Parallel multiscale feature extraction and region growing: Application in retinal blood vessel detection

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 2, 2010, Pages 500-506

  Palomera Pérez, Miguel A ^a   Martinez Perez, M Elena ^a   Benítez Pérez, Hector ^a   Ortega Arjona, Jorge Luis ^b  

^a IIMAS UNAM   (Mexico)

^b UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

Author keywords

Data processing; Distributed algorithms; Image analysis; Image processing; Image segmentation; Parallel programming

Indexed keywords

DISTRIBUTED ALGORITHM; DISTRIBUTED ALGORITHMS; HIGH RESOLUTION; HIGH-QUALITY SEGMENTATION; INSIGHT SEGMENTATION AND REGISTRATION TOOLKITS; MANUAL SEGMENTATION; MULTI-SCALE FEATURES; PARALLEL IMPLEMENTATIONS; PUBLIC DATABASE; REGION GROWING; REGION GROWING ALGORITHM; RETINAL BLOOD VESSELS; RETINAL IMAGE;

BLOCK CODES; BLOOD; DATA PROCESSING; DIGITAL IMAGE STORAGE; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; IMAGING SYSTEMS; OPHTHALMOLOGY; PARALLEL PROGRAMMING;

BLOOD VESSELS;

ALGORITHM; ARTICLE; FACTUAL DATABASE; HISTOLOGY; HUMAN; IMAGE PROCESSING; METHODOLOGY; REPRODUCIBILITY; RETINA; RETINA BLOOD VESSEL; VISUAL SYSTEM EXAMINATION;

ALGORITHMS; DATABASES, FACTUAL; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; RETINA; RETINAL VESSELS;

EID: 77949688605     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2036604     Document Type: Article

References (16)

1. N. Witt, T. Y. Wong, A. D. Hughes, N. Chaturvedi, B. E. Klein, and R. Evans, "Abnormalities of retinal microvascular structure and risk of mortality from ischemic heart disease and stroke," Hypertension, vol.47, no.5, pp. 975-981, 2006.
2. T. Y. Wong, R. Klein, B. Klein, J. Tielsch, L. Hubbard, and F. J. Nieto, "Retinal microvascular abnormalities and their relationshipwith hypertension, cardiovascular disease, and mortality," Surv. Ophthalmol., vol.46, no.1, pp. 59-80, 2001.
3. J. C. Crane, F. W. Crawford, and S. J. Nelson, "Grid enabled magnetic resonance scanners for near real-time medical image processing," J. Parallel Distrub. Comput., vol.66, no.12, pp. 1524-1533, 2006.
4. F. Zhang, A. Bilas, A. Dhanantwari, K. N. Plataniotis, R. Abiprojo, and S. Stregiopoulos, "Parallelization and performance of 3D ultrasound imaging beamforming algorithms on modern clusters," in Proc. 16th Int. Conf. Supercomput. (ICS 2002). New York: ACM, pp. 294-304.
5. M. E. Martinez-Perez, A. D. Hughes, S. A. Thom, A. A. Bharath, and K. H. Parker, "Segmentation of blood vessels from red-free and fluorescein retinal images," Med. Image Anal., vol.11, no.1, pp. 47-61, 2007.
6. L. Ibanez,W. Schroeder, L. Ng, and J. Cates, The ITK Software Guide 2.4, 2nd ed. Kitware Inc., 2003.
7. M. E. Martinez-Perez, A. D. Hughes, S. A. Thom, and K. H. Parker, "Improvement of a retinal blood vessel segmentation method using the insight segmentation and registration toolkit (ITK)," in Proc. 29th IEEE EMBS Annu. Int. Conf., Lyon, France, Aug. 23-26, 2007, pp. 892-895.
8. A. Hoover, V. Kouznetsova, and M. Goldbaum, "Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response," IEEE Trans. Med. Imag., vol.19, no.3, pp. 203-210, Mar. 2000.
9. J. Staal, M. D. Abramoff,M. Niemeijer,M. A. Viergever, and B. van Ginneken, "Ridge-based vessel segmentation in color images of the retina," IEEE Trans. Med. Imag., vol.23, no.4, pp. 501-509, Apr. 2004.
10. X. Jiang and D. Mojon, "Adaptive local thresholding by verificationbasedmultithreshold probing with application to vessel detection in retinal images," IEEE Trans. Pattern Recogn. Anal. Mach. Intell., vol.25, no.1, pp. 131-137, Jan. 2003.
11. D. Eberly, Ridges in Image and Data Analysi. (ser. Computational Imaging and Vision). Doordrecht, The Netherlands: Kluwer, 1996.
12. T. Lindeberg, "On scale selection for differential operators," in Proc. 8th Scand. Conf. Image Anal., Tromso, Norway, 1993, pp. 857-866.
13. R. Hempel, "The MPI standard for message passing," in Proc. Int. Conf. Exhib. High-Perform. Comput. Netw. Vol.II: Netw. ser. Lecture Notes in Computer Science, Berlin: Springer-Verlag, 1994, vol.797, pp. 247-252.
14. R. Deriche, "Recursively implementing the gaussian and its derivatives," Unite de Recherche INRIA-Sophia Antipolis, Tech. Rep. 1893, 1993..
15. Wilcoxon, "Individual comparisons by ranking methods," Biometrics Bull., vol.1, pp. 80-83, 1945.
16. G. M. Amdahl, "Validity of the single processor approach to achieving large scale computing capabilities," in Proc. AFIPS Conf., 1967, vol.30, pp. 483-485.