Brian D Ross, PhD
Department of Radiology
109 Zina Pitcher Place, BSRB Room 2071
Ann Arbor, MI 48109-2200
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About
Brian D. Ross, Ph.D., completed his Doctorate in Biophysics at the University of California at Davis before completing an American Brain Tumor Foundation fellowship at the University of and Minnesota in the Center for Magnetic Resonance Research with Dr. Kamil Ugurbil.
Dr. Ross joined the Department in September 1990 and is currently the Roger A. Berg Research Professor of Radiology and also serves as the Associate Chair for Basic Science Research, Director of the Center for Molecular Imaging (CMI) and is a Professor in the Department of Biological Chemistry.
Dr. Ross has been active in pioneering development of quantitative imaging biomarkers for detection of tumor response to therapy and more recently, his lab extended these discoveries to develop the Parametric Response Map CT-based analytical approach allowing for detection of small airways disease in patients with interstitial lung diseases such as COPD.
As Director of CMI, Dr. Ross established a Core resource which serves as the institutional core for radiological imaging of small animal models of human disease. Dr. Ross has also worked extensively on clinical translation and commercialization of image-based quantitative biomarkers developed in his lab with ongoing clinical trials in the use of MRI for myelofibrosis staging and treatment response assessment.
Over his years here at Michigan, Dr. Ross has been the Principle Investigator of numerous multi-investigator NIH grants including P01, P20, P50 grants along with S10 instrumentation awards. He was also awarded the National Cancer Institute Outstanding Investigator Award (OIA) given to investigators with outstanding records of productivity in cancer research to allow an extended 7 years of funding to continue or embark on projects of unusual potential in cancer research. Dr. Ross was among the first group of 50 individuals to receive the award and was the first investigator in a Radiology department.
Links
CMI Website
Qualifications
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Postdoctoral Research FellowUniversity of Minnesota, Minneapolis, USA
1987 - 1990
Postdoctoral Research
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PhD, BiophysicsUniversity of California, Davis, CA, United States
1984 - 1987
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MS, ChemistryUniversity of California, Davis, CA, United States
1981 - 1983
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BS, ChemistryUniversity of California, Davis, CA, United States
1978 - 1981
Center Memberships
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Center MemberBiosciences Initiative
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Center MemberRogel Cancer Center
Research Overview
Throughout my career, research activities have yielded a logical progression of a series of seminal advances in the fields of oncologic imaging and therapeutics. During this time, I have been involved with Dr. Chenevert in pioneering the use of quantifying the diffusion of water molecules within tumors with first in rodents and first in human publications demonstrating use as a quantitative, early imaging biomarker of treatment response. Initial diffusion-magnetic resonance imaging results revealed intra-tumor response heterogeneity. This required further significant insight and development of novel image analysis approaches leading to the next breakthrough, the first voxel-based image analysis approach using serially registered image-generated quantitative diffusion maps. These studies laid the groundwork for a first in human prospective imaging clinical trial confirming the original hypothesis that diffusion could serve as an early imaging biomarker of treatment response for solid tumors. This has been independently confirmed by many other labs and across all tumor types studied and is under active investigation in clinical trials worldwide.
We subsequently developed voxel-based analysis of serially registered image-derived maps for providing a universal solution for achieving outstanding sensitivity for detection of pathological spatially varying changes across imaging modalities including MRI (i.e., DW-MR, DCE-MR, DSC-MR), CT and PET. These developments facilitated further advancements in lung CT voxel-based analysis methods which allowed for detection of the inflammatory component (small airways disease) in patients with chronic obstructive pulmonary disease (COPD) which had been masked by emphysema up to that time. Further work in my lab has also shown that this imaging approach could be applied for early detection of graft versus host disease known as bronchiolitis obliterans in cancer patients undergoing hematopoietic stem cell transplant to allow for much earlier treatment intervention.
One of the disappointing issues encountered during development of quantitative imaging biomarkers was the realization most treatments are sub-optimal therefore detection of treatment response was less important than development of a more efficacious therapeutic intervention. To merge the imaging biomarker work with drug development, I established a fully functional synthetic medicinal chemistry laboratory at the North Campus Research Complex (NCRC) (ex. Pfizer site) enabling my lab to develop a new class of multi-targeted kinase inhibitors which we discovered were lymphatically absorbed and coined the term ‘lymphatropic’ agents to describe these first-in-class agents. The significance of this finding cannot be overstated, and I consider it to be a transformative, once in a generation opportunity to advance an entirely new class of therapeutics. The overall advances in imaging and chemistry has focused on advancement of lymphatropic drug development integrated with innovations in molecular imaging of bone marrow for the treatment of the myeloproliferative neoplasm, myelofibrosis. The overall research activities provide and unprecedented opportunity to improve treatment management and outcomes for cancer patients.
Recent Publications
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Callow B, He X, Juriga N, Heist K, Jang Y, Pierre-Louis D, Ross B, Davis F. Annals of Vascular Surgery, 2026 Jan 7;Journal Article35. Lp-182 As A Novel Therapeutic Drug For Abdominal Aortic Aneurysms
DOI:10.1016/j.avsg.2025.11.090 -
Malyarenko D, Ross BD, Peeters JM, Devaraj A, Jafari R, Tariq H, Pettit KM, Talpaz M, Luker GD, Chenevert TL. Magnetic Resonance in Medicine, 2026 Jan 1;Journal ArticleOn-Scanner Correction of Gradient Nonlinearity Bias for Accurate Assessment of Diffusion Heterogeneity Across Bone Sites in Myelofibrosis Patients
DOI:10.1002/mrm.70273 PMID: 41612146 -
Ross B, Malyarenko1 D, Luker G, Kandarpa M, Polk A, Pettit K, Talpaz M, Chenevert T. 2025 Dec 9;Proceeding / Abstract / PosterMRI detection of early changes in bone marrow fat content of ruxolitinib treated MF patients provides new insights into standard therapy response criteria
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Ross B, Bonham C, Jang Y, Heist K, McDonald L, Fair A, Malyarenko D, Chenevert T. 2025 Dec 9;Proceeding / Abstract / PosterMagnetic resonance imaging maps spatiotemporal changes in bone marrow composition of murine JAKV617F models of myelofibrosis during progression and therapy
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Ross B, Jang Y, Heist K, McDonald L, Fair A, Kiridena H, Chenevert T. 2025 Dec 9;Proceeding / Abstract / PosterMomelotinib inhibition of JAK/STAT in a mouse JAKV617F myelofibrosis model showed concurrent activation of p-ERK and p-AKT which was reversed by combination therapy using LP-182, a novel MEK/PI3K/mTOR inhibitor
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Robison TH, Levinson A, Lee W, Pettit K, Malyarenko D, Kandarpa M, Johnson TD, Chenevert TL, Ross BD, Talpaz M, Luker GD. Radiology Imaging Cancer, 2025 Nov 1; 7 (6):Journal ArticleQuantitative MRI Assessment of Bone Marrow Disease in Myelofibrosis: A Prospective Study
DOI:10.1148/rycan.240501 PMID: 41236389 -
Heist KA, Bonham CA, Jang Y, Bergin IL, Welton A, Karnak D, Hatt CA, Cooper M, Teng W, Hardie WD, Chenevert TL, Ross BD. Tomography, 2025 Oct 1; 11 (10):Journal ArticleMurine Functional Lung Imaging Using X-Ray Velocimetry for Longitudinal Noninvasive Quantitative Spatial Assessment of Pulmonary Airflow
DOI:10.3390/tomography11100112 PMID: 41150169 -
Ross B, Rojas JD, Kierski TM, Muhammad Aji A, Betthauser JL, Kloepping K, Houston Z, Tseng J-C, McMannus C, Anu John BJ, David H, Repetto D, Neil J, Heist K, Peterson JD, Gessner R, Czernuszewicz TJ. 2025 Sep 29;Proceeding / Abstract / PosterRapid volumetric segmentations of rodent spleens across a variety of disease types from in vivo images using AI
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