@article {Zhan2007,
	title = {Targeted Prostate Biopsy Using Statistical Image Analysis},
	journal = {IEEE transactions on medical imaging},
	volume = {26},
	number = {6},
	year = {2007},
	month = {June},
	pages = {779{\textendash}788},
	doi = {10 1109/TMI 2006 891497},
	author = {Yiqiang Zhan and Dinggang Shen and Jianchao Zeng and Leon Sun and Gabor Fichtinger and Judd Moul and Christos Davatzikos}
}
@article {Shen2004,
	title = {Optimization of Biopsy Strategy by A Statistical Atlas of Prostate Cancer Distribution},
	journal = {Medical Image Analysis},
	volume = {8},
	year = {2004},
	pages = {139-150},
	author = {Dinggang Shen and Zhiqiang Lao and Jianchao Zeng and Wei Zhang and Isabel Sesterhenn and Leon Sun and Judd Moul and Edward Herskovits and Gabor Fichtinger and Christos Davatzikos}
}
@article {Shen2004a,
	title = {Optimized prostate biopsy via a statistical atlas of cancer spatial distribution},
	journal = {Medical image analysis},
	volume = {8},
	number = {2},
	year = {2004},
	month = {Jun},
	pages = {139{\textendash}150},
	abstract = {<p>A methodology is presented for constructing a statistical atlas of spatial distribution of prostate cancer from a large patient cohort, and it is used for optimizing needle biopsy An adaptive-focus deformable model is used for the spatial normalization, registration of 100 prostate histological samples, which were provided by the Center for Prostate Disease Research of the US Department of Defense, resulting in a statistical atlas of spatial distribution of prostate cancer Based on this atlas, a statistical predictive model was developed to optimize the needle biopsy sites, by maximizing the probability of detecting cancer Experimental results using cross-validation show that the proposed method can detect cancer with a 99\% success rate using seven needles, in these samples</p>
},
	keywords = {Algorithms, Biological, Biopsy, Cohort Studies, Computer Simulation, Computer-Assisted, Forecasting, Humans, Image Processing, Imaging, Male, Models, Needle, pathology, Probability, Prostate, Prostatic Neoplasms, Reproducibility of Results, Statistical, statistics /\&/ numerical data, Three-Dimensional},
	doi = {10 1016/j media 2003 11 002},
	url = {http://dx doi org/10 1016/j media 2003 11 002},
	author = {Dinggang Shen and Zhiqiang Lao and Jianchao Zeng and Wei Zhang and Isabel Sesterhenn and Leon Sun and Judd Moul and Edward Herskovits and Gabor Fichtinger and Christos Davatzikos}
}
