Paper Info
Title
Prostate cancer visualization from MR imagery and MR spectroscopy
Abstract
Prostate cancer is one of the most prevalent cancers among males, and the use of magnetic resonance imaging (MRI) has been suggested for its detection. A framework is presented for scoring and visualizing various MR data in an efficient and intuitive manner. A classification method is introduced where a cumulative score volume is created which takes into account each of three acquisition types. This score volume is integrated into a volume rendering framework which allows the user to view the prostate gland, the multi-modal score values, and the surrounding anatomy. A visibility persistence mode is introduced to automatically avoid full occlusion of a selected score and indicate overlaps. The use of GPU-accelerated multi-modal single-pass ray casting provides an interactive experience. User driven importance rendering allows the user to gain insight into the data and can assist in localization of the disease and treatment planning. We evaluate our results against pathology and radiologists' determinations.
Year
DOI
Venue
2011
10.1111/j.1467-8659.2011.01954.x
Comput. Graph. Forum
Keywords
Field
DocType
mr imagery,score volume,importance rendering,cumulative score volume,prostate cancer visualization,mr spectroscopy,volume rendering framework,multi-modal score value,prostate cancer,gpu-accelerated multi-modal,various mr data,prostate gland,selected score
Computer vision,Volume rendering,Visualization,Computer science,Ray casting,Artificial intelligence,Rendering (computer graphics),Image-based modeling and rendering,Scientific visualization,Computer graphics,Magnetic resonance imaging
Journal
Volume
Issue
ISSN
30
3
0167-7055
Citations 
PageRank 
References 
2
0.37
15
Authors
2
Name
Order
Citations
PageRank
Joseph Marino17011.35
Arie Kaufman24154453.50