TY - GEN
T1 - A statistical atlas of prostate cancer for optimal biopsy
AU - Shen, Dinggang
AU - Lao, Zhiqiang
AU - Zeng, Jianchao
AU - Herskovits, Edward H.
AU - Fichtinger, Gabor
AU - Davatzikos, Christos
PY - 2001/1/1
Y1 - 2001/1/1
N2 - This paper presents a methodology of creating a statistical atlas of spatial distribution of prostate cancer from a large patient cohort, and uses it for designing optimal needle biopsy strategies. In order to remove inter-individual morphological variability and determine the true variability in cancer position, an adaptive-focus deformable model (AFDM) is used to register and normalize prostate samples. Moreover, a probabilistic method is developed for designing optimal biopsy strategies that determine the locations and the number of needles by optimizing cancer detection probability. Various experiments demonstrate the performance of AFDM in registering prostate samples for construction of the statistical atlas, and also validate the predictive power of our atlas-based optimal biopsy strategies in detecting prostate cancer.
AB - This paper presents a methodology of creating a statistical atlas of spatial distribution of prostate cancer from a large patient cohort, and uses it for designing optimal needle biopsy strategies. In order to remove inter-individual morphological variability and determine the true variability in cancer position, an adaptive-focus deformable model (AFDM) is used to register and normalize prostate samples. Moreover, a probabilistic method is developed for designing optimal biopsy strategies that determine the locations and the number of needles by optimizing cancer detection probability. Various experiments demonstrate the performance of AFDM in registering prostate samples for construction of the statistical atlas, and also validate the predictive power of our atlas-based optimal biopsy strategies in detecting prostate cancer.
UR - http://www.scopus.com/inward/record.url?scp=84958184756&partnerID=8YFLogxK
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U2 - 10.1007/3-540-45468-3_50
DO - 10.1007/3-540-45468-3_50
M3 - Conference contribution
AN - SCOPUS:84958184756
SN - 3540426973
SN - 9783540454687
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 416
EP - 424
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings
A2 - Niessen, Wiro J.
A2 - Viergever, Max A.
PB - Springer Verlag
T2 - 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001
Y2 - 14 October 2001 through 17 October 2001
ER -