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Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor.

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González, Diego and Botella Juan, Guillermo and García, Carlos and Prieto Matías, Manuel and Tirado Fernández, Francisco (2013) Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor. Eurasip Journal on Advances in Signal Processing . ISSN 1687-6180

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Official URL: http://dx.doi.org/10.1186/1687-6180-2013-118




Abstract

Medical imaging has become an absolutely essential diagnostic tool for clinical practices; at present, pathologies can be detected with an earliness never before known. Its use has not only been relegated to the field of radiology but also, increasingly, to computer-based imaging processes prior to surgery. Motion analysis, in particular, plays an important role in analyzing activities or behaviors of live objects in medicine. This short paper presents several low-cost hardware implementation approaches for the new generation of tablets and/or smartphones for estimating motion compensation and segmentation in medical images. These systems have been optimized for breast cancer diagnosis using magnetic resonance imaging technology with several advantages over traditional X-ray mammography, for example, obtaining patient information during a short period. This paper also addresses the challenge of offering a medical tool that runs on widespread portable devices, both on tablets and/or smartphones to aid in patient diagnostics.


Item Type:Article
Additional Information:

© Springer International Publishing AG
The authors would like to thank the Altera Company for the provided hardware and software under the University programs. The authors would like to thank Professor Uwe Meyer-Base from Florida State University for his help and support regarding digital signal processing with FPGAs. This work has been partially supported by Spanish Projects TIN 2008/508 and TIN 2012/32180.

Uncontrolled Keywords:Motion estimation; Search algorithm.
Subjects:Sciences > Computer science
ID Code:34717
Deposited On:14 Jan 2016 16:47
Last Modified:18 Jan 2016 09:36

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