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Proceedings Paper

Deformable medical image registration of pleural cavity for photodynamic therapy by using finite-element based method
Author(s): Rozhin Penjweini; Michele M. Kim; Andrea Dimofte; Jarod C. Finlay; Timothy C. Zhu
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Paper Abstract

When the pleural cavity is opened during the surgery portion of pleural photodynamic therapy (PDT) of malignant mesothelioma, the pleural volume will deform. This impacts the delivered dose when using highly conformal treatment techniques. To track the anatomical changes and contour the lung and chest cavity, an infrared camera–based navigation system (NDI) is used during PDT. In the same patient, a series of computed tomography (CT) scans of the lungs are also acquired before the surgery. The reconstructed three-dimensional contours from both NDI and CTs are imported into COMSOL Multiphysics software, where a finite element-based (FEM) deformable image registration is obtained. The CT contour is registered to the corresponding NDI contour by overlapping the center of masses and aligning their orientations. The NDI contour is considered as the reference contour, and the CT contour is used as the target one, which will be deformed. Deformed Geometry model is applied in COMSOL to obtain a deformed target contour. The distortion of the volume at X, Y and Z is mapped to illustrate the transformation of the target contour. The initial assessment shows that FEM-based image deformable registration can fuse images acquired by different modalities. It provides insights into the deformation of anatomical structures along X, Y and Z-axes. The deformed contour has good matches to the reference contour after the dynamic matching process. The resulting three-dimensional deformation map can be used to obtain the locations of other critical anatomic structures, e.g., heart, during surgery.

Paper Details

Date Published: 7 March 2016
PDF: 7 pages
Proc. SPIE 9701, Multimodal Biomedical Imaging XI, 970106 (7 March 2016); doi: 10.1117/12.2211110
Show Author Affiliations
Rozhin Penjweini, Univ. of Pennsylvania (United States)
Michele M. Kim, Univ. of Pennsylvania (United States)
Andrea Dimofte, Univ. of Pennsylvania (United States)
Jarod C. Finlay, Univ. of Pennsylvania (United States)
Timothy C. Zhu, Univ. of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 9701:
Multimodal Biomedical Imaging XI
Fred S. Azar; Xavier Intes, Editor(s)

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