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dc.contributor.authorHussain, Tassadaq
dc.contributor.authorPalomar, Oscar
dc.contributor.authorCristal Kestelman, Adrián
dc.contributor.authorAyguadé Parra, Eduard
dc.contributor.authorHaider, Amna
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2017-05-10T11:06:24Z
dc.date.available2017-05-10T11:06:24Z
dc.date.issued2015
dc.identifier.citationHussain, T., Palomar, O., Cristal, A., Ayguadé, E., Haider, A. ViPS: Visual processing system for medical imaging. A: International Conference on Biomedical Engineering and Informatics. "2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015: 14-16 October 2015, Liao Ning Zheng Xie Hotel, Shenyang, China: proceedings". Shenyang: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 40-45.
dc.identifier.isbn978-1-5090-0022-7
dc.identifier.urihttp://hdl.handle.net/2117/104262
dc.description.abstractImaging has become an indispensable tool in modern medicine. Various powerful and expensive platforms to study medical imaging applications appear in recent years. In this article, we design and propose a Visual Processing System (ViPS) that processes medical imaging applications efficiently. ViPS provides a user-friendly programming environment and high-performance architecture to perform image analysis, features extraction and object recognition for complex real-time images or videos. The data structure of image or video is described in the program memory using pattern descriptors; ViPS uses specialized 3D memory structure to handle complex images or videos and processes them on microprocessors or application specific hardware accelerators. The proposed system is highly reliable in terms of cost, performance, and power. ViPS based system is implemented and tested on a Xilinx Virtex-7 FPGA VC707 Evaluation Kit. The performance of ViPS is compared with the Intel i7 multi-core, GPU Jetson TK1 Embedded Development Kit with 192 CUDA cores based graphic systems. When compared with the Intel and GPU-based systems, the results show that ViPS performs real-time video reconstruction at 2x and 1.45x of higher frame rate, achieves 14.6x to 4.8x of speedup while executing different image processing applications and 20.3% and 12.6% of speedup for video processing algorithms respectively.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.lcshImaging systems in medicine
dc.subject.lcshThree dimensional imaging in medicine
dc.subject.otherBiomedical imaging
dc.subject.otherHardware
dc.subject.otherGraphics
dc.subject.otherThree-dimensional displays
dc.subject.otherComputer architecture
dc.subject.otherProgramming
dc.subject.otherCameras
dc.titleViPS: Visual processing system for medical imaging
dc.typeConference report
dc.subject.lemacImatges mèdiques
dc.subject.lemacImatges tridimensionals en medicina
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1109/BMEI.2015.7401470
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7401470/
dc.rights.accessOpen Access
local.identifier.drac19377671
dc.description.versionPostprint (author's final draft)
local.citation.authorHussain, T.; Palomar, O.; Cristal, A.; Ayguadé, E.; Haider, A.
local.citation.contributorInternational Conference on Biomedical Engineering and Informatics
local.citation.pubplaceShenyang
local.citation.publicationName2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015: 14-16 October 2015, Liao Ning Zheng Xie Hotel, Shenyang, China: proceedings
local.citation.startingPage40
local.citation.endingPage45


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