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Proceedings Paper

Study of separation between ex vivo malignant and benign prostatic tissue using magnetic resonance electrical property tomography
Author(s): Ethan K. Murphy; Elias S. Hyams; Alan R. Schned; Jason Pettus; Ryan Halter
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Paper Abstract

Magnetic Resonance Electrical Properties Tomography (MREPT) is an imaging modality that uses MR data to directly calculate the conductivity of the imaged object. This study evaluates if MREPT can be used to image differences between cancerous and benign prostate tissue. A total of 39 freshly excised prostates were imaged. MR data and four MREPT approaches were analyzed. Including a new MREPT approach that overlaps tiles (subdomains) resulting in an efficient approach that minimizes artifacts. No direct threshold value was found to differentiate the malignant from benign tissues. However, significance differences were found when comparing malignant and benign differences (differenced on a per slice basis), which reveals there are measurable differences between the two tissues. Ongoing work aims to develop a calibration technique that can exploit these differences so that malignant tissue can be robustly identified.

Paper Details

Date Published: 15 March 2019
PDF: 7 pages
Proc. SPIE 10953, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, 109532C (15 March 2019); doi: 10.1117/12.2512897
Show Author Affiliations
Ethan K. Murphy, Thayer School of Engineering at Dartmouth (United States)
Elias S. Hyams, Dartmouth-Hitchcock Medical Ctr. (United States)
Geisel School of Medicine (United States)
Alan R. Schned, Dartmouth-Hitchcock Medical Ctr. (United States)
Geisel School of Medicine (United States)
Jason Pettus, Dartmouth-Hitchcock Medical Ctr. (United States)
Geisel School of Medicine (United States)
Ryan Halter, Thayer School of Engineering at Dartmouth (United States)
Geisel School of Medicine (United States)


Published in SPIE Proceedings Vol. 10953:
Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Andrzej Krol, Editor(s)

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