Lung tumor 3D reconstruction from planar CT scans and registration to micro and macroscopic pathology imaging

Gabriel Reines March, Craig Dick, Stephen Harrow, Xiangyang Ju, Stephen Marshall

Research output: Contribution to conferencePoster

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.

Conference

Conference40th International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC 2018
CountryUnited States
CityHonolulu, Hawaii
Period17/07/1821/07/18
Internet address

Fingerprint

pathology
Tumor Burden
lungs
tumors
Pathology
Lung
Neoplasms

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.
Reines March, Gabriel ; Dick, Craig ; Harrow, Stephen ; Ju, Xiangyang ; Marshall, Stephen. / 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.1 p.
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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' 40th International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, Hawaii, United States, 17/07/18 - 21/07/18, .

Lung tumor 3D reconstruction from planar CT scans and registration to micro and macroscopic pathology imaging. / Reines March, Gabriel; Dick, Craig; Harrow, Stephen; Ju, Xiangyang; Marshall, Stephen.

2018. Poster session presented at 40th International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, Hawaii, United States.

Research output: Contribution to conferencePoster

TY - CONF

T1 - Lung tumor 3D reconstruction from planar CT scans and registration to micro and macroscopic pathology imaging

AU - Reines March, Gabriel

AU - Dick, Craig

AU - Harrow, Stephen

AU - Ju, Xiangyang

AU - Marshall, Stephen

PY - 2018/7/25

Y1 - 2018/7/25

N2 - 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.

AB - 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.

KW - deformable image registration

KW - multimodal image fusion

KW - CT imaging

M3 - Poster

ER -

Reines March G, Dick C, Harrow S, Ju X, Marshall S. Lung tumor 3D reconstruction from planar CT scans and registration to micro and macroscopic pathology imaging. 2018. Poster session presented at 40th International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, Hawaii, United States.