Literature DB >> 8744848

Computer assisted image analysis using the subtraction method in indocyanine green angiography.

T Miki1, K Shiraki, T Kohno, M Moriwaki, A Obana.   

Abstract

The choroidal vessels are three dimensionally distributed and very complex in their patterns. They often appear to be overlaid in indocyanine green (ICG) angiograms so it is harder to analyze ICG angiography than fluorescein angiography. When an earlier frame is subtracted from a later frame in a sequence of angiograms, the fluorescence which has increased during the time between the two frames can theoretically be demonstrated. We applied computer-assisted image subtraction methods in selected clinical cases of directly acquired digital ICG angiography to demonstrate how this method works. We used software already installed in an IMAGEnet computer system (Topcon) for image subtraction. We applied the subtraction technique in 18 cases with various diseases. When two images with a time difference of several seconds were subtracted, filling of the choriocapillaris, the neovascularization or the pathological vessels could be observed. When the images had a time difference of several minutes, intrachoroidal dye leakage could be seen more clearly. This method is very helpful for analyzing pathological changes in ICG angiography in clinical cases, when two images are selected appropriately.

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Year:  1996        PMID: 8744848     DOI: 10.1177/112067219600600108

Source DB:  PubMed          Journal:  Eur J Ophthalmol        ISSN: 1120-6721            Impact factor:   1.922


  3 in total

1.  Indocyanine green angiography in choroidal osteoma.

Authors:  B A Lafaut; C Mestdagh; T Kohno; A Gaudric; J J De Laey
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1997-05       Impact factor: 3.117

2.  Subtraction ICG angiography in Harada's disease.

Authors:  T Kohno; T Miki; K Shiraki; K Kano; M Matsushita; K Hayashi; J J De Laey
Journal:  Br J Ophthalmol       Date:  1999-07       Impact factor: 4.638

Review 3.  Indocyanine green angiography in posterior uveitis.

Authors:  Rupesh V Agrawal; Jyotirmay Biswas; Dinesh Gunasekaran
Journal:  Indian J Ophthalmol       Date:  2013-04       Impact factor: 1.848

  3 in total

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