@inproceedings{2dcd2631375b47099876e8bbc9f6c835,
title = "Deformable registration of histological cancer margins to gross hyperspectral images using demons",
abstract = "Hyperspectral imaging (HSI), a non-contact optical imaging technique, has been recently used along with machine learning technique to provide diagnostic information about ex-vivo surgical specimens for optical biopsy. The computer-Aided diagnostic approach requires accurate ground truths for both training and validation. This study details a processing pipeline for registering the cancer-normal margin from a digitized histological image to the gross-level HSI of a tissue specimen. Our work incorporates an initial affine and control-point registration followed by a deformable Demons-based registration of the moving mask obtained from the histological image to the fixed mask made from the HS image. To assess registration quality, Dice similarity coefficient (DSC) measures the image overlap, visual inspection is used to evaluate the margin, and average target registration error (TRE) of needle-bored holes measures the registration error between the histologic and HSI images. Excised tissue samples from seventeen patients, 11 head and neck squamous cell carcinoma (HNSCCa) and 6 thyroid carcinoma, were registered according to the proposed method. Three registered specimens are illustrated in this paper, which demonstrate the efficacy of the registration workflow. Further work is required to apply the technique to more patient data and investigate the ability of this procedure to produce suitable gold standards for machine learning validation.",
keywords = "Demons registration, Digital histology, Head and neck cancer surgery, Hyperspectral imaging",
author = "Martin Halicek and Little, {James V.} and Xu Wang and Chen, {Zhuo Georgia} and Mihir Patel and Griffith, {Christopher C.} and El-Deiry, {Mark W.} and Saba, {Nabil F.} and Chen, {Amy Y.} and Baowei Fei",
note = "Funding Information: This research is supported in part by NIH grants CA176684, CA156775 and CA204254, Georgia Cancer Coalition Distinguished Clinicians and Scientists Award, and the Developmental Funds from the Winship Cancer Institute of Emory University under award number P30CA138292. The authors would like to thank the surgical pathology Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Medical Imaging 2018: Digital Pathology ; Conference date: 11-02-2018 Through 12-02-2018",
year = "2018",
doi = "10.1117/12.2293165",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Gurcan, {Metin N.} and Tomaszewski, {John E.}",
booktitle = "Medical Imaging 2018",
}