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Drew A Torigian, MD, MA, FSAR, FACR

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Professor of Radiology at the Hospital of the University of Pennsylvania
Active Staff, Department of Radiology, Presbyterian Medical Center
Active Staff, Department of Radiology, Pennsylvania Hospital
Attending Staff, Department of Radiology, Hospital of the University of Pennsylvania
Clinical Director, Medical Image Processing Group (MIPG), Department of Radiology, University of Pennsylvania Medical Center
Department: Radiology

Contact information
Department of Radiology
Hospital of the University of Pennsylvania
3400 Spruce Street
Philadelphia, PA 19104
Office: 215-615-3805
Fax: 215-614-0033
BA (Chemistry)
Johns Hopkins University, 1991.
BA (Mathematics)
Johns Hopkins University, 1991.
MA (Mathematics)
Johns Hopkins University, 1991.
MD (Medicine)
New York University School of Medicine, 1996.
Post-Graduate Training
Internship in Internal Medicine, New York University Medical Center, 1996-1997.
Residency in Diagnostic Radiology, Hospital of the University of Pennsylvania, 1997-2001.
Fellowship, Body and Musculoskeletal MRI, Hospital of the University of Pennsylvania, 2001-2003.
Business Essentials Certificate Program, Wharton Programs for Working Professionals (WPWP), The Wharton School, University of Pennsylvania , 2004-2007.
Basic Cardiac Life Support Certification. 1995-2009., 1995.
Advanced Cardiac Life Support Certification. 1996-1998., 1996.
American Board of Radiology Certification (lifetime), 2001.
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> Perelman School of Medicine   > Faculty   > Details

Description of Research Expertise

oncologic imaging (lung cancer, melanoma, lymphoma, GI, GU, and gyn cancers)
inflammation imaging
aging imaging
translational research imaging
thoracoabdominopelvic imaging
CT imaging
MR imaging
PET, PET/CT, and PET/MR imaging
functional and molecular imaging
quantitative imaging/image analysis
all types of imaging response assessment on CT, MRI, and PET

Description of Clinical Expertise

thoracic imaging (plain film radiography, CT, MRI, PET, and PET/CT)
body CT imaging
body MR imaging
PET and PET/CT imaging
oncologic imaging
vascular imaging (CT and MR)

Selected Publications

Liu T, Udupa JK, Miao Q, Tong Y, Torigian DA.: Quantification of body-torso-wide tissue composition on low-dose CT images via Automatic Anatomy Recognition. Med Phys 46(3): 1272-1285, 2019.

Tong Y, Udupa JK, Torigian DA.: Super-mask-based object localization for auto-contouring in head and neck radiation therapy planning. Proc SPIE 10951: 109512L-1-109512L-7, 2019 Notes: conference proceedings.

Katz SI, Ramchandani P, Torigian DA, Siegelman ES.: MRI of hydrosalpinx in patients with hysterectomy without salpingo-oophorectomy. Clin Imaging 55: 95-99, 2019.

Wu X, Udupa JK, Tong Y, Odhner D, Pednekar GV, Simone CB 2nd, McLaughlin D, Apinorasethkul C, Apinorasethkul O, Lukens J, Mihailidis D, Shammo G, James P, Tiwari A, Wojtowicz L, Camaratta J, Torigian DA.: AAR-RT – A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases. Med Image Anal 54: 45-62, 2019.

Jahangiri P, Pournazari K, Torigian DA, Swisher-McClure S, Simone CB II, Alavi A.: A prospective study of the feasibility of FDG-PET/CT imaging to quantify radiation-induced lung inflammation in locally advanced non-small cell lung cancer patients receiving proton or photon radiotherapy. Eur J Nucl Med Mol Imaging 46(1): 206-216, 2019.

Tong Y, Udupa JK, Odhner D, Wu C, Schuster SJ, Torigian DA.: Disease quantification on PET/CT images without explicit object delineation. Med Image Anal 51: 169-183, 2019.

Sun C, Udupa JK, Tong Y, Wu C, Guo S, Torigian DA, Campbell RM.: A machine learning algorithm for detecting abnormal respiratory cycles in thoracic dynamic MR image acquisitions. Proc SPIE 10948: 109484E-1-109484E-6, 2019 Notes: conference proceedings.

Sun C, Udupa JK, Tong Y, Wu C, Guo S, McDonough JM, Torigian DA, Campbell RM.: Auto-labeling of respiratory time points in free-breathing thoracic dynamic MR image acquisitions for 4D image construction. Proc SPIE 10953: 109531B-1-109531B-7, 2019 Notes: conference proceedings.

Jin Z, Udupa JK, Torigian DA.: Obtaining the potential number of models/atlases needed for capturing anatomic variations in population images. Proc SPIE 10949: 109493G-1-109493G-8, 2019 Notes: conference proceedings.

Bai P, Udupa JK, Tong Y, Xie S, Torigian DA.: Body region localization in whole-body PET/CT scans using virtual landmarks. Med Phys 46(3): 1286-1299, 2019.

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Last updated: 05/08/2019
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