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Download the 2011 Program Book - Traditional Poster ... - ismrm

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<strong>Poster</strong> Sessions<br />

Veterans General Hospital, Taichung, Taiwan; 4 Department of Biomedical Imaging & Radiological Science, China Medical<br />

University, Taichung, Taiwan<br />

2637. Novel Variable Voxel Intensity Correction Scheme and Application to Breast Imaging<br />

Anderson N. Nnewihe 1,2 , Kyung H. Sung 1 , Bruce L. Daniel 1 , Brian A. Hargreaves 1<br />

1 Radiology, Stanford University, Stanford, CA, United States; 2 Bioengineering, Stanford University, Stanford, CA, United States<br />

Analysis of Prostate Images<br />

Exhibition Hall Thursday 13:30-15:30<br />

2638. Prostate Cancer Probability Estimation Based on DCE-DTI Features & Support Vector Machine Classification<br />

Mehdi Moradi 1 , Septimiu E. Salcudean 1 , Silvia D. Chang 2 , Edward C. Jones 3 , S. Larry Goldenberg 4,5 , Piotr<br />

Kozlowski 2,6<br />

1 Electrical & Computer Engineering, University of British Columbia, Vancouver, BC, Canada; 2 Radiology, University of British<br />

Columbia; 3 Pathology & Laboratory Medicine, University of British Columbia; 4 Urologic Sciences, University of British Columbia;<br />

5 Vancouver Prostate Centre, University of British Columbia; 6 MRI Research Centre, University of British Columbia, Vancouver,<br />

Canada<br />

2639. Multifarious Kinetic Analysis for Differentiation of Prostate Cancer & Benign Prostatic Hyperplasia in DCE-<br />

MRI<br />

Sang Ho Lee 1 , Jong Hyo Kim 1,2 , Jeong Yeon Cho 2,3 , Sang Youn Kim 2,3 , in Chan Song 3 , Hyeon Jin Kim 3 , Seung Hyup<br />

Kim 2 , 3<br />

1 Interdisciplinary <strong>Program</strong> in Radiation Applied Life Science, Seoul National University College of Medicine, Seoul, Korea, Republic<br />

of; 2 Department of Radiology, Seoul National University College of Medicine, Seoul, Korea, Republic of; 3 Department of Radiology,<br />

Seoul National University Hospital, Seoul, Korea, Republic of<br />

2640. Computerized Quantitative Data Integration of Multi-Protocol MRI for Identification of High Grade Prostate<br />

Cancer In Vivo.<br />

Pallavi Tiwari 1 , John Kurhanewicz 2 , Anant Madabhushi 1<br />

1 Biomedical Engineering, Rutgers University, Piscataway, NJ, United States; 2 Department of Radiology & Biomedical Imaging,<br />

University of California, San Francisco, San Francisco, United States<br />

2641. Accuracy Enhancement of Automatic Prostate Tumor Detection using Additional Deformable Registration<br />

Based Atlas Information: Automated Classifier using Permeability Parameters.<br />

Namkug Kim 1 , JeongKon Kim 1<br />

1 Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea, Republic of<br />

2642. EMPrAvISE: A Computerized Decision Support System for Automated Prostate Cancer Detection from Multi-<br />

Protocol MRI<br />

Satish Viswanath 1 , B. Nicolas Bloch 2 , Jonathan Chappelow 1 , Pratik Patel 1 , Neil Rofsky 3 , Robert Lenkinski 4 , Elisabeth<br />

Genega 4 , Anant Madabhushi 1<br />

1 Biomedical Engineering, Rutgers University, Piscataway, NJ, United States; 2 Boston Medical Center; 3 UT Southwestern Medical<br />

Center; 4 Beth Israel Deaconess Medical Center<br />

2643. Accurate Prostate Volume Determination from T 2 -W MRI using Statistical Shape Models<br />

Robert James Toth 1 , B. Nicholas Bloch 2 , Elizabeth M. Genega 3 , Neil M. Rofsky 3 , Robert E. Lenkinski 3 , Mark A. Rosen 4 ,<br />

Anant Madabhushi 1<br />

1 Biomedical Engineering, Rutgers University, New Brunswick, NJ, United States; 2 Boston Medical Center, Bostom, MA, United<br />

States; 3 Beth Israel Deaconess Medical Center, Boston, MA, United States; 4 Hospital at <strong>the</strong> University of Pennsylvania, Philadelphia,<br />

PA, United States<br />

2644. Exploration of BOLD-MRI in Prostate Cancer using Principal Component Analysis<br />

Aravinthan Jega<strong>the</strong>esan 1 , Michael D. Noseworthy 1,2 , Colm Boylan 3 , Robert Shayegan 4 , John F. MacGregor 5<br />

1 School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada; 2 Electrical & Computer Engineering,<br />

McMaster University, Hamilton, Ontario, Canada; 3 St. Joseph's Healthcare, Hamilton, Ontario, Canada; 4 Dept. of Urology, St.<br />

Joseph's Healthcare, Hamilton, Ontario, Canada; 5 Chemical Engineering, McMaster University, Hamilton, Ontario, Canada<br />

2645. Determining Histology-MRI Slice Correspondences for Mapping Prostate Cancer Extent In Vivo<br />

Gaoyu Xiao 1 , B. Nicolas Bloch 2 , Jonathan Chappelow 1 , Elizabeth Genega 3 , Neil Rofsky 3 , Robert Lenkinski 3 , John<br />

Tomaszewski 4 , Michael Feldman 4 , Mark Rosen 4 , Arjun Kalyanpur 5 , Anant Madabhushi 1<br />

1 Rutgers University, Piscataway, NJ, United States; 2 Boston Medical Center, MA, USA; 3 Beth Israel Deaconess Medical Center, MA,<br />

USA; 4 University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, USA.; 5 Teleradiology Solutions Pvt. Ltd. Whitefield,<br />

Bangalore, 560048, India<br />

283

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