Parallel Multiscale Feature Extraction and Region Growing: Application in Retinal Blood Vessel Detection

被引:119
作者
Palomera-Perez, Miguel A. [1 ]
Elena Martinez-Perez, M. [2 ]
Benitez-Perez, Hector [1 ]
Luis Ortega-Arjona, Jorge [3 ]
机构
[1] Univ Nacl Autonoma Mexico, Inst Invest Matemat Aplicadas & Sistemas, Dept Comp Syst Engn & Automatizat, Mexico City 01600, DF, Mexico
[2] Univ Nacl Autonoma Mexico, Inst Invest Matemat Aplicadas & Sistemas, Dept Comp Sci, Mexico City 01000, DF, Mexico
[3] Univ Nacl Autonoma Mexico, Dept Math, Fac Sci, Mexico City 01000, DF, Mexico
来源
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE | 2010年 / 14卷 / 02期
关键词
Data processing; distributed algorithms; image analysis; image processing; image segmentation; parallel programming; SEGMENTATION; ABNORMALITIES; DISEASE; IMAGES;
D O I
10.1109/TITB.2009.2036604
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a parallel implementation based on insight segmentation and registration toolkit for a multiscale feature extraction and region growing algorithm, applied to retinal blood vessels segmentation. This implementation is capable of achieving an accuracy (Ac) comparable to its serial counterpart ( about 92%), but 8 to 10 times faster. In this paper, the Ac of this parallel implementation is evaluated by comparison with expert manual segmentation ( obtained from public databases). On the other hand, its performance is compared with previous published serial implementations. Both these characteristics make this parallel implementation feasible for the analysis of a larger amount of high-resolution retinal images, achieving a faster and high-quality segmentation of retinal blood vessels.
引用
收藏
页码:500 / 506
页数:7
相关论文
共 16 条
[1]  
Amdahl, 1967, AFIPS C P, P483, DOI DOI 10.1145/1465482.1465560
[2]   Grid enabled magnetic resonance scanners for near real-time medical image processing [J].
Crane, Jason C. ;
Crawford, Forrest W. ;
Nelson, Sarah J. .
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2006, 66 (12) :1524-1533
[3]  
DERICHE R, 1993, 1893 UN RECH INRIA S
[4]  
Eberly D., 1996, Ridges in Image and Data Analysis. Computational Imaging and Vision
[5]  
HEMPEL R, 1994, LECT NOTES COMPUTER, V797, P247
[6]   Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response [J].
Hoover, A ;
Kouznetsova, V ;
Goldbaum, M .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2000, 19 (03) :203-210
[7]  
Ibanez L., 2003, ITK SOFTWARE GUIDE 2
[8]   Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images [J].
Jiang, XY ;
Mojon, D .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2003, 25 (01) :131-137
[9]  
Lindeberg T., 1993, Proceedings of the 8th Scandinavian Conference on Image Analysis, P857
[10]   Improvement of a retinal blood vessel segmentation method using the Insight Segmentation and Registration Toolkit (ITK) [J].
Martinez-Perez, M. Elena ;
Hughes, Alun. D. ;
Thom, Simon A. ;
Parker, Kim H. .
2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, :892-895