Quantification of extra-capsular prostate tissue from reconstructed tissue images

Currently there are little objective parameters that can quantify the success of one form of prostate surgical removal over another. Parameters such as the percent of coverage and depth of extra-capsular soft tissue removed with the prostate by the various surgical approaches can aid in quantifying prostate surgery success. Previously, we presented visualization methods as well as measurement algorithms to determine extra- capsular tissue coverage. In this paper, we present a modification to the coverage algorithm where we changed the way of mapping the reconstructed model as well as applying different neighborhood check approaches.

[1]  Jerry L. Prince,et al.  Reconstruction of the Central Layer of the Human Cerebral Cortex from MR Images , 1998, MICCAI.

[2]  Isabelle Fitton,et al.  Regional myocardial wall thickening of the left ventricle from segmentation of echocardiographic images , 2001, International Symposium on Multispectral Image Processing and Pattern Recognition.

[3]  Jianhua Xuan,et al.  Surface reconstruction and visualization of the surgical prostate model , 1997, Medical Imaging.

[4]  Bidyut Baran Chaudhuri,et al.  Automatic Prostate Cancer Grading System Based on 3-D Histo-Pathological Images , 1998, MVA.

[5]  Olivier Basset,et al.  Three-dimensional reconstruction of the prostate from transverse or sagittal ultrasonic images , 1993, Optics & Photonics.

[6]  Lawrence O. Hall,et al.  Quantitation of brain tumor in MRI for treatment planning , 1994, Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  S Holban,et al.  3D reconstruction of prostate from ultrasound images. , 1997, International journal of medical informatics.

[8]  Laurance D. Hall,et al.  Quantitation of articular cartilage dimensions by computer analysis of 3D MR images of human knee joints , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

[9]  Frederic D. McKenzie,et al.  Automating prostate capsule contour estimation for 3D model reconstruction using shape and histological features , 2004, Medical Imaging: Image-Guided Procedures.

[10]  Frederic D. McKenzie,et al.  Prostate gland and extra-capsular tissue 3D reconstruction and measurement , 2003, Third IEEE Symposium on Bioinformatics and Bioengineering, 2003. Proceedings..