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.
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.
| Original language | English |
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| Number of pages | 1 |
| Publication status | Published - 25 Jul 2018 |
| Event | 40th International Conference of the IEEE Engineering in Medicine and Biology Society - Honolulu, Hawaii, United States Duration: 17 Jul 2018 → 21 Jul 2018 https://embc.embs.org/2018/ |
Conference
| Conference | 40th International Conference of the IEEE Engineering in Medicine and Biology Society |
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| Abbreviated title | EMBC 2018 |
| Country | United States |
| City | Honolulu, Hawaii |
| Period | 17/07/18 → 21/07/18 |
| Internet address |
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Keywords
- deformable image registration
- multimodal image fusion
- CT imaging
Cite this
Reines March, G., Dick, C., Harrow, S., Ju, X., & Marshall, S. (2018). Lung tumor 3D reconstruction from planar CT scans and registration to micro and macroscopic pathology imaging. Poster session presented at 40th International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, Hawaii, United States.