Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function

Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function

Current measures for assessing the viability of donor kidneys are lacking. Optical coherence tomography (OCT) can image subsurface tissue morphology to supplement current measures and potentially improve prediction of post-transplant function. OCT imaging was performed on donor kidneys before and im...

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Bibliographic Details
Main Authors: Konkel, Brandon (Author), Lavin, Christopher (Author), Wu, Tong Tong (Author), Anderson, Erik (Author), Iwamoto, Aya (Author), Rashid, Hadi (Author), Gaitian, Brandon (Author), Boone, Joseph (Author), Cooper, Matthew (Author), Abrams, Peter (Author), Gilbert, Alexander (Author), Tang, Qinggong (Author), Levi, Moshe (Author), Fujimoto, James G (Author), Andrews, Peter (Author), Chen, Yu (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Research Laboratory of Electronics (Contributor)
Format: Article
Language:English
Published: Optical Society of America, 2019-06-27T19:10:10Z.
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