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.

    Author(s):Reines March, Gabriel ORCID logoORCID: https://orcid.org/0000-0003-0761-0592, Dick, Craig, Harrow, Stephen, Ju, Xiangyang and Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628
    Item type:Conference or Workshop Item(Poster)
    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:11 Jan 2020 05:46
    URI:https://strathprints.strath.ac.uk/id/eprint/69231
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