Lung tumor 3D reconstruction from planar CT scans and registration to micro and macroscopic pathology imaging
Reines March, Gabriel and Dick, Craig and Harrow, Stephen and Ju, Xiangyang and Marshall, Stephen (2018) Lung tumor 3D reconstruction from planar CT scans and registration to micro and macroscopic pathology imaging. In: 40th International Conference of the IEEE Engineering in Medicine and Biology Society, 2018-07-17 - 2018-07-21.
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Abstract
The overall goal of this project is to ascertain whether a given PET radiotracer reliably and accurately identifies an active cancerous region within the gross tumour volume. The only means to assess it is to compare the PET signal with the gold standard of histopathology. To allow for this comparison both images need to be spatially aligned or registered. However, lung tissue undergoes several deformations following surgical resection and pathological processing. Therefore, these distortions need to be taken into account in order to obtain a truthful mapping. Moreover, PET signals are intrinsically 3D, whereas histopathology slices are planar images. In order to overcome this problem, 2D slices have to be stacked together to reconstruct the original volume prior to registration.
Creators(s): |
Reines March, Gabriel ![]() ![]() | Item type: | Conference or Workshop Item(Poster) |
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ID code: | 69231 |
Keywords: | deformable image registration, multimodal image fusion, CT imaging, Neoplasms. Tumors. Oncology (including Cancer), Physics, Oncology, Physics and Astronomy(all) |
Subjects: | Medicine > Internal medicine > Neoplasms. Tumors. Oncology (including Cancer) Science > Physics |
Department: | Faculty of Science > Physics Strategic Research Themes > Measurement Science and Enabling Technologies Faculty of Engineering > Electronic and Electrical Engineering |
Depositing user: | Pure Administrator |
Date deposited: | 07 Aug 2019 11:32 |
Last modified: | 07 Jan 2021 03:11 |
URI: | https://strathprints.strath.ac.uk/id/eprint/69231 |
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