Sandy Napel
Academic Appointments
- Professor, Radiology - Diagnostic Radiology
- Member, Bio-X
- Member, Stanford Cancer Institute
- Professor (By courtesy), Medicine - Biomedical Informatics Research
- Professor (By courtesy), Electrical Engineering
Key Documents
Contact Information
- Academic Offices
Personal Information Email Tel (650) 724-9286 Tel (650) 725-8027Alternate Contact Debra Frank Administrative Associate Email Tel Work (650) 724-9286
Professional Overview
Administrative Appointments
- co-Section Chief, Information Science in Imaging at Stanford (ISIS) (2009 - present)
- co-Director, Radiology 3D and Quantitative Imaging Laboratory (1996 - present)
Honors and Awards
- Distinguished Investigator Award, Academy of Radiology Research (2012)
- College of Fellows, American Institute for Medical and Biological Engineering (AIMBE) (November 2009)
Professional Education
| BS: | SUNY Stony Brook, Engineering Sciences (1974) |
| MS: | Stanford University, Electrical Engineering (1976) |
| PhD: | Stanford University, Electrical Engineering (1981) |
Graduate & Fellowship Program Affiliations
Internet Links
Industry Relationships
Stanford is committed to ethical and transparent interactions with our industrial and other commercial partners. It is our policy to disclose payments (exclusive of travel support) from, and/or equity in, companies or other commercial entities to Stanford faculty of $5,000 or more in total value, as well as any equity in a privately held company, when the faculty member also has institutional responsibilities related to his or her interactions with the company. View Full Information
Scientific Focus
Current Research Interests
My primary interests are in developing diagnostic and therapy-planning applications and strategies for the acquisition, visualization, and quantitation of multi-dimensional medical imaging data. Examples are: creation of three-dimensional images of blood vessels using CT, visualization of complex flow within blood vessels using MR, computer-aided detection and characterization of lesions (e.g., colonic polyps, pulmonary nodules) from cross-sectional image data, visualization and automated assessment of 4D ultrasound data, and fusion of images acquired using different modalities (e.g., CT and MR). I have also been involved in developing and evaluating techniques for exploring cross-sectional imaging data from an internal perspective, i.e., virtual endoscopy (including colonoscopy, angioscopy, and bronchoscopy), and in the quantitation of structure parameters, e.g., volumes, lengths, medial axes, and curvatures. I am also interested in creating workable solutions to the problem of "data explosion," i.e., how to look at the thousands of images generated per examination using modern CT and MR scanners. My most recent focus includes making image features computer-accessible, to facilitate content-based retrieval of similar lesions, and prediction of molecular phenotype, response to therapy, and prognosis from imaging features. I am co-director of the Radiology 3D and Quantitative Imaging Lab, providing clinical service to the Stanford and local community, and co-Director of ISIS (Information Sciences in Imaging @ Stanford), whose mission is to advance the clinical and basic sciences in radiology, while improving our understanding of biology and the manifestations of disease, by pioneering methods in the information sciences that integrate imaging, clinical and molecular data.
Publications
- NOTE: This list is not complete NOTE: This list is not complete.
- A comprehensive descriptor of shape: method and application to content-based retrieval of similar appearing lesions in medical images. J Digit Imaging. 2012; (1): 121-8
- Automatic annotation of radiological observations in liver CT images. AMIA Annu Symp Proc. 2012: 257-63
- Modeling Perceptual Similarity Measures in CT Images of Focal Liver Lesions. J Digit Imaging. 2012
- Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results. Radiology. 2012; (2): 387-96
- Prognostic PET 18F-FDG uptake imaging features are associated with major oncogenomic alterations in patients with resected non-small cell lung cancer. Cancer Res. 2012; (15): 3725-34
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