Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers
Apstrakt
Image segmentation is one of the most common procedures in medical imaging applications. It is also a very important task in breast cancer detection. Breast cancer detection procedure based on mammography can be divided into several stages. The first stage is the extraction of the region of interest from a breast image, followed by the identification of suspicious mass regions, their classification, and comparison with the existing image database. It is often the case that already existing image databases have large sets of data whose processing requires a lot of time, and thus the acceleration of each of the processing stages in breast cancer detection is a very important issue. In this paper, the implementation of the already existing algorithm for region-of-interest based image segmentation for mammogram images on High-Performance Reconfigurable Dataflow Computers (HPRDCs) is proposed. As a dataflow engine (DFE) of such HPRDC, Maxeler's acceleration card is used. The experiments for... examining the acceleration of that algorithm on the Reconfigurable Dataflow Computers (RDCs) are performed with two types of mammogram images with different resolutions. There were, also, several DFE configurations and each of them gave a different acceleration value of algorithm execution. Those acceleration values are presented and experimental results showed good acceleration.
Izvor:
Computational and Mathematical Methods In Medicine, 2017Izdavač:
- Hindawi Ltd, London
Finansiranje / projekti:
- Metode modeliranja na više skala sa primenama u biomedicini (RS-MESTD-Basic Research (BR or ON)-174028)
- Primena biomedicinskog inženjeringa u pretkliničkoj i kliničkoj praksi (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-41007)
DOI: 10.1155/2017/7909282
ISSN: 1748-670X
WoS: 000402930400001
Scopus: 2-s2.0-85021759401
Kolekcije
Institucija/grupa
Geografski fakultetTY - JOUR AU - Milanković, Ivan L. AU - Mijailović, Nikola V. AU - Filipović, Nenad AU - Peulić, Aleksandar PY - 2017 UR - https://gery.gef.bg.ac.rs/handle/123456789/833 AB - Image segmentation is one of the most common procedures in medical imaging applications. It is also a very important task in breast cancer detection. Breast cancer detection procedure based on mammography can be divided into several stages. The first stage is the extraction of the region of interest from a breast image, followed by the identification of suspicious mass regions, their classification, and comparison with the existing image database. It is often the case that already existing image databases have large sets of data whose processing requires a lot of time, and thus the acceleration of each of the processing stages in breast cancer detection is a very important issue. In this paper, the implementation of the already existing algorithm for region-of-interest based image segmentation for mammogram images on High-Performance Reconfigurable Dataflow Computers (HPRDCs) is proposed. As a dataflow engine (DFE) of such HPRDC, Maxeler's acceleration card is used. The experiments for examining the acceleration of that algorithm on the Reconfigurable Dataflow Computers (RDCs) are performed with two types of mammogram images with different resolutions. There were, also, several DFE configurations and each of them gave a different acceleration value of algorithm execution. Those acceleration values are presented and experimental results showed good acceleration. PB - Hindawi Ltd, London T2 - Computational and Mathematical Methods In Medicine T1 - Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers DO - 10.1155/2017/7909282 UR - https://hdl.handle.net/21.15107/rcub_gery_833 ER -
@article{ author = "Milanković, Ivan L. and Mijailović, Nikola V. and Filipović, Nenad and Peulić, Aleksandar", year = "2017", abstract = "Image segmentation is one of the most common procedures in medical imaging applications. It is also a very important task in breast cancer detection. Breast cancer detection procedure based on mammography can be divided into several stages. The first stage is the extraction of the region of interest from a breast image, followed by the identification of suspicious mass regions, their classification, and comparison with the existing image database. It is often the case that already existing image databases have large sets of data whose processing requires a lot of time, and thus the acceleration of each of the processing stages in breast cancer detection is a very important issue. In this paper, the implementation of the already existing algorithm for region-of-interest based image segmentation for mammogram images on High-Performance Reconfigurable Dataflow Computers (HPRDCs) is proposed. As a dataflow engine (DFE) of such HPRDC, Maxeler's acceleration card is used. The experiments for examining the acceleration of that algorithm on the Reconfigurable Dataflow Computers (RDCs) are performed with two types of mammogram images with different resolutions. There were, also, several DFE configurations and each of them gave a different acceleration value of algorithm execution. Those acceleration values are presented and experimental results showed good acceleration.", publisher = "Hindawi Ltd, London", journal = "Computational and Mathematical Methods In Medicine", title = "Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers", doi = "10.1155/2017/7909282", url = "https://hdl.handle.net/21.15107/rcub_gery_833" }
Milanković, I. L., Mijailović, N. V., Filipović, N.,& Peulić, A.. (2017). Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers. in Computational and Mathematical Methods In Medicine Hindawi Ltd, London.. https://doi.org/10.1155/2017/7909282 https://hdl.handle.net/21.15107/rcub_gery_833
Milanković IL, Mijailović NV, Filipović N, Peulić A. Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers. in Computational and Mathematical Methods In Medicine. 2017;. doi:10.1155/2017/7909282 https://hdl.handle.net/21.15107/rcub_gery_833 .
Milanković, Ivan L., Mijailović, Nikola V., Filipović, Nenad, Peulić, Aleksandar, "Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers" in Computational and Mathematical Methods In Medicine (2017), https://doi.org/10.1155/2017/7909282 ., https://hdl.handle.net/21.15107/rcub_gery_833 .