BIOGRAPHICAL SKETCH Provide the following information for the key personnel and other significant contributors. Follow this format for each person. DO NOT EXCEED FOUR PAGES.

NAME POSITION TITLE Welch, E. Brian Assistant Professor of Radiology and Radiological eRA COMMONS USER NAME Sciences welcheb EDUCATION/TRAINING (Begin with baccalaureate or other initial professional education, such as nursing, and include postdoctoral training.) DEGREE INSTITUTION AND LOCATION YEAR(s) FIELD OF STUDY (if applicable) University of Southern 1998 Biomedical-Electrical Engineering Los Angeles, California B.S.

Mayo Clinic College of Medicine Biomedical Engineering Ph.D. 2003 Rochester, Minnesota (Medical Imaging) Mayo Clinic Special Purpose Biomedical and Electrical Engineering Processor Development Group Postdoctoral 2004 (Wireless Medical Device Design) Rochester, Minnesota Technological University Business Administration M.B.A. 2010 Cookeville, Tennessee (Management of Information Systems)

A. Personal Statement Dr. Brian Welch is an expert in methods and software development for the MRI environment. His previous and ongoing work focuses on overcoming the real world limitations of magnetic resonance imaging (MRI) that hinder research and clinical applications of MRI. Strategies to overcome these challenges include hardware and software solutions, alternative data acquisition and reconstruction methods, novel MRI pulse sequences, quantitative imaging methods and associated post-processing tools. Dr. Welch possess a unique set of knowledge about the abilities and limitations of the 3T and 7T human scanners housed at the Institute of Imaging Science based on more than 12 years experience in MRI and 5 years of work experience as the on-site Philips Healthcare MR clinical scientist supporting research projects at Vanderbilt University. Dr. Welch is now focused on applying that experience and knowledge to his own independent research programs as a Vanderbilt faculty member.

B. Positions and Honors

Positions and Employment 1995-98 Teaching Assistant, University of Southern California Introduction to C Programming 2000-02 Teaching Assistant, Mayo Clinic College of Medicine MRI Basic Principles, MRI Advanced Topics, Digital Signal Processing 2003-04 Research Fellow, Special Purpose Processor Development Group, Mayo Clinic Foundation 2004-10 MR Clinical Scientist, Philips Medical Systems On-site Philips MR Clinical Scientist, Vanderbilt University 2010-present Assistant Professor, Vanderbilt University Vanderbilt University Institute of Imaging Science 2010-present Scientific Manager, Human Imaging Core Vanderbilt University Institute of Imaging Science

Other Experience and Professional Memberships 1994-2011 Member, Institute of Electrical and Electronics Engineers (IEEE) 2000-03, 10-11 Member, International Society for Magnetic Resonance in Medicine (ISMRM) 2000-03, 10-11 Member, American Association of Physicists in Medicine (AAPM) 1998, 00-04, 11 Member, International Society for Optical Engineering (SPIE)

Honors 1994 Valedictorian, Hume Fogg Academic Magnet High School, Nashville, TN 1994-98 Trustee Scholarship (full tuition), University of Southern California 1994 National Merit Scholarship, National Merit Scholarship Corp., Evanston, IL 1996 Space Life Sciences Training Program, NASA Kennedy Space Center 1997 Summer Undergraduate Research Fellowship, Mayo Clinic 1998 Salutatorian, All-University, University of Southern California 1998 Valedictorian, School of Engineering, University of Southern California 1998-2001 National Defense Science and Engineering Graduate Research Fellowship, Office of Naval Research 2005 Philips Management Award of Excellence for contributions to Vanderbilt

Teaching 2011 BME 277/377: Quantitative and Functional Imaging Vanderbilt University 2012 BME 258: Foundations of Medical Imaging Vanderbilt University

Service 2010-present Scientific Manager VUIIS Human Imaging CORE 2011-present Secretary ISMRM Motion Correction Study Group 2011-present Co-chair NIH Quantitative Imaging Network (QIN) Data Acquisition Working Group

C. Selected Peer-reviewed publications

Most relevant to the current application 1. Silver HJ, Niswender KD, Kullberg J, Berglund J, Johansson L, Bruvold M, Avison MJ, Welch EB. Comparison of Gross Body Fat-Water Magnetic Resonance Imaging at 3 Tesla to Dual-Energy X-Ray Absorptiometry in Obese Women. Obesity Jun 15 2012 [Epub ahead of print]. NIHMS: NIHMS383731 2. Silver HJ, Welch EB, Avison MJ, Niswender KD. Imaging body composition in obesity and weight loss: challenges and opportunities. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Vol. 3, 337–347, 2010. PMCID: PMC3047979 3. Arlinghaus LR, Li X, Rahman AR, Welch EB, Xu L, Gore JC, Yankeelov TE. On the relationship between the apparent diffusion coefficient and extravascular extracellular volume fraction in human breast cancer. Magnetic Resonance Imaging. 2011 June;29(5):630-8. PMCID: PMC3100356 4. Arlinghaus LR, Welch EB, Chakravarthy AB, Xu L, Farley JS, Abramson VG, Grau AM, Kelley MC, Mayer IA, Means-Powell JA, Meszoely IM, Gore JC, Yankeelov TE. Motion correction in diffusion-weighted MRI of the breast at 3T. Journal of Magnetic Resonance Imaging. 2011 May;33(5):1063-70. PMCID: PMC3081111 5. Waddell KW, Zanjanipour P, Pradhan S, Xu L, Welch EB, Joers JM, Martin PR, Avison MJ, Gore JC. Anterior cingulate and cerebellar GABA and Glu correlations measured by (1)H J-difference spectroscopy. Magnetic Resonance Imaging, Vol. 29(1), 19-24, 2011. PMCID: PMC3005886

Additional recent publications of importance to the field (in chronological order) 1. Manduca A, McGee KP, Welch EB, Felmlee KP, Grimm RC, Ehman RL. Autocorrection in MRI: Adaptive motion correction without navigator echoes. Radiology, Vol. 215, 904-909, 2000. 2. Welch EB, Manduca A, Grimm RC, Ward HA, Jack CR Jr. Spherical navigator echoes for full 3-D rigid body motion measurement in MRI. Magnetic Resonance in Medicine, Vol. 47, 32-41, 2002. 3. Welch EB, Felmlee JP, Ehman RL, Manduca A. Motion correction using the k-space phase difference of orthogonal acquisitions. Magnetic Resonance in Medicine, Vol. 48, 147-156, 2002. 4. Welch EB, Rossman PJ, Felmlee JP, Manduca A. Self-navigated motion correction using moments of spatial projections in radial MRI. Magnetic Resonance in Medicine, Vol. 52, 337-345, 2004. 5. Welch EB, Manduca A, Grimm RC, Jack CR Jr. Interscan registration using navigator echoes. Magnetic Resonance in Medicine, Vol. 52, 1448-52, 2004. 6. Thomas BP, Welch EB, Niederhauser BD, Whetsell WO, Anderson AW, Gore JC, Avison MJ, Creasy JL. High-resolution 7T MRI of the human hippocampus in vivo. Journal of Magnetic Resonance Imaging, Vol. 28, 1266-1272, 2008. PMCID: PMC2669832 7. Jankiewicz M, Zeng H, Moore JE, Anderson AW, Avison MJ, Welch EB, Gore JC. Practical considerations for the design of sparse-spokes pulses, Journal of Magnetic Resonance, Vol. 203(2), 294-304, 2010. PMCID: PMC2853049 8. Sengupta S, Welch EB, Zhao Y, Foxall D, Starewicz P, Anderson AW, Gore JC, Avison MJ. Dynamic B0 shimming at 7T. Magnetic Resonance Imaging. 2011 May;29(4):483-76. PMCID: PMC3078963 9. Sengupta S, Avison MJ, Gore JC, Welch EB. Software compensation of Eddy current fields in multislice high order dynamic shimming. Journal of Magnetic Resonance. 2011 June;210(2):218-27. PMCID: PMC3098125 10. Smith DS, Welch EB, Li X, Arlinghaus LR, Loveless ME, Koyama T, Gore JC, Yankeelov TE. Quantitative effects of using compressed sensing in dynamic contrast enhanced MRI. Physics in Medicine and Biology. 2011 Aug;56(15):4933-46.

D. Research Support

Ongoing Research Support 1R21DK096282-01 Welch (PI) 07/01/12-06/20/14 NIDDK Brown Adipose Tissue Quantification Using Magnetic Resonance Imaging Enhancing the volume or activity of brown adipose tissue (BAT) could impact the clinical management of obesity, but such studies will require a safe, non-invasive method for BAT quantification that can be applied repeatedly in a broad range of human subjects. The ability to identify and quantify BAT using MRI will have a positive impact on clinical endocrinology and the pursuit of new avenues of obesity research and treatment.

Pilot Funding Award Welch (PI) 01/01/12-12/31/12 Brown Adipose Tissue Quantification Using Magnetic Resonance Imaging A pharmacologically driven increase of BAT mass or activity could impact the clinical management of obesity, but such studies will require a safe, non-invasive method for BAT quantification that can be applied repeatedly in a broad range of human subjects. The ability to identify and quantify BAT using MRI will have a positive impact on clinical endocrinology and the pursuit of new avenues of obesity research and treatment. Role: Principal Investigator

1R01EB014308-01A1 Does (PI) 03/15/12-02/29/16 NIBIB Bone Fracture Risk Assessment Through Bound and Pore Water MRI Current methods for diagnostic imaging of bone are incomplete and do not fully predict the increase in fracture risk with age or advancement of disease (such as osteoporosis). Unlike current X-ray based imaging, MRI can probe soft-tissue characteristics of bone, which may be important in fracture resistance. The proposed research aims to develop and evaluate MRI methods that can predict bone fracture risk and provide more specific feedback on bone composition changes in response to therapy. Role: Co-Investigator

5U01CA142565-02 Yankeelov (PI) 05/01/10 – 04/30/15 NIH/NCI PET-MRI for Assessing Treatment Response in Breast Cancer Clinical Trials Develop integrated high field (3T) MRI and PET methods for assessing the effects of molecularly targeted anti- angiogenesis and cytoxic treatments in breast cancer clinical trials. A primary goal is to provide the breast cancer community with practical data acquisition and analysis protocols that facilitate the translation of advanced imaging technologies into patient management and clinical trials. Role: Co-Investigator

5R01AR050101-08 Damon (PI) 04/12/10 – 03/31/15 NIH/NIAMS Biophysical Basis of Muscle Functional MRI Develop an improved understanding of the physiological basis of MRI contrast in skeletal muscle, especially blood oxygenation-level dependent (BOLD) effects as well as diffusion-tensor MRI (DT-MRI) fiber tracking methods for quantitative characterization of muscle structure and bring these advanced techniques to bear on Becker and Duchenne muscular dystrophy. Role: Co-Investigator

Novo Nordisk Niswender (PI) 03/22/10-12/31/12 Novo Nordisk Novo Nordisk Investigator-Initiated Weight Loss Study The goal of this study is to examine the influence of insulin and weight loss on body composition and brain dopamine systems in human volunteers. Role: Co-Investigator

Completed Research Support None