TY - GEN
T1 - A parallel cellular automata with label priors for interactive brain tumor segmentation
AU - Kim, Edward
AU - Shen, Tian
AU - Huang, Xiaolei
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - We present a novel method for 3D brain tumor volume segmentation based on a parallel cellular automata framework. Our method incorporates prior label knowledge gathered from user seed information to influence the cellular automata decision rules. Our proposed method is able to segment brain tumor volumes quickly and accurately using any number of label classifications. Exploiting the inherent parallelism of our algorithm, we adopt this method to the Graphics Processing Unit (GPU). Additionally, we introduce the concept of individual label strength maps to visualize the improvements of our method. As we demonstrate in our quantitative and qualitative results, the key benefits of our system are accuracy, robustness to complex structures, and speed. We compute segmentations nearly 45 faster than conventional CPU methods, enabling user feedback at interactive rates.
AB - We present a novel method for 3D brain tumor volume segmentation based on a parallel cellular automata framework. Our method incorporates prior label knowledge gathered from user seed information to influence the cellular automata decision rules. Our proposed method is able to segment brain tumor volumes quickly and accurately using any number of label classifications. Exploiting the inherent parallelism of our algorithm, we adopt this method to the Graphics Processing Unit (GPU). Additionally, we introduce the concept of individual label strength maps to visualize the improvements of our method. As we demonstrate in our quantitative and qualitative results, the key benefits of our system are accuracy, robustness to complex structures, and speed. We compute segmentations nearly 45 faster than conventional CPU methods, enabling user feedback at interactive rates.
UR - http://www.scopus.com/inward/record.url?scp=80055088217&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80055088217&partnerID=8YFLogxK
U2 - 10.1109/CBMS.2010.6042647
DO - 10.1109/CBMS.2010.6042647
M3 - Conference contribution
AN - SCOPUS:80055088217
SN - 9781424491667
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 232
EP - 237
BT - Proceedings of the 23rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2010
T2 - 23rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2010
Y2 - 12 October 2010 through 15 October 2010
ER -