[email protected] , IHP, 12 fvrier2014 Heat AND stress
confinement regime: initial value problem
[email protected] , IHP, 12 fvrier2014 time pressure 2 s
R T c 0 . 2 P R P r Heat AND stress confinement regime: initial
value problem
[email protected] , IHP, 12 fvrier2014 Manohar S. et al,
Optics Express 15(19), 2007 Manohar S. et al, Physics in Medicine
& Biology 50(11), 2005 2D PVDF array Light wavelength : 1064 nm
Ultrasound frequency : 1 MHz Imaging depth : ~ 2 cm Resolution : ~
2 mm Acquisition time : ~ 30 min Examples of applications: breast
tumor imaging
[email protected] , IHP, 12 fvrier2014 Zhang E. et al,
Physics in Medicine and Biology 54(4), 2009 Optical detection with
a Fabry-Perot Light wavelength : 670 nm Ultrasound frequency : 0 20
MHz Imaging depth : ~ 6 mm Resolution : ~ 100 m Acquisition time :
~ 15 min Examples of applications: vascularization imaging
[email protected] , IHP, 12 fvrier2014 Hu S. et al,
Optics Letters 36(7), 2011 Focused single element transducer dual
light wavelength : 561&570 nm Ultrasound frequency : 30 70 MHz
Imaging depth : < 1 mm Resolution : ~ 10 m Acquisition time : ~
80 min Hu S. et al, Optics Letters 36(7), 2011 Examples of
applications: functional imaging
[email protected] , IHP, 12 fvrier2014 Principles of
photoacoustic image formation ? Two different configurations:
Reconstruction-free imaging Reconstruction-based imaging
[email protected] , IHP, 12 fvrier2014 Hu S. et al,
Optics Letters 36(7), 2011 time ( = distance) Reconstruction-free
imaging
[email protected] , IHP, 12 fvrier2014A. Funke, JFA, MF,
ACB and E. Bossy, Applied Physics Letters 94(5), 2009 Set of raw
photoacoustic signals "reconstruction-based" : images are obtained
by some reconstruction algorithm. Each point of the final image is
computed from multiple signals. Reconstruction-based imaging (also
tomography)
[email protected] , IHP, 12 fvrier2014
Reconstruction-based imaging (also tomography) Reconstructed image
"reconstruction-based" : images are obtained by some reconstruction
algorithm. Each point of the final image is computed from multiple
signals. A. Funke, JFA, MF, ACB and E. Bossy, Applied Physics
Letters 94(5), 2009
[email protected] , IHP, 12 fvrier2014 Photoacoustics in
optically scattering media
[email protected] , IHP, 12 fvrier2014 Enhanced
photoacoustic imaging with speckle illumination speckle
illumination J. Gteau, T. Chaigne, O. Katz, S. Gigan and E. Bossy,
Optics Letters 38(23), 2013
[email protected] , IHP, 12 fvrier2014 speckle
illumination fluctuations (N = 2) fluctuations (N = 50) uniform
illuminationphotograph Enhanced photoacoustic imaging with speckle
illumination J. Gteau, T. Chaigne, O. Katz, S. Gigan and E. Bossy,
Optics Letters 38(23), 2013
[email protected] , IHP, 12 fvrier2014 speckle illum.
Fluct. (N = 50) Fluct. (N = 2) uniform illum. Enhanced
photoacoustic imaging with speckle illumination J. Gteau, T.
Chaigne, O. Katz, S. Gigan and E. Bossy, Optics Letters 38(23),
2013 photograph
[email protected] , IHP, 12 fvrier2014 Optimization
Background: controlling light through scattering media
[email protected] , IHP, 12 fvrier2014 Signal to
optimizeSignal to optimize See also Kong, F. et al., Opt. Lett. 36,
2053-2055 (2011) (monochromatic, long coherence length) X 10
Photoacoustic-guided optimization
[email protected] , IHP, 12 fvrier2014 29Chaigne et al.
arXiv preprint arXiv:1310.7535 (2013). Photoacoustic-guided
optimization with spectral filtering
[email protected] , IHP, 12 fvrier2014 SLM : array of N
pixels Linear system camera CCD : arrays of M pixels = An
alternative approach: the transmission matrix (S. Gigan)
[email protected] , IHP, 12 fvrier2014 Plane wave input
SLM CCD sample SLM CCD sample SLM CCD sample S. Popoff, GL, RC, MF,
ACB and S. Gigan. Phys. Rev. Lett. 104,100601 (2010) An alternative
approach: the transmission matrix (S. Gigan)
[email protected] , IHP, 12 fvrier2014T. Chaigne, O.
Katz, ACB, MF, E. Bossy and S. Gigan, Nature Photonics, 8, 58-64
(2014) (532nm, 10Hz, 10ns ) absorbing wires (diameter= 30m) 140
pixels phase-only spherically focused 30MHz central freq f-number=2
The photoacoustic transmission-matrix approach
[email protected] , IHP, 12 fvrier2014 SLM The
photoacoustic transmission-matrix approach T. Chaigne, O. Katz,
ACB, MF, E. Bossy and S. Gigan, Nature Photonics, 8, 58-64
(2014)
[email protected] , IHP, 12 fvrier2014 (arb.u.) The
photoacoustic transmission-matrix approach T. Chaigne, O. Katz,
ACB, MF, E. Bossy and S. Gigan, Nature Photonics, 8, 58-64
(2014)
[email protected] , IHP, 12 fvrier2014 Focusing through
0.5mm thick chicken breast tissue The photoacoustic
transmission-matrix approach T. Chaigne, O. Katz, ACB, MF, E. Bossy
and S. Gigan, Nature Photonics, 8, 58-64 (2014)
[email protected] , IHP, 12 fvrier2014 The 2-D
photoacoustic transmission-matrix approach The photoacoustic
transmission-matrix contains information on multiple random
illuminations : equivalent to several speckle illumination
Submitted (arXiv:1402.0279)
[email protected] , IHP, 12 fvrier2014 The 2-D
photoacoustic transmission-matrix approach The photoacoustic
transmission-matrix contains information on multiple random
illumination : equivalent to several speckle illumination Submitted
(arXiv:1402.0279)
[email protected] , IHP, 12 fvrier2014 43 Standard PA
image Modulation map PA image when displaying focusing pattern on
SLM The transmission matrix allows Identifying the targets The 2-D
photoacoustic transmission-matrix approach Submitted
(arXiv:1402.0279)
[email protected] , IHP, 12 fvrier2014 Increase high
resolution SLM Decrease small absorbers high frequency transducer
Fast instrumentation and measurements grainsspeckle pixelsSLM N N
pixelsSLMN grainsspeckleN 45 Challenges Solutions Small speckle
grains 1 m Low enhancement Decorrelation of the sample Challenges
with deep-tissue experiments
[email protected] , IHP, 12 fvrier2014 Acknowledgements
O. SimandouxA. Prost F. Poisson F. Mzire T. Chaigne Dr. J. Gteau
Dr. O. Katz Pr. S. Gigan Funding ESPCI ParisTech, CNRS INCA Grant
Gold Fever PEPS PSL-CNRS Fondation Pierre-Gilles de Gennes Dr. M.
Varna
