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Daniel Spielman

Academic Appointments

  • Professor of Radiology (General Radiology) and, by courtesy, of Electrical Engineering

Key Documents

Contact Information

  • Academic Offices
    Personal Information
    Email Tel (650) 723-8697

Bio

My interests are in the field of in vivo magnetic resonance imaging (MRI) and spectroscopy (MRS) and the development of new methods of imaging metabolism within the body. Current projects include 13C MRS of hyperpolarized substrates for the assessment of glycolysis, oxidative phosphorylation, and other key metabolic pathways, optimized mapping of 1H metabolite distributions throughout the body, and quantifying neurotransmitter levels and cycling rates in the brain. In our laboratory, we have focussed on a novel array of both acquisition and analysis techniques for use in preclinical and clinical studies. These developments, which include improved spectroscopic imaging and shimming methods, multinuclear NMR studies, application of estimation theory for optimal data quantification, and the synthesis of new hyperpolarizeable 13C probes, address the inherent difficulties of low concentrations of the desired components, overlapping resonances, and magnetic field inhomogeneities caused by imperfect magnets and magnetic susceptibility variations with the body. Primary applications of this work include cancer diagnosis, treatment monitoring, and prediction of response to therapy, assessment of cardiac function, improved understanding and treatment of metabolic diseases (e.g. diabetes, liver failure) and neurologic disorders including Alzheimer's disease, schizophrenia, and epilepsy.

Academic Appointments

Honors and Awards

  • Academy of Radiology Research Council Distinguished Investigator Award, Academy of Radiology (2012)

Professional Education

Ph.D.: Stanford University, Electrical Engineering (1991)
MS: Stanford University, Statistics (1987)
MS: Stanford University, Electrical Engineering (1984)
BS: MIT, Electrical Engineering (1983)

Research & Scholarship

Current Research and Scholarly Interests

My research interests are in the field of medical imaging, particularly magnetic resonance imaging and in vivo spectroscopy. While magnetic resonance imaging (MRI) has been advancing at a rapid pace during the past decade, and provides excellent contrast between organs and lesions and exquisite anatomical detail, the promise that in vivo MR spectroscopy holds for revealing functional and physiological information will likely be realized in the decade to come. Many exciting correlations have been obtained between various MR spectroscopic components (e.g., metabolites such as lactate and choline) and disease diagnosis and treatment. However, until these can be robustly presented with high spatial resolution, high signal-to-noise ratio (SNR), and reasonable imaging times, they will remain primarily in the laboratory. Thus, current research in our laboratory has focussed on an array of novel techniques for producing clinically valuable images of these important metabolic components. These approaches, which include improved spectroscopic imaging and shimming methods as well as the application of estimation theory for optimal data quantification, address the inherent difficulties of low concentrations of the desired components, overlapping resonances, and field inhomogeneities caused by imperfect magnets and magnetic susceptibility variations with the body. Applications of this work include cancer diagnosis, treatment monitoring, and prediction of response to therapy. In addition, we are conducting basic research into a variety of neurologic conditions including brain development in pediatric patients and neurodegeneration associated with Alzheimer's disease, alcoholism, and aging.

These research activities are in collaboration with faculty and staff in various departments of the Medical School and in the School of Engineering, and I advise graduate students in various degree programs including Biophysics, Bioengineering, Electrical Engineering, and Medical Informatics.

Teaching

Postdoctoral Advisees

Jae Mo Park

Publications

Publications

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