13
Phil. Trans. R. Soc. A (2011) 369, 4666–4678 doi:10.1098/rsta.2011.0270 Clinical translation of optical and optoacoustic imaging BY VASILIS NTZIACHRISTOS* Chair for Biological Imaging and Institute for Biological and Medical Imaging (IBMI), Technische Universität München and Helmholtz Zentrum München, Munich, Germany Macroscopic optical imaging has rather humble technical origins; it has been mostly implemented by photographic means using appropriate filters, a light source and a camera yielding images of tissues. This approach relates to human vision and perception, and is simple to implement and use. Therefore, it has found wide acceptance, especially in recording fluorescence and bioluminescence signals. Yet, the difficulty in resolving depth and the dependence of the light intensity recorded on tissue optical properties may compromise the accuracy of the approach. Recently, optical technology has seen significant advances that bring a new performance level in optical investigations. Quantitative real-time multi-spectral optical and optoacoustic (photoacoustic) methods enable high-resolution quantitative imaging of tissue and disease biomarkers and can significantly enhance medical vision in diagnostic or interventional procedures such as dermatology, endoscopy, surgery, and various vascular and intravascular imaging applications. This performance is showcased herein and examples are given to illustrate how it is possible to shift the paradigm of optical clinical translation. Keywords: optoacoustic; imaging; clinical; intravascular; multi-spectral; near-infrared 1. Introduction Optical methods, such as microscopy or fluorescence assays, have been widely employed in biology to reveal information on otherwise invisible cellular and sub-cellular components. In parallel, the engineering of photo-absorbing nanoparticles, fluorescent proteins and probes for in vivo use has allowed the study of dynamic processes in their unperturbed environments [1,2]. The use of externally administered optical agents can impart high contrast, improve detection sensitivity and enable the visualization of several biological targets or biomarkers simultaneously. In addition, the use of non-radio-decaying agents allows measurements over extended periods of time and enables longitudinal studies and safe operation. With the availability of disease-specific agents developed for in vivo use, such as fluorescence-based probes, engineered dyes or photo-absorbing nanoparticles, optical imaging has also become an attractive modality for pre-clinical and *[email protected] One contribution of 20 to a Theo Murphy Meeting Issue ‘Illuminating the future of biomedical optics’. This journal is © 2011 The Royal Society 4666 on November 23, 2018 http://rsta.royalsocietypublishing.org/ Downloaded from

Clinical translation of optical and optoacoustic imaging

  • Upload
    others

  • View
    0

  • Download
    0

Embed Size (px)

Citation preview

Phil. Trans. R. Soc. A (2011) 369, 4666–4678doi:10.1098/rsta.2011.0270

Clinical translation of optical andoptoacoustic imaging

BY VASILIS NTZIACHRISTOS*

Chair for Biological Imaging and Institute for Biological and Medical Imaging(IBMI), Technische Universität München and Helmholtz Zentrum München,

Munich, Germany

Macroscopic optical imaging has rather humble technical origins; it has been mostlyimplemented by photographic means using appropriate filters, a light source and a camerayielding images of tissues. This approach relates to human vision and perception, andis simple to implement and use. Therefore, it has found wide acceptance, especiallyin recording fluorescence and bioluminescence signals. Yet, the difficulty in resolvingdepth and the dependence of the light intensity recorded on tissue optical propertiesmay compromise the accuracy of the approach. Recently, optical technology has seensignificant advances that bring a new performance level in optical investigations.Quantitative real-time multi-spectral optical and optoacoustic (photoacoustic) methodsenable high-resolution quantitative imaging of tissue and disease biomarkers and cansignificantly enhance medical vision in diagnostic or interventional procedures suchas dermatology, endoscopy, surgery, and various vascular and intravascular imagingapplications. This performance is showcased herein and examples are given to illustratehow it is possible to shift the paradigm of optical clinical translation.

Keywords: optoacoustic; imaging; clinical; intravascular; multi-spectral; near-infrared

1. Introduction

Optical methods, such as microscopy or fluorescence assays, have been widelyemployed in biology to reveal information on otherwise invisible cellularand sub-cellular components. In parallel, the engineering of photo-absorbingnanoparticles, fluorescent proteins and probes for in vivo use has allowed thestudy of dynamic processes in their unperturbed environments [1,2]. The useof externally administered optical agents can impart high contrast, improvedetection sensitivity and enable the visualization of several biological targetsor biomarkers simultaneously. In addition, the use of non-radio-decaying agentsallows measurements over extended periods of time and enables longitudinalstudies and safe operation.

With the availability of disease-specific agents developed for in vivo use, suchas fluorescence-based probes, engineered dyes or photo-absorbing nanoparticles,optical imaging has also become an attractive modality for pre-clinical and*[email protected]

One contribution of 20 to a Theo Murphy Meeting Issue ‘Illuminating the future of biomedicaloptics’.

This journal is © 2011 The Royal Society4666

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from

Clinical optical and optoacoustic imaging 4667

clinical molecular imaging [3]. Conventional optical imaging however comeswith two major complications. First, in contrast to clear solutions or ultra-thin(5–10 mm) tissue slices, intact tissue scatters light significantly and leads to loss ofresolution and challenging image formation [4]. Second, optical attenuation owingto absorption and scattering modifies the signal intensity coming from the opticalagent in a nonlinear manner [5,6]. Therefore, the variation of optical properties intissue modulates the recorded signals potentially leading to inaccurate readings[7]. Solutions that are appropriate for clinical imaging and can account for theselimitations can be grouped into three general categories. The first includes epi-illumination or transillumination and tomographic imaging methods that takemeasures to correct for the effect of variation of tissue optical properties onfluorescence signals and offer accurate imaging over photographic approaches.The second strategy uses optoacoustic approaches that are effectively sensitiveonly to absorption changes and they can, through multi-spectral unmixing,decompose the presence of fluorochromes and other photo-absorbing agentsover the background tissue absorption [8]. Finally, a third strategy uses tissue-sectioning microscopy, for example confocal or two-photon microscopy, whichdisentangles the effects of scattering and absorption [2,9]. In this case, diffraction-limited resolution can be achieved at the expense of reduced fields of view anddepth. Optical coherence tomography (OCT) [10] also qualifies under microscopybut instead uses scattering as the prime contrast mechanism. Scattering in thiscase nevertheless reduces the signal available to the method past a few millimetresdeep; but otherwise gives rise to the contrast observed on OCT images.

Following on from the opportunity of the truly remarkable 2010 Royal SocietyScientific Discussion Meeting on Biomedical Optics, where I had the honourof participating, I give herein a perspective on the first two and perhaps less-explored imaging strategies, i.e. normalized fluorescence imaging and optoacousticimaging. I present examples on state-of-the-art optical imaging performanceachieved with these methods, which explain the potential and high promise forclinical use. Performance is mentioned in the context of imaging ability, i.e.accuracy, depth and resolution, which, owing to the progress with multi-spectraland optoacoustic methods and corresponding data-processing schemes, yieldstruly unparalleled performance over macroscopic optical imaging of the past.Accordingly, clinical optical imaging herein refers more specifically to methodsthat operate under high light-scattering conditions and use in vivo ‘staining’methods to improve upon the diagnostic or sensing sensitivity and specificityover intrinsic tissue contrast.

2. Imaging in the near-infrared

Light in the visible wavelength range is routinely used in diagnosticand interventional imaging. Surgery, various endoscopies and laparoscopies,dermatological inspections and even the first ‘look’ at a patient presenting withdisease symptoms are all performed with a white-light source and the humaneye as the detector. Human vision however is limited in terms of penetrationdepth (only the first few tens of micrometres are visible under white-lightepi-illumination conditions) and importantly contrast. The human eye is arather poor spectral detector, especially with regard to quantitatively identifying

Phil. Trans. R. Soc. A (2011)

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from

4668 V. Ntziachristos

possible spectral differences between healthy and diseased tissues, for examplein benign versus malignant tumours, even though basic features such as largelyde-oxygenated tissues, melanomas or increased levels of bilirubin can be detectedwith the naked eye.

Correspondingly, various optical techniques attempt to improve upon theperformance of human vision. For probing deep under the surface, a well-knownstrategy is operation in the near-infrared (NIR) spectral region, where lightpropagating in tissues undergoes less attenuation compared with the visible. Inthis case, it is possible to achieve depths of several centimetres depending onthe tissue type. Typically, greater than 3 cm can be achieved in muscle andbrain and greater than 10 cm in less-attenuating organs such as the humanbreast [11]. Correspondingly, several molecules with the ability to reveal biologicalprocesses associated with disease and treatment are labelled with NIR fluorescentdyes. Besides fluorochromes, other dyes and nanoparticles with absorption inthe NIR have also been considered as optical probes, in particular as regardsoptoacoustic imaging. Collectively, the use of externally administered opticalagents is a second strategy to improve upon the limitations of human vision, byimproving on the detection sensitivity and specificity. Depending on the detectionmethod employed, the sensitivity can also be very high, typically less than100 fmol of an organic dye can be detected. Imaging in the NIR region has theadded advantage of minimizing the tissue auto-fluorescence present, which canimprove target to background ratios in fluorescence imaging.

3. Normalized epi-illumination imaging

(a) Limitations of photographic approaches

Epi-illumination ‘photographic’ imaging probably qualifies as the simpler formof optical imaging. The method uses light with a defined spectral bandwidth,such as a filtered white light, a laser source or a laser diode; an exact bandwidthselection being important especially to excite fluorochromes when the methodis applied for fluorescence imaging. The source light is expanded and emittedtowards tissues in order to generate an illumination field. Light incident on thesurface of interest can propagate for several millimetres in tissues, especially inthe far-red and NIR (630–900 nm). The corresponding photon field establishedin the tissue has a depth-dependent strength and can excite tissue fluorochromesin its path. Fluorescence signals generated by this process can similarly propagateto the tissue surface, where they are recorded with a highly sensitive charge-coupled device camera through appropriate filters. Applied in epi-illuminationor reflectance mode, i.e. a geometrical arrangement where illumination anddetection are at the same side of the tissue imaged, the method is appropriate foropen surgery (figure 2) or for endoscopic procedures, for example colonoscopy orlaparoscopy.

Epi-illumination optical imaging achieved in the NIR comes withcomplications; in particular, as it relates to the effects of light diffusionon the images collected. In fluorescence imaging, a major challenge is thatimages collected with simple photographic approaches do not reflect fluorescencebiodistribution [7,12,13]. Instead, they are the coupled interaction of fluorescence,absorption and scattering; a nonlinear mixing process. Besides the loss of

Phil. Trans. R. Soc. A (2011)

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from

Clinical optical and optoacoustic imaging 4669

resolution, scattering and absorption modify the intensity and spatial appearanceof fluorescence signals resulting in image distortion and quantification errors[14]. For example, areas with higher vascularization will offer higher attenuationof fluorescence light compared to areas with less blood content. It is thereforepossible that a vascular, and therefore absorbing, diseased area with significantfluorochrome accumulation may appear darker than an adjacent benign area thatis only scattering, for example an area containing adipose tissue, even if smallamounts of fluorochrome are present in the non-absorbing area. These effects havebeen generally noted [7,15] and can lead to false negatives and false positives; suchan example is shown in figure 1.

‘Photographic methods’ have been regardless extensively employed forfluorescence and bioluminescence imaging of small animals as they offer verypractical features, including the simplicity of implementation and operationand the safe, non-ionizing energies employed. Under controlled conditions, forexample when imaging the same animal model over time, the results can reflectrelative changes in a biological process and lead to a non-invasive evaluationof the underlying activity. In more complex schemes, however, for example inclinical measurements where the size, depth and optical properties of the areavisualized are less accurately known, the accuracy of the method can deteriorate.Therefore, for applications in mainstream medical imaging and importantly forobtaining appropriate approvals for medical use, it is important to use systemsthat are accurate, i.e. they decompose the effects of tissue optical properties onthe fluorescence images and in this way eliminate the appearance of false positivesand false negatives that is possible on raw (uncorrected) fluorescence images.

An emerging strategy for improving the accuracy of photographic imagingis the development of normalization techniques that can compensate for theeffects of optical properties on the resulting images. Normalization refers tocancelling the effects of tissue on the collected images; for example, the effects oftissue optical properties on corresponding fluorescence images collected. For beingrelevant to clinical use, such a method needs to be executed without compromisingthe scan times or simplicity of operation of conventional photographic imaging[7,13]. In this case, it becomes important to independently detect the fluorescencecontributions and the contributions of optical properties, typically by employingmulti-spectral imaging methods.

Multi-spectral imaging generally refers to imaging methods that capturemultiple images at different spectral regions or methods that can resolve multiplespectra. The spectral regions can be selected adjacent and consecutive overa wider spectral window or have a different pattern for detecting particularfluorochromes of chromophores. In epi-illumination imaging, the multi-spectraldecomposition can be applied either to the back-reflected (excitation) light orthe fluorescence light. The normalization methods considered so far use at leaston aspect of this multi-spectral analysis to provide data for correction. Onenormalization method divides images obtained at a fluorescence wavelength withimages obtained at the excitation wavelength [16]. This approach has recentlyshown significant accuracy improvement over uncorrected images in the caseof varying tissue absorption [7], while corrections for scattering variations ordepth are also possible. Figure 1c depicts the effects of correction on the rawfluorescence image shown in figure 1b. Of importance for clinical use in this caseis the simultaneous collection of images at different spectral bands of interest,

Phil. Trans. R. Soc. A (2011)

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from

4670 V. Ntziachristos

(a)

(b)

1mm

(c)

Figure 1. Example of normalized versus non-normalized fluorescence imaging. (a) Postmortemcolour image of the surgically exposed abdominal area of a mouse in epi-illumination mode. Thetwo white arrows show the lumbar lymph nodes injected with a mixture of Cy5.5 fluorescence dyeand India ink, around the inferior vena cava (double line arrow). The orange arrow indicates anarea of adipose tissue. (b) Raw fluorescence image showing low signal intensity from the lymphnodes compared with bright background signals because of internal light attenuation owing tothe India ink, but increased fluorescence intensity from the adipose tissue owing to scattering offluorescent light escaping laterally from the nodes. (c) Corrected image showing markedly improvedfluorescence quantification, correctly resolving the underlying fluorescence activity in the nodes.Reproduced from Themelis et al. [7]. (Online version in colour.)

recorded over an identical field of view. For this reason, a multiple camera systemvisualizing through a common optical lens was developed and used, as shown infigure 2. Typically, all endoscopic or surgical imaging operates at video rate, oftenwith the physician changing continuously the position of the endoscope or camera.

Phil. Trans. R. Soc. A (2011)

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from

Clinical optical and optoacoustic imaging 4671

CCD camera 1:

CCD camera 2:intrinsic

CCD camera 3:colour

fluorescence

band pass filter 1

band pass filter 2

halogenlight source

zoom lens

polarizer

beam expander

beam expander

glass window

and polarizer

and polarizer x–y linear stage

relay lens

relay lens

relay lens

dichroic mirror 1

laser diode

dichroic mirror 2

(b)(a)

(c)

Figure 2. Example of epi-illumination imaging. (a) Real-time multi-spectral epi-illuminationfluorescence imaging system developed for clinical imaging. The system uses three charge-coupleddevice (CCD) cameras that can simultaneously capture the same field of view. In this manner,different co-registered spectral bands can be collected in real time. (b) Colour image obtained withthis system. (c) Corresponding normalized fluorescence image after the injection of the fluorescentagent IntegriSense (Visen Medical, Woburn, MA, USA; now PerkinElmer). Images courtesy ofGeorge Themelis, IBMI. Reproduced from Themelis et al. [7]. (Online version in colour.)

Therefore, the ability to collect multi-spectral images and process them at video-rate speeds to offer normalized performance needs to occur within a few tens ofmilliseconds to achieve video-rate operation. The system in figure 2a can collectcolour images and two more channels that can be selected in different spectralbands, for example one collecting a fluorescence image and the other collecting animage at the excitation wavelength. Figure 2b shows a colour image of a mousetumour and figure 2c shows correspondingly a normalized fluorescence image,rendered in pseudocolour and superimposed on the colour image. Similarly, othernormalization methods have been proposed to improve the accuracy of normalizedimaging over raw photographic fluorescence images [13,17].

Normalized epi-illumination imaging is an ideal tool for interventional imagingand it has been already applied in clinical studies using targeted and non-targetedfluorescence agents. The placement of our system in the operating room is shownin figure 3, which also summarizes measurements from imaging lymph nodes ina cervical carcinoma patient, as described in the study of Crane et al. [18]. Theapproach can operate in real-time, video-rate mode and attains large field of

Phil. Trans. R. Soc. A (2011)

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from

4672 V. Ntziachristos

(a) (b)

(c)

(d)

Figure 3. Clinical translation of normalized epi-illumination fluorescence imaging. (a) Multi-spectral camera placed in the operating room for breast, ovarian and cervical cancer imaging.Imaging of a lymph node in a cervical carcinoma patient after the injection of indocyanine green:(b) colour image, (c) fluorescence image and (d) overlay of the fluorescence image in pseudocolouron the colour image. From Crane et al. [18]. (Online version in colour.)

view rendering it appropriate for screening and overall for inspecting large tissueareas, which is necessary in surgery, colonoscopy, etc. Similarly, the methodgenerally offers simplicity of operation, safety and high sensitivity for opticalcontrast of cancers close to the surface. Typical acquisition times range froma few milliseconds to a few seconds. Normalized epi-illumination systems can bemade portable and to have small space requirements to be ideal for the laboratorybench or the operating room. They also naturally relate to the physician’s visionand field of view so that they can naturally integrate in several clinical settings.

4. Multi-spectral optoacoustic tomography

Another potent approach for detecting fluorochromes and other chromophoricagents is the use of multi-spectral optoacoustic methods. This technology hasrecently resolved, with high resolution, fluorescent and other photo-absorbingagents through several millimetres to centimetres of tissue [3,8]. The method

Phil. Trans. R. Soc. A (2011)

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from

Clinical optical and optoacoustic imaging 4673

is based on optoacoustic (photoacoustic) principles [19–21] and can be appliedto overcome major limitations of conventional optical imaging while retainingmany of the advantages of photonic methods. This is achieved by combiningthe highly versatile optical contrast resolved with multi-spectral methods withultrasonic resolution.

Multi-spectral optoacoustic tomography (MSOT) operates on the identificationof the spectral signatures of reporter molecules and their decomposition from thespectra of intrinsic molecules such as haemoglobin, melanin and other naturaltissue absorbers. A characteristic of the method is that it does not have strongsensitivity to scattering, which is an advantage as it can achieve resolutiontypical of ultrasound imaging and not of optical imaging. The detection processitself relies on optoacoustics, i.e. the detection of ultrasonic signals induced bythe absorption of pulsed light emitted at multiple wavelengths. The amplitudeof the generated broadband ultrasound waves reflects local optical absorptionproperties, multiplied by the local photon fluence. Correspondingly, MSOTimages also retain a dependence on tissue optical properties, as the photon fluencegenerated in a tissue volume is directly related to its optical properties. Thisdependence is more evident with depth and, similar to epi-illumination imagingapproaches, normalization or correction becomes important for achieving accurateperformance. In this case, the availability of multiple wavelengths also offerspossibilities for normalization; an area of current research developments.

Optoacoustic imaging has high potential for clinical translation, as it enablesthe detection of optical contrast with characteristics analogous to normalized epi-illumination imaging. A recent literature review from our group outlines manyscanners developed for clinical use [13]. It can offer real-time sensing, portabilityand the use of non-ionizing radiation. In addition, however, it offers high-resolution three-dimensional performance which is not available to normalizedepi-illumination imaging. This aspect is illustrated in figure 4, showing resultsfrom real-time imaging of a female, eight-week-old CD1 mouse, which wasanaesthetized with a mixture of ketamine and xylazine and injected intravenouslywith 0.3 mmol of indocyanine green (ICG) solution. The results show theanatomical imaging ability of the method, resolving in this case optical differencesdemarcating the kidneys. Importantly, they also show the ability to resolvethe ICG biodistribution in the kidneys as a function of time. The acquisitionsequence in this case consisted of single pulse per slice and wavelength images;i.e. each single frame is collected with a single laser pulse, a process that lastsapproximately 50 ms. Correspondingly, this approach can result in true ‘real-time’imaging applications, as the sampling time is significantly shorter than most timescales common to biological changes.

In addition to the single-wavelength measurements shown in figure 4a, multi-spectral scanning over nine wavelengths (i.e. 750, 770, 790, 810, 830, 850, 870, 890and 910 nm) was also performed. These data can be processed either by takingthe difference of images acquired over time versus a baseline measurement attime t = 0 or by multi-spectral analysis in order to identify the ICG absorptionspectral signature. The ability for spectral unmixing is important as, in this case,the detection can be achieved without baseline measurements, which are notgenerally available in clinical imaging. Conversely, multi-spectral scanning slowsdown the acquisition times. With current laser wavelength scanning times, thecollection rate is approximately 1 s per frame which does not qualify as real-time

Phil. Trans. R. Soc. A (2011)

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from

4674 V. Ntziachristos

0 s 0 s

3

diff

eren

tial a

bsor

ptio

n (a

rb. u

nits

)op

tical

abs

orpt

ion

(arb

. uni

ts)

2

1

2.5

2.0

1.5

1.0

0.5

16.2 s 16.2 s

34.2 s 34.2 s

97.3 s 97.3 s

106.4 s 106.4 s

5 mm

(a) (b)

Figure 4. (a) Cross-sectional optoacoustic images at different time points of the kidneys of a femaleCD1 mouse illuminated at 800 nm after having injected 0.33 mmol of ICG. (b) Superposition of thedifference image and single-wavelength image before injection. From Buehler et al. [22]. (Onlineversion in colour.)

scanning and it may be prone to movement errors. Correspondingly, the need forfaster scanning technologies is important for realizing the full clinical potentialof the technology.

MSOT operates optimally by selecting fluorochromes, other chromophores andphoto-absorbing nanoparticles with distinct absorption spectra, in particular,spectra with steep changes over narrow wavelength bands. When using fluorescent

Phil. Trans. R. Soc. A (2011)

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from

Clinical optical and optoacoustic imaging 4675

dyes, the emphasis is on low-quantum-yield fluorochromes, which convert a largepart of the absorbed energy to thermal energy. The absorption spectrum of ICGhas notable changes in the spectral window at 750–850 nm, compared with theabsorption variation of the spectra of intrinsic tissue chromophores in this spectralregion. Therefore, tissue contrast can be readily decomposed from the spectrum ofICG or another externally administered photo-absorbing agent. The use of dyes orphoto-absorbing nanoparticles with large absorption cross sections is particularlyhelpful for optoacoustic signal generation as they can increase the sensitivity perinjected particle; however, the ultimate determination of sensitivity depends notonly on the ability of the agent to efficiently absorb light but also its abilityto localize in appropriate amounts in the intended lesion. The latter is betterachieved by agents of small size, such as dyes and organic molecules versus largeparticles. Therefore, the optimal MSOT agent should balance absorption crosssection and size for achieving optimal sensitivity.

Optoacoustic imaging typically uses transducers in physical contact withtissue, similar to ultrasound imaging. Therefore, the method is not well suitedfor inspecting large fields of view, in analogy to lens-based detection using acamera, but it can generally offer much larger fields of view compared withoptical microscopy. By detecting physiological parameters such as blood contentand hypoxia, resolving anatomical contrast and imaging and quantifying thebiodistribution of extrinsically administered agents, MSOT is therefore expectedto find clinical application that resembles operation ultrasound applications.Detection of vessels and vascular diseases, characterization of the oxygenationstatus of various tissues and detection of disease biomarkers, especially usingexternally administered agents, for example in cancer or atherosclerosis, areareas where MSOT can bring important visualization solutions. Importantly, themethod may be combined with normalized epi-illumination imaging for three-dimensionally resolving tissue structures at areas where epi-illumination imaginghas identified suspicious lesions based on the normalized fluorescence signals.

5. Fibre-based catheter imaging

Fibre-based fluorescence imaging is an emerging imaging method that is suitedfor interventional cardiology procedures, in particular, intravascular imaging.The development of catheter-based fluorescence imaging has been showcasedrecently [23,24]. Fluorescence imaging can illuminate the underlying biologyof atherosclerosis using a combination of molecular- and cellular-targetedimaging probes, together with sensitive, clinically applicable hardware detectionmodalities. Intravascular imaging is common, most notably through intravascularultrasound and OCT. While these modalities offer primarily anatomical images,there is a high synergistic effect in the combination with fluorescence detectionin order to offer physiological and molecular imaging of atheromas and stents.Important questions in this case are the performance in characterizing plaquerisk and the overall condition of carotids, coronaries and other similar-sized vesselparts in vivo.

Recently, the use of NIR fluorescent molecular probes with sensitivityto inflammation has shown promise for sensitive and specific detectionof inflammatory proteolytic activity in atherosclerosis [25]. While original

Phil. Trans. R. Soc. A (2011)

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from

4676 V. Ntziachristos

observations were based on one-dimensional manual pullback systems, rotationalfibre systems were more recently developed and have shown in vivo imagingability [24]. For clinical measurements, this basic approach should be expandedto normalization (correction) and the MSOT method in order to improvethe accuracy of the observation and offer a robust assessment of biomarkersindependently of the presence of blood and the vessel size.

6. Discussion

While human vision has been a standard of care in everyday healthcareapplications, notably in endoscopies, surgeries and other interventions, a numberof novel optical methods are emerging that have the potential to significantlyenhance human vision. Besides microscopic methods such as OCT or confocalmicroscopy that are suitable for surface and sub-surface interrogations, deepertissue imaging also becomes possible through optical and optoacoustic methodsthat correct for the nonlinear dependencies of light propagating in tissues in orderto offer medical-grade performance ensuring accurate (quantitative) methods thateliminate the appearance of positive and negative artefacts.

Herein, through my own examples, I have attempted to illuminate opticalsystems with the potential ability to improve healthcare procedures. Even thoughOCT methods have been considered for deep tissue imaging for more than adecade, large field of view normalized fluorescence imaging methods, operatingat video rates, appear to have more immediate clinical propagation potential insurgical and endoscopic procedures. Similarly, fibre-based fluorescence imagingmay become an add-on method to existing intravascular imaging approaches.High-resolution MSOT also has high potential for key applications in surgery,dermatology and endoscopy by assessing the three-dimensional appearance ofvessels, oxygenation status and disease biomarkers in suspicious lesions.

The combination of adept fluorescent and other photo-absorbing agents withthe above imaging methods can shift the paradigm of many current humanvision-based clinical procedures. Already one such study performed by theTechnische Universität München and Helmholtz Zentrum München, and theUniversity Medical Center Groningen has achieved the clinical translation of afolate-targeting fluorescent agent for identifying ovarian cancer during surgery;a study that will be published soon. Important to the practical propagation offluorescence interventional imaging is the availability of additional fluorescentagents with molecular specificity for clinical use. There are several importantagents that would be appropriate for clinical use safety-wise and can improve theidentification of currently invisible lesions and processes. Many labelled antibodiesand fragments have been widely used in biological research and have shown notoxicity in experimental studies. While such observations need to be documentedaccurately with appropriate studies, on a per labelled agent basis, there is amounting possibility to explore such agents in clinical studies—in analogy toinvestigations ongoing in nuclear imaging applications. Overall, the approval forsuch agents for clinical use can be a lengthy process but the clinical use of carefullyselected and validated agents can radically change the accuracy of interventionalprocedures, when compared with the current standard of clinical decision-makingin this case, i.e. primarily human vision.

Phil. Trans. R. Soc. A (2011)

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from

Clinical optical and optoacoustic imaging 4677

References

1 Giepmans, B. N. G., Adams, S. R., Ellisman, M. H. & Tsien, R. Y. 2006 Review: the fluorescenttoolbox for assessing protein location and function. Science 312, 217–224. (doi:10.1126/science.1124618)

2 Jain, R. K., Munn, L. L. & Fukumura, D. 2002 Dissecting tumour pathophysiology usingintravital microscopy. Nat. Rev. Cancer 2, 266–276. (doi:10.1038/nrc778)

3 Ntziachristos, V. 2010 Going deeper than microscopy: the optical imaging frontier in biology.Nat. Methods 7, 603–614. (doi:10.1038/nmeth.1483)

4 Yodh, A. G. & Chance, B. 1995 Spectroscopy and imaging with diffusing light. Phys. Today48, 34–40. (doi:10.1063/1.881445)

5 Arridge, S. R. 1999 Optical tomography in medical imaging. Inverse Probl. 15, R41–R93.(doi:10.1088/0266-5611/15/2/022)

6 Schotland, J. C. & Leigh, J. S. 1992 Photon diffusion imaging. FASEB J. 6, A446.7 Themelis, G., Yoo, J., Soh, K., Schulz, R. & Ntziachristos, V. 2009 Real-time intraoperative

fluorescence imaging system using light-absorption correction. J. Biomed. Opt. 14, 064012.(doi:10.1117/1.3259362)

8 Ntziachristos, V. & Razansky, D. 2010 Molecular imaging by means of multi-spectral opto-acoustic tomography (MSOT). Chem. Rev. 110, 2783–2794. (doi:10.1021/cr9002566)

9 Denk, W., Strickler, J. H. & Webb, W. W. 1990 Two-photon laser scanning fluorescencemicroscopy. Science 248, 73–76. (doi:10.1126/science.2321027)

10 Zysk, A. M., Nguyen, F. T., Oldenburg, A. L., Marks, D. L. & Boppart, S. A. 2007 Opticalcoherence tomography: a review of clinical development from bench to bedside. J. Biomed. Opt.12, 051403. (doi:10.1117/1.2793736)

11 Buehler, A., Herzog, E., Razansky, D. & Ntziachristos, V. 2010 Video rate optoacoustictomography of mouse kidney perfusion. Opt. Lett. 35, 2475–2477. (doi:10.1364/OL.35.002475)

12 Yang, V. X., Muller, P. J., Herman, P. & Wilson, B. C. 2003 A multispectral fluorescenceimaging system: design and initial clinical tests in intra-operative photofrin-photodynamictherapy of brain tumors. Lasers Surg. Med. 32, 224–232. (doi:10.1002/lsm.10131)

13 Bogaards, A., Sterenborg, H. J., Trachtenberg, J., Wilson, B. C. & Lilge, L. 2007 In vivoquantification of fluorescent molecular markers in real-time by ratio imaging for diagnosticscreening and image-guided surgery. Lasers Surg. Med. 39, 605–613. (doi:10.1002/lsm.20525)

14 Soubret, A., Ripoll, J. & Ntziachristos, V. 2005 Accuracy of fluorescent tomography in thepresence of heterogeneities: study of the normalized Born ratio. IEEE Med. Imaging 24,1377–1386. (doi:10.1109/TMI.2005.857213)

15 Stummer, W., Novotny, A., Stepp, H., Goetz, C., Bise, K. & Reulen, H. J. 2000 Fluorescence-guided resection of glioblastoma multiforme by using 5-aminolevulinic acid-induced porphyrins:a prospective study in 52 consecutive patients. J. Neurosurg. 93, 1003–1013. (doi:10.3171/jns.2000.93.6.1003)

16 Ntziachristos, V., Turner, G., Dunham, J., Windsor, S., Soubret, A., Ripoll, J. & Shih, H. 2005Planar fluorescence imaging using normalized data. J. Biomed. Opt. 10, 064007. (doi:10.1117/1.2136148)

17 Bogaards, A. et al. 2004 Increased brain tumor resection using fluorescence image guidance ina preclinical model. Lasers Surg. Med. 35, 181–190. (doi:10.1002/lsm.20088)

18 Crane, L. M., Themelis, G., Pleijhuis, R. G., Harlaar, N. J., Sarantopoulos, A., Arts, H. J.,van der Zee, A. G., Ntziachristos, V. & van Dam, G. M. In press. Intraoperative multispectralfluorescence imaging for the detection of the sentinel lymph node in cervical cancer: a novelconcept. Mol. Imaging Biol. (doi:10.1007/s11307-010-0425-7)

19 Colles, M. J., Geddes, N. R. & Mehdizadeh, E. 1979 The optoacoustic effect. Contemp. Phys.20, 11–36. (doi:10.1080/00107517908227800)

20 Rosencwaig, A. & Griffiths, P. R. 1981 Photoacoustics and photoacoustic spectroscopy. Phys.Today 34, 64–66. (doi:10.1063/1.2914619)

21 Kruger, R. A., Liu, P., Fang, Y. R. & Appledorn, C. R. 1995 Photoacoustic ultrasound (PAUS)-reconstruction tomography. Med. Phys. 22, 1605–1609. (doi:10.1118/1.597429)

Phil. Trans. R. Soc. A (2011)

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from

4678 V. Ntziachristos

22 Buehler, A., Herzog, E., Razansky, D. & Ntziachristos, V. 2010 Video rate optoacoustictomography of mouse kidney perfusion. Opt. Lett. 35, 2475–2477. (doi:10.1364/OL.35.002475)

23 Zhu, B., Jaffer, F., Ntziachristos, V. & Weissleder, R. 2005 Development of a near infraredfluorescence catheter: operating characteristics and feasibility for atherosclerotic plaquedetection. J. Phys. D Appl. Phys. 38, 2701–2707. (doi:10.1088/0022-3727/38/15/024)

24 Razansky, R., Rosenthal, A., Mallas, G., Razansky, D., Jaffer, F. & Ntziachristos, V. 2010Near-infrared fluorescence catheter system for two-dimensional intravascular imaging in vivo.Opt. Express 18, 11 372–11 381. (doi:10.1364/OE.18.011372)

25 Jaffer, F., John, M., Vinegoni, C., Aikawa, E., Gold, H., Finn, A., Ntziachristos, V., Libby, P. &Weissleder, R. 2008 Real-time catheter molecular sensing of inflammation in proteolytically act-ive atherosclerosis. Circulation 118, 1802–1809. (doi:10.1161/CIRCULATIONAHA.108.785881)

Phil. Trans. R. Soc. A (2011)

on November 23, 2018http://rsta.royalsocietypublishing.org/Downloaded from