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Towards assessment of histopathology correlation with multiple imaging modalities: A pilot study using a visible mouse

Lookup NU author(s): Dr Anando SenORCiD


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Histopathology is the accepted gold standard for identifying cancerous tissues. Validation of in vivo imaging signals with precisely correlated histopathology can potentially improve the delineation of tumors in medical images for focal therapy planning, guidance, and assessment. Registration of histopathology with other imaging modalities is challenging due to soft tissue deformations that occur between imaging and histological processing of tissue. In this paper, a framework for precise registration of medical images and pathology using white-light images (photographs) is presented. A euthanized normal mouse was imaged using four imaging modalities: CBCT, PET-CT, MRI and micro CT. The mouse was then fixed in an embedding medium, optical cutting temperature (OCT) compound, with co-registration markers and sliced at 50 m intervals in a cryostatmicrotome. The device automatically photographed each slice with a mounted camera and reconstructed the 3D white-light image of the mouse through co-registering of consecutive slices. The white-light image was registered to the four imaging modalities based on the external contours of the mouse. Six organs (brain, liver, stomach, pancreas, kidneys and bladder) were contoured on the MR image while the skeletal structure and lungs were segmented on the CBCT image. The contours of these structures were propagated to the additional imaging modalities based on the registrations to the white-light image and were analyzed qualitatively by developing an anatomical atlas of normal mouse defined using three imaging modalities. This work will serve as the foundation to include histopathology through the transfer of the imaged slice onto tape for histological processing.

Publication metadata

Author(s): Sen A, Kingsley CV, de la Cerda J, Schuler FW, Mohamed ASR, Pagel MD, Brock KK

Editor(s): Andrzej Krol, Barjor S. Gimi

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging

Year of Conference: 2020

Pages: 113172B

Online publication date: 17/03/2020

Acceptance date: 02/04/2018

ISSN: 1605-7422

Publisher: SPIE


DOI: 10.1117/12.2552150

Library holdings: Search Newcastle University Library for this item

Series Title: Proceedings of SPIE

ISBN: 9781510634015