Title :
Longitudinal Characterization of Breast Morphology during Reconstructive Surgery
Author :
Lijuan Zhao ; Shah, Shalin ; Merchant, Farhad
Author_Institution :
Dept. of Comput. Sci., Univ. of Houston, Houston, TX, USA
Abstract :
Quantitative analysis of breast morphology facilitates pre-operative planning and post-operative outcome assessments in breast reconstruction. Our project is developing algorithms to quantify changes in local breast morphology occurring over time. The project encompasses three topics: (1) Three-dimensional (3D) images registration, (2) Breast contour detection, and (3) Quantitative analysis of local breast morphology changes. We developed a semi-automated 3D image registration algorithm. We have also developed an approach to directly compute breast contour on 3D images. In the future, we will improve existing and develop additional algorithms to fulfill our project goals.
Keywords :
cancer; image reconstruction; image registration; medical image processing; object detection; surgery; breast contour detection; breast morphology; breast reconstruction; longitudinal characterization; post-operative outcome assessment; preoperative planning; quantitative analysis; reconstructive surgery; semiautomated 3D image registration; three-dimensional image registration; Algorithm design and analysis; Breast; Image reconstruction; Iterative closest point algorithm; Morphology; Statistical analysis; Three-dimensional displays; 3D breast contour detection; 3D image; 3D rigid registration; breast morphology; breast reconstruction;
Conference_Titel :
Multimedia (ISM), 2013 IEEE International Symposium on
Conference_Location :
Anaheim, CA
Print_ISBN :
978-0-7695-5140-1
DOI :
10.1109/ISM.2013.79