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Towards Better Digital Pathology Workflows: ! !
Programming libraries for high-speed sharpness assessment of
Whole Slide Images!
David Ameisen - [email protected]!
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Quality assessment in WSI: a key step towards systematic use
WSI scanners - FDA Class III Medical Devices :
13% of Whole Slide Images need to be scanned at least twice.
Campbell WS et al., Human Path, 2012; Concordance between
whole-slide imaging and light microscopy for routine surgical
pathology.
A posteriori visual quality verification is insufficient:
partial verification.
Automatic Quality Assurance tools are not adapted to high
dimensions (>109 pixels).
Our perspective:
Make WSI Quality Assessment tools fast enough for any
pathology
workflow.
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7 years of research in
WSIcollaborations
Quality Assurance?
Major problem:
Blur
Research
Teaching
Clinical
Manual / Visual
Non-systematic
Non-quantified
Towards a widespread use of WSI in pathology
Background
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State of the art
Current methods and limits of automated image quality
assurance
No Fast Blur Detection and Quantification Solution for Whole
Slide Images
Auto-focus
One shot
Comparison
Gold standard
No reference
Too slow
Z-stack
Too big
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Sharp; partially blurred; out of focus
Absolute
Blur/Sharpness Quantification
Highly scalable, multi-core, multi-node
Compatibility: Windows, Mac OSX, Linux
No gold standard required
A Fast Blur Detection and Quantification Solution for Whole
Slide Images
3 billion pixels analyzed per minute on a recent computer (10 to
100 times faster than other methods)
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6
Whole Slide Image checked at all magnifications
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20x : 1.7 Billion pixels
6589 tiles of 512x512px
24% relevant tiles (non-blank)
among which 25% are sharp
34 seconds on a 2012 laptop
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Video : real-time analysis
https://www.youtube.com/watch?v=eIunSx-a-ug
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5000 images analyzed in our lab
Internet survey:
100 images, 7500+ answers
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Correlation algorithm/user votes
Image classification into three groups:
Out of focus, Partially blurred, Sharp
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During WSI
digitization
Applications : Saving time, increasing the quality
Identification and reacquisition of blurred tiles during the
scan
Certification of the WSIs general image quality
Just after WSI
digitization
Reacquisition of the WSI with more suitable profiles
Notification sent to reacquire the WSI
Continuous Quality
Assusrance
Notification sent to recalibrate the WSI acquisition system
WSI quality scoring integrated in the files metadata
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C++ Library
Implementations
Scaling
Optimized, multi-core, multi-node
Highly scalable to match any throughput
APIs
C++
Java
Python
Embeddable in Whole Slide Image acquisition systems
Embeddable in Whole Slide Image management platforms
Embeddable in Whole Slide Image viewers
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Our references
Talk, 11th European Congress on Telepathology5th International
Congress on Virtual Microscopy
6-9 June 2012, Venice, Italy
Poster, Pathology Visions Conference,
October, 28-31, 2012, Baltimore, MA, USA.
Talk, 12th European Congress on Digital Pathology
18-21 June 2014, Paris, France
FlexMIm - Projet R&D - 4 989 K Fonds Unique Interministriel
n 14
2013-2015, Paris, France.
Talk, Pathology Visions Conference,
October, 20-21, 2014, San Francisco, CA, USA.
pre-seed funding
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Contact :
Laboratory : David Ameisen - [email protected] Idfinnov :
Robert Marino [email protected]
