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Image Guided Intervention Lab

Molecular Imaging Probe Laboratory (MIPL)

Molecular Biophotonics and Imaging Laboratory

Nuclear Medicine Research Lab

Imaging Radiobiology Laboratory

Molecular Imaging of Musculoskeletal Illnesses (MIMI)

Noninvasive Cardiac Imaging Lab

Magnetic Resonance Systems Research Lab (MRSRL)

Imaging and Therapeutic Platforms for Translational Medicine

Cardiovascular Gene and Cell Therapy

In Vivo Optical Imaging of the Nervous System Lab

Cellular and Molecular Imaging Lab (CMIL)

Research and Diagnosis of Disease States Using Magnetic Resonance Lab

Multimodality Molecular Imaging Lab

Cancer Molecular Imaging Chemistry Laboratory (CMICL)

Computational Cancer Research Laboratory (CCRL)

Translational Molecular Imaging Lab

Signal Transduction Imaging and Engineering (STIE)

Molecular Imaging Instrumentation Laboratory (MIIL)

Cellular Pathway Imaging Laboratory (CPIL)

Advanced Pediatric MR Imaging Laboratory


Blau Lab

Radiological Science Lab

Scott Lab

3D Medical Imaging Laboratory

Brown Lab

Nolan Lab

Clinical Molecular Imaging Research Group (CMIRG)

Interventional Radiology Translational Therapies Lab


3D Medical Imaging Laboratory
Sandy Napel




My primary interests are in developing diagnostic and therapy-planning applications and strategies for the acquisition and visualization 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. Some examples of flythroughs may be available on the Vital Images Web Page or under the 3D Medical Imaging Laboratory web pages. Finally, 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.

Visit the 3D Medical Imaging Laboratory web site.

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