Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6921660 | Computers in Biology and Medicine | 2014 | 8 Pages |
Abstract
In this paper, we develop a novel tumor positioning method based on spatial sparsity. We estimate the position by processing the received signals from only one implantable RF transmitter. The proposed method uses less number of sensors compared to common magnetic transponder based approaches. The performance of the proposed method is evaluated in two different cases: (1) when the tissue configuration is perfectly determined (acquired beforehand by MRI or CT) and (2) when there are some uncertainties about the tissue boundaries. The results demonstrate the high accuracy and performance of the proposed method, even when the tissue boundaries are imperfectly known.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Mohammad Pourhomayoun, Zhanpeng Jin, Mark Fowler,