Automatic Evaluation of Choroidal Neovascularization in Fluorescein Angiography

被引:0
作者
Lin, Kai-Shun [1 ]
Tsai, Chia-Ling [2 ]
Chen, Shih-Jen [3 ]
Lin, Wei-Yang [1 ]
机构
[1] National Chung Cheng University
[2] Iona College, New Rochelle
[3] Taipei Veterans General Hospital
来源
Smart Innovation, Systems and Technologies | 2013年 / 21卷
关键词
Hospital data processing;
D O I
10.1007/978-3-642-35473-1_38
中图分类号
学科分类号
摘要
In this paper, we propose a system for generating Choroidal NeoVas-cularization (CNV) lesion severity map and evaluating the extent of classic CNV, occult CNV or Pigment Epithelial Detachment (PED) in a Fluorescein Angiog-raphy (FA) sequence. Given an FA sequence, our system first warps each frame to a common coordinate system. For each pixel location in the common coordi-nate system, we use intensity values, intensity changes and area of fluorescence leakage as feature vector for SVM classification. Then, our system generates a severity map associated with the input FA sequence. The severity map will serve to help ophthalmologist perform evaluation of CNV lesion in FA sequence. We have validated our system using patient data from Taipei Veterans General Hospi-tal, Taiwan. The testing data contain 3 classic CNVs, 2 occult CNVs and 2 PEDs. The preliminary results show that our method achieves a promising recognition rate of 85.7%. © 2013 Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:377 / 382
页数:5
相关论文
共 12 条
  • [1] Bressler N.M., Bressler S.B., Fine S.L., Age-related macular degeneration, Surv. Ophthal-mol, 32, pp. 375-413, (1988)
  • [2] Amitha D., Danis Ronald P., Fluorescein angiography in neovascular amd, Review of Oph-thalmology, 15, (2008)
  • [3] Hogg R., Curry E., Muldrew A., Winder J., Stevenson M., McClure M., Chakravarthy U., Identification of lesion components that influence visual function in age related macular degeneration, Br. J. Ophthalmol, 85, pp. 609-614, (2003)
  • [4] Jaakkola A., Tommila P., Laatikainen L., Immonen I., Grading choroidal neovascular membrane regression after strontium plaque radiotherapy: Masked subjective evaluation vs. planimetry, Eur. J. Ophthalmol, 11, pp. 269-276, (2001)
  • [5] Tsai C.-L., Yang Y.-L., Chen S.-J., Lin K.-S., Chan C.-H., Lin W.-Y., Automatic char-acterization and segmentation of classic choroidal neovascularization using adaboost for su-pervised learning, Invest. Ophthalmol. Vis. Sci, 52, pp. 2767-2774, (2011)
  • [6] Fahmy A.S., Abdelmoula W.M., Mahfouz A.E., Shah S.M., Segmentation of choroidal neovascularization lesions in fluorescein angiograms using parametric modeling of the in-tensity variation, ISBI, pp. 665-668, (2011)
  • [7] Chakravarthy U., Walsh A.C., Muldrew A., Updike P.G., Barbour T., Sadda S.R., Quanti-tative fluorescein angiographic analysis of choroidal neovascular membranes: Validation and correlation with visual function, Invest. Ophthalmol. Vis. Sci, 48, pp. 349-354, (2007)
  • [8] Shah S.M., Tatlipinar S., Quinlan E., Et al., Dynamic and quantitative analysis of choroidal neovascularization by fluorescein angiography, Invest. Ophthalmol. Vis. Sci, 47, pp. 5460-5468, (2006)
  • [9] Subfoveal neovascular lesions in age-related mac-ular degeneration: Guidelines for evaluation and treatment in the macular photocoagulation study, Arch. Ophthalmol, 109, pp. 1242-1257, (1991)
  • [10] Berger J., Quantitative, spatio-temporal image analysis of fundus features in age-related macular degeneration, SPIE Ophthalmic Technol, pp. 48-53, (1998)