ArticleJournal of biomedical optics2019
Method for coregistration of optical measurements of breast tissue with histopathology: the importance of accounting for tissue deformations.
Article in Journal of biomedical optics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Machine learning-guided bioelectrical impedance mapping for rapid adjunctive margin assessment in Mohs surgery.npj biomedical innovations · 2026Article
- Effective transfer of tumor annotations from hematoxylin and eosin to fluorescence images of breast and lung tissues.Journal of biomedical optics · 2026Article
- Method for co-registration of high-resolution specimen PET-CT with histopathology to improve insight into radiotracer distributions.EJNMMI physics · 2024Article
- Deformable multi-modal image registration for the correlation between optical measurements and histology images.Journal of biomedical optics · 2024Article
- Point Projection Mapping System for Tracking, Registering, Labeling, and Validating Optical Tissue Measurements.Journal of imaging · 2024Article
- Discriminating healthy from tumor tissue in breast lumpectomy specimens using deep learning-based hyperspectral imaging.Biomedical optics express · 2022Article
- Explainable liver tumor delineation in surgical specimens using hyperspectral imaging and deep learning.Biomedical optics express · 2021Article
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Authors and funding
7 authors.
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Abstract
For the validation of optical diagnostic technologies, experimental results need to be benchmarked against the gold standard. Currently, the gold standard for tissue characterization is assessment of hematoxylin and eosin (H&E)-stained sections by a pathologist. When processing tissue into H&E sections, the shape of the tissue deforms with respect to the initial shape when it was optically measured. We demonstrate the importance of accounting for these tissue deformations when correlating optical measurement with routinely acquired histopathology. We propose a method to register the tissue in the H&E sections to the optical measurements, which corrects for these tissue deformations. We compare the registered H&E sections to H&E sections that were registered with an algorithm that does not account for tissue deformations by evaluating both the shape and the composition of the tissue and using microcomputer tomography data as an independent measure. The proposed method, which did account for tissue deformations, was more accurate than the method that did not account for tissue deformations. These results emphasize the need for a registration method that accounts for tissue deformations, such as the method presented in this study, which can aid in validating optical techniques for clinical use.
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