Multiscale AM-FM decompositions with GPU acceleration for diabetic retinopathy screening

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Volumn , Issue , 2012, Pages 121-124

  Carranza, Cesar ^a,b   Murray, Victor ^a   Pattichis, Marios ^a   Barriga, E Simon ^c  

^a MSC01 1070   (United States)

^b PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ   (Peru)

^c VisionQuest Biomedical   (United States)

Author keywords

AM FM; diabetic retinopathy; GPU; parallel processing

Indexed keywords

AM-FM; COMPUTATIONAL TIME AND MEMORY; COMPUTE UNIFIED DEVICE ARCHITECTURES; COMPUTER AIDED DIAGNOSIS SYSTEMS; DIABETIC RETINOPATHY; DIABETIC RETINOPATHY SCREENING; DIFFERENT FREQUENCY; GPU; GPU ACCELERATIONS; GRAPHICS PROCESSING UNIT; HARD DRIVES; MAIN MEMORY; MATHEMATICAL OPERATIONS; MATLAB CODE; MEMORY REQUIREMENTS; MEMORY RESOURCES; MULTISCALES; ORIGINAL IMAGES; PARALLEL IMPLEMENTATIONS; PARALLEL PROCESSING; PATHOLOGICAL RETINAL IMAGES; RUNNING TIME; XEON PROCESSORS;

COMPUTER GRAPHICS; EYE PROTECTION; IMAGE ANALYSIS; MATLAB; MEMORY ARCHITECTURE; PERSONAL COMPUTERS; PROGRAM PROCESSORS;

AMPLITUDE MODULATION;

EID: 84862898539     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSIAI.2012.6202468     Document Type: Conference Paper

References (12)

1. U.S. Department of Health and Human Services, "National diabetes statistics," February 2011, NIH Publication No. 11-3892.
2. C. Agurto, V. Murray, E. Barriga, S. Murillo, M. Pattichis, H. Davis, S. Russell, M. Abramoff, and P. Soliz, "Multiscale AM-FM methods for diabetic retinopathy lesion detection," IEEE Transactions on Medical Imaging, vol. 29, no. 2, pp. 502-512, 2010.
3. C. Agurto, S. Barriga, V. Murray, S. Murillo, G. Zamora, W. Bauman, M. Pattichis, and P. Soliz, "Toward comprehensive detection of sight threatening retinal disease using a multiscale AM-FM methodology," in Medical Imaging 2011: Computer-Aided Diagnosis, Ronald M. Summers and Bram van Ginneken, Eds. 2011, vol. 7963, p. 796316, SPIE.
4. S. Moulik and W. Boonn, "The role of GPU computing in medical image analysis and visualization," in Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications, William W. Boonn and Brent J. Liu, Eds. 2011, vol. 7967, p. 79670L, SPIE.
5. Joohyung Suh, Kevin Ma, and Anh Le, "Improvement of MS (multiple sclerosis) CAD (computer aided diagnosis) performance using C/C++ and computing engine in the graphical processing unit (GPU)," in Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications, William W. Boonn and Brent J. Liu, Eds. 2011, vol. 7967, p. 79670V, SPIE.
6. V. Simek and R. R. Asn, "GPU acceleration of 2D-DWT image compression in MATLAB with CUDA," in Proc. Second UKSIM European Symp. Computer Modeling and Simulation EMS '08, 2008, pp. 274-277.
7. W. J. Van Der Laan, J. B. T. M. Roerdink, and A. C. Jalba, "Accelerating wavelet-based video coding on graphics hardware using CUDA," in Proc. 6th Int. Symp. Image and Signal Processing and Analysis ISPA 2009, 2009, pp. 608-613.
8. Wang Jianjun, Lu Wenlong, Liu Xiaojun, and Jiang Xiangqian, "Highspeed parallel wavelet algorithm based on CUDA and its application in three-dimensional surface texture analysis," in Proc. Int Electric Information and Control Engineering (ICEICE) Conf, 2011, pp. 2249-2252.
9. J. Franco, G. Bernabe, J. Fernandez, and M. E. Acacio, "A parallel implementation of the 2d wavelet transform using CUDA," in Proc. 17th Euromicro Int Parallel, Distributed and Network-based Processing Conf, 2009, pp. 111-118.
10. Seung-Hun Yoo, Jin-Hyung Park, and Chang-Sung Jeong, "Accelerating multi-scale image fusion algorithms using CUDA," in Proc. Int. Conf. of Soft Computing and Pattern Recognition SOCPAR '09, 2009, pp. 278-282.
11. V. Murray, P. Rodriguez, and M. S. Pattichis, "Multiscale AMFM demodulation and image reconstruction methods with improved accuracy," IEEE Transactions on Image Processing, vol. 19, no. 5, pp. 1138-1152, 2010.
12. NVIDIA, "CUDA toolkit & SDK," 2011.