Computer aided quantification for retinal lesions in patients with moderate and severe non-proliferative diabetic retinopathy: a retrospective cohort study
| Autor: | Xiaofeng Zhang, Huiqun Wu, Guo-Min Zhou, Xingyun Geng, Jiancheng Dong |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Male
medicine.medical_specialty Pathology media_common.quotation_subject Optic disk Microaneurysms Fundus lesions Otsu's method Cohort Studies Lesion symbols.namesake chemistry.chemical_compound Ophthalmology medicine Humans Contrast (vision) Diagnosis Computer-Assisted Aged Retrospective Studies media_common Diabetic Retinopathy business.industry Subretinal Fluid Retinal Vessels Retinal Retrospective cohort study Exudates and Transudates General Medicine Diabetic retinopathy Middle Aged medicine.disease Aneurysm chemistry Exudation symbols Female Adaptive histogram equalization medicine.symptom business Research Article |
| Zdroj: | BMC Ophthalmology |
| ISSN: | 1471-2415 |
| Popis: | Background: Detection of retinal lesions like micro-aneurysms and exudates are important for the clinical diagnosis of diabetes retinopathy. The traditional subjective judgments by clinicians are dependent on their experience and can be subject to lack of consistency and therefore a quantification method is worthwhile. Methods: In this study, 10 moderate non-proliferative diabetes retinopathy (NPDR) patients and 10 severe NPDR ones were retrospectively selected as a cohort. Mathematical morphological methods were used for automatic segmentation of lesions. For exudates detection, images were pre-processed with adaptive histogram equalization to enhance contrast, then binary images for area calculation were obtained by threshold classification. For micro-aneurysms detection, the images were pre-processed by top-hat and bottom-hat transformation, then Otsu method and Hough transform were used to classify micro-aneurysms. Post-processing morphological methods were used to preclude the false positive noise. Results: After segmentation, the area of exuduates divided by optic disk area (exudates/disk ratio) and counts of microaneurysms were quantified and compared between the moderate and severe non-proliferative diabetic retinopathy groups, which had significant difference(P < 0.05). Conclusions: In conclusion, morphological features of lesion might be an image marker for NPDR grading and computer aided quantification of retinal lesion could be a practical way for clinicians to better investigates diabetic retinopathy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink