4 March 2014 Volumetric mosaicing for optical coherence tomography for large area bladder wall visualization
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Proceedings Volume 8926, Photonic Therapeutics and Diagnostics X; 89261P (2014) https://doi.org/10.1117/12.2036325
Event: SPIE BiOS, 2014, San Francisco, California, United States
Abstract
Optical coherence tomography (OCT) has shown potential as a complementary imaging modality to white light cystoscopy (WLC) because it can visualize sub-surface details of the bladder wall, enabling it to stage early cancers and visualize tumors undetectable to WLC. However, the inherently small field of view (FOV) of OCT compared with the area of the bladder wall restricts its clinical utility. A large OCT FOV could improve surgical planning by enabling complete visualization of tumor margins or could aid in early cancer detection by tracking the appearance of the bladder wall over time. To overcome the limited FOV of OCT, we developed a method to create mosaics of OCT volume data using a modified version of the N-dimensional scale invariant feature transform (N-SIFT) algorithm: white-light-enhanced N-SIFT (WhiLE-NS). WhiLE-NS adds a pre-processing step to N-SIFT that uses white light images co-registered with OCT volumes to select small, highly overlapped volumes on which to run N-SIFT. This pre-processing step adds minimal computational time and enables a 200- fold decrease in the amount of time required to register two volumes compared with N-SIFT alone. Quantitatively, WhiLE-NS achieves nearly sub-pixel registration accuracy, and qualitatively, we demonstrate that the algorithm can generate large FOV mosaics of ex vivo bladder tissue. The realization of this algorithm is a critical step to enabling OCT to contribute meaningfully to bladder surveillance and surgical guidance.
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Kristen L. Lurie, Audrey K. Ellerbee, "Volumetric mosaicing for optical coherence tomography for large area bladder wall visualization", Proc. SPIE 8926, Photonic Therapeutics and Diagnostics X, 89261P (4 March 2014); doi: 10.1117/12.2036325; https://doi.org/10.1117/12.2036325
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