Share Email Print

Proceedings Paper

Surface reconstruction and visualization of the surgical prostate model
Author(s): Jianhua Xuan; Isabell A. Sesterhenn; Wendelin S. Hayes; Yue Joseph Wang; Tulay Adali; Yukako Yagi; Matthew T. Freedman M.D.; Seong Ki Mun
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

An advanced image analysis and graphics software is developed to reconstruct and visualize previously images prostate specimens to define tumor volume and distribution and pathways of needle biopsies, thus allowing improved understanding of prostate cancer behavior and current diagnosis-staging methodology. In order to reconstruct an accurate surface model of the surgical prostate, contour interpolation and surface reconstruction are performed on extracted contours of the object of interest. Contour interpolation increases the sample rate in the stacking direction in order to reconstruct sufficiently accurate surfaces of the prostate and its internal anatomical structures. An elastic contour model is developed through computing a force field between adjacent slices to deform the start contour gradually to conform to the target contour. A new finite-element deformable surface-spine model is then developed to reconstruct the computerized prostate model from the interpolated contours. A deformable spine of the prostate model is determined from its contours, and all the surface patches are contracted to the spine through expansion/compression forces radiating form the spine while the spine itself is also confined to the surface. The surface refinement is governed by a second-order partial differential equation from Lagrangian mechanics, and the refining process is accomplished when the energy of this dynamic deformable surface-spine model reaches its minimum. Interactive visualization is achieved by using the state-of- the-art 3D graphics toolkit, OpenInventor, with graphical user interface to visualize the reconstructed 3D prostate model including all internal anatomical structures and their relationships. Finally, an image-guided prostate needle biopsy simulation is implemented to validate current biopsy strategies on tumor detection and tumor volume estimation to improve prostate needle biopsy techniques.

Paper Details

Date Published: 7 May 1997
PDF: 12 pages
Proc. SPIE 3031, Medical Imaging 1997: Image Display, (7 May 1997); doi: 10.1117/12.273939
Show Author Affiliations
Jianhua Xuan, Georgetown Univ. Medical Ctr. and Univ. of Maryland/Baltimore County (United States)
Isabell A. Sesterhenn, Armed Forces Institute of Pathology (United States)
Wendelin S. Hayes, Georgetown Univ. Medical Ctr. (United States)
Yue Joseph Wang, Catholic Univ. of America and Georgetown Univ. Medical Ctr. (United States)
Tulay Adali, Univ. of Maryland/Baltimore County (United States)
Yukako Yagi, Georgetown Univ. Medical Ctr. (United States)
Matthew T. Freedman M.D., Georgetown Univ. Medical Ctr. (United States)
Seong Ki Mun, Georgetown Univ. Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 3031:
Medical Imaging 1997: Image Display
Yongmin Kim, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?