DocumentCode :
761433
Title :
Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs
Author :
Quellec, Gwenole ; Lamard, Mathieu ; Josselin, Pierre Marie ; Cazuguel, Guy ; Cochener, Beatrice ; Roux, Christian
Author_Institution :
Inst. TELECOM, TELECOM Bretag, Brest
Volume :
27
Issue :
9
fYear :
2008
Firstpage :
1230
Lastpage :
1241
Abstract :
In this paper, we propose an automatic method to detect microaneurysms in retina photographs. Microaneurysms are the most frequent and usually the first lesions to appear as a consequence of diabetic retinopathy. So, their detection is necessary for both screening the pathology and follow up (progression measurement). Automating this task, which is currently performed manually, would bring more objectivity and reproducibility. We propose to detect them by locally matching a lesion template in sub- bands of wavelet transformed images. To improve the method performance, we have searched for the best adapted wavelet within the lifting scheme framework. The optimization process is based on a genetic algorithm followed by Powell´s direction set descent. Results are evaluated on 120 retinal images analyzed by an expert and the optimal wavelet is compared to different conventional mother wavelets. These images are of three different modalities: there are color photographs, green filtered photographs, and angiographs. Depending on the imaging modality, microaneurysms were detected with a sensitivity of respectively 89.62%, 90.24%, and 93.74% and a positive predictive value of respectively 89.50%, 89.75%, and 91.67%, which is better than previously published methods.
Keywords :
biomedical optical imaging; diagnostic radiography; diseases; eye; genetic algorithms; medical image processing; wavelet transforms; angiographs; color photographs; diabetic retinopathy; genetic algorithm; green filtered photographs; microaneurysm detection; optimal wavelet transform; optimization; retina photographs; Diabetes; Genetic algorithms; Image analysis; Lesions; Pathology; Reproducibility of results; Retina; Retinopathy; Wavelet analysis; Wavelet transforms; Diabetic retinopathy; diabetic retinopathy; genetic algorithm; microaneurysms; optimal wavelet transform; template matching; Algorithms; Aneurysm; Artificial Intelligence; Diabetic Retinopathy; Fluorescein Angiography; Humans; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Photography; Reproducibility of Results; Retinal Artery; Retinoscopy; Sensitivity and Specificity;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2008.920619
Filename :
4547597
Link To Document :
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