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
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 Feb 05; 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 Jan; 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
Quantitative Multi-Parametric MRI of the Prostate Reveals Racial Differences.
Quantitative Multi-Parametric MRI of the Prostate Reveals Racial Differences. Cancers (Basel). 2024 Oct 16; 16(20).
PMID: 39456593
Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer.
Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer. Cancer Imaging. 2024 Jul 08; 24(1):89.
PMID: 38972972
Systematic evaluation of MRI-based characterization of tumor-associated vascular morphology and hemodynamics via a dynamic digital phantom.
Systematic evaluation of MRI-based characterization of tumor-associated vascular morphology and hemodynamics via a dynamic digital phantom. J Med Imaging (Bellingham). 2024 Mar; 11(2):024002.
PMID: 38463607
Self-supervised multicontrast super-resolution for diffusion-weighted prostate MRI.
Self-supervised multicontrast super-resolution for diffusion-weighted prostate MRI. Magn Reson Med. 2024 Jul; 92(1):319-331.
PMID: 38308149
Prostate Cancers Invisible on Multiparametric MRI: Pathologic Features in Correlation with Whole-Mount Prostatectomy.
Prostate Cancers Invisible on Multiparametric MRI: Pathologic Features in Correlation with Whole-Mount Prostatectomy. Cancers (Basel). 2023 Dec 13; 15(24).
PMID: 38136370
Multi-model sequential analysis of MRI data for microstructure prediction in heterogeneous tissue.
Multi-model sequential analysis of MRI data for microstructure prediction in heterogeneous tissue. Sci Rep. 2023 10 01; 13(1):16486.
PMID: 37779137
Four-quadrant vector mapping of hybrid multidimensional MRI data for the diagnosis of prostate cancer.
Four-quadrant vector mapping of hybrid multidimensional MRI data for the diagnosis of prostate cancer. Med Phys. 2024 Mar; 51(3):2057-2065.
PMID: 37642562