I have developed new approaches to functional and anatomic magnetic resonance imaging for over 30 years. I’ve applied these methods to improve detection and accurate diagnosis of cancer, and monitor cancer response to therapy. I am the Director of Magnetic Resonance Imaging Research at the University of Chicago, and Co-Director of the Advanced Imaging Program of the University of Chicago Comprehensive Cancer center. I’ve collaborated with our outstanding mammographic group and medical physics colleagues for many years to build internationally recognized research program in quantitative breast cancer MR imaging – which parallels and compliments a leading clinical program in breast cancer diagnosis and management. Similarly, I’ve collaborated with Dr. Oto and others to develop a leading translational research program focused on improving prostate cancer screening with MRI, and using MRI to guide therapye. With these collaborators, I’ve made pioneering contributions to MRI methods that improve prostate and breast cancer diagnosis and treatment. My research includes use of pre-clinical methods for breast and prostate cancer to improve understanding of cancer biology and guide the development of improved clinical methods.
University of California at Berkeley
Berkeley, CA
Ph.D. - Physical Chemistry
1984
Reed College
Portland
B.A - Physical Chemistry
1977
Empirical noise mapping guides optimal region-of-interest selection for accurate noise estimation in prostate DWI.
Empirical noise mapping guides optimal region-of-interest selection for accurate noise estimation in prostate DWI. J Appl Clin Med Phys. 2026 Sep; 27(9):e70738.
PMID: 42682154
Population arterial input function measured from low dose breast ultrafast dynamic contrast enhanced MRI and fitted with a new mathematic model.
Population arterial input function measured from low dose breast ultrafast dynamic contrast enhanced MRI and fitted with a new mathematic model. Magn Reson Imaging. 2026 07; 130:110671.
PMID: 41895351
Automated Cluster-based Quantitative Analysis of Ultrafast DCE MRI for Differential Breast DCIS Grading.
Automated Cluster-based Quantitative Analysis of Ultrafast DCE MRI for Differential Breast DCIS Grading. Radiol Imaging Cancer. 2026 Mar; 8(2):e250432.
PMID: 41823605
K-means clustering-based analysis of quantitative ultrafast DCE-MRI for predicting breast cancer response to neoadjuvant chemotherapy.
K-means clustering-based analysis of quantitative ultrafast DCE-MRI for predicting breast cancer response to neoadjuvant chemotherapy. J Appl Clin Med Phys. 2026 Jan; 27(1):e70439.
PMID: 41456332
Ultrafast breast DCE-MRI: comparative analysis of semi-quantitative and pharmacokinetic parameters with gadoterate meglumine versus gadobutrol in malignant lesions and background parenchymal enhancement.
Ultrafast breast DCE-MRI: comparative analysis of semi-quantitative and pharmacokinetic parameters with gadoterate meglumine versus gadobutrol in malignant lesions and background parenchymal enhancement. Quant Imaging Med Surg. 2025 Nov 01; 15(11):10582-10594.
PMID: 41209243
Clinical application of gadoterate meglumine in abbreviated dynamic contrast-enhanced magnetic resonance imaging of the breast with ultrafast imaging: a single-center retrospective study.
Clinical application of gadoterate meglumine in abbreviated dynamic contrast-enhanced magnetic resonance imaging of the breast with ultrafast imaging: a single-center retrospective study. Quant Imaging Med Surg. 2025 Oct 01; 15(10):8755-8767.
PMID: 41081174
A Translational Research Leveraging Diagnostic Accuracy of Innovations in MRI as a Model for Early Breast Cancer Detection in Uganda.
A Translational Research Leveraging Diagnostic Accuracy of Innovations in MRI as a Model for Early Breast Cancer Detection in Uganda. Technol Cancer Res Treat. 2025 Jan-Dec; 24:15330338251356549.
PMID: 40660819
Physics-Informed Autoencoder for Prostate Tissue Microstructure Profiling with Hybrid Multidimensional MRI.
Physics-Informed Autoencoder for Prostate Tissue Microstructure Profiling with Hybrid Multidimensional MRI. Radiol Artif Intell. 2025 03; 7(2):e240167.
PMID: 39907585
Prospective Validation of an Automated Hybrid Multidimensional MRI Tool for Prostate Cancer Detection Using Targeted Biopsy: Comparison with PI-RADS-based Assessment.
Prospective Validation of an Automated Hybrid Multidimensional MRI Tool for Prostate Cancer Detection Using Targeted Biopsy: Comparison with PI-RADS-based Assessment. Radiol Imaging Cancer. 2025 01; 7(1):e240156.
PMID: 39836080
Introduction to matrix-based method for analyzing hybrid multidimensional prostate MRI data.
Introduction to matrix-based method for analyzing hybrid multidimensional prostate MRI data. J Appl Clin Med Phys. 2025 Jan; 26(1):e14544.
PMID: 39568316