Paper Info
Title
Application Of Statistical Cancer Atlas For 3d Biopsy
Abstract
Prostate cancer is the most commonly diagnosed cancer in males in the United States and the second leading cause of cancer death. While the exact cause is still under investigation, researchers agree on certain risk factors like age, family history, dietary habits, lifestyle and race. It is also widely accepted that cancer distribution within the prostate is inhomogeneous, i.e. certain regions have a higher likelihood of developing cancer. In this regard extensive work has been done to study the distribution of cancer in order to perform biopsy more effectively. Recently a statistical cancer atlas of the prostate was demonstrated along with an optimal biopsy scheme achieving a high detection rate.In this paper we discuss the complete construction and application of such an atlas that can be used in a clinical setting to effectively target high cancer zones during biopsy. The method consists of integrating intensity statistics in the form of cancer probabilities at every voxel in the image with shape statistics of the prostate in order to quickly warp the atlas onto a subject ultrasound image. While the atlas surface can be registered to a pre-segmented subject prostate surface or instead used to perform segmentation of the capsule via optimization of shape parameters to segment the subject image, the strength of our approach lies in the fast mapping of cancer statistics onto the subject using shape statistics. The shape model was trained from over 38 expert segmented prostate surfaces and the atlas registration accuracy was found to be high suggesting the use of this method to perform biopsy in near real time situations with some optimization.
Year
DOI
Venue
2008
10.1117/12.766633
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS VI
Keywords
Field
DocType
prostate, registration, atlas, shape, cancer
Voxel,Pattern recognition,Segmentation,Computer science,Image processing,Biopsy,Atlas (anatomy),Prostate cancer,Prostate,Artificial intelligence,Cancer
Conference
Volume
ISSN
Citations 
6812
0277-786X
0
PageRank 
References 
Authors
0.34
8
8
Name
Order
Citations
PageRank
ramakrishnan narayanan112.40
Dinggang Shen27837611.27
Christos Davatzikos33865335.91
David E. Crawford401.35
Albaha Barqawi512.06
P. N. Werahera6224.85
Dinesh Kumar724745.04
Jasjit S. Suri81754128.89