Abstract | OBJECTIVES: METHODS: This method allows the semiautomatic preprocessing and registering of FAG images. The arterial input function is estimated from the registered set of FAG images using gamma-variate fitting. Then, the parameters can be computed by deconvolution on the basis of truncated singular value decomposition, and they can finally be presented as parametric color images in a combination of three colors, red, green, and blue. RESULTS: After the estimation of arterial input function, the parameters of relative blood flow and mean transit time were computed using deconvolution analysis based on truncated singular value decomposition. CONCLUSIONS: The parametric color image is helpful to interpret the status of retinal blood circulation and provides quantitative data on retina ischemia without interobserver variability. This system easily provides the status of retinal blood circulation both qualitatively and quantitatively. It also helps to standardize FAG interpretation and may contribute to network-based telemedicine systems in the future.
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Authors | Young Jae Kim, Chang Bu Jeong, Jeong-Min Hwang, Hee Kyung Yang, Seung Hyun Lee, Kwang Gi Kim |
Journal | Healthcare informatics research
(Healthc Inform Res)
Vol. 20
Issue 3
Pg. 191-8
(Jul 2014)
ISSN: 2093-3681 [Print] Korea (South) |
PMID | 25152832
(Publication Type: Journal Article)
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