Automatic registration of ICG images using mutual information and perfusion analysis

Namkug Kim, Jong Mo Seo, June Goo Lee, Jong-Hyo Kim, Kwangsuk Park, Hyeonggon Yu, Youngsuk Yu, Hum Chung

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

Introduction: Indocyanin green fundus angiographic images (ICGA) of the eyes is useful method in detecting and characterizing the choroidal neovascularization (CNV), which is the major cause of the blindness over 65 years of age. To investigate the quantitative analysis of the blood flow on ICGA, systematic approach for automatic registration of using mutual information and a quantitative analysis was developed. Methods: Intermittent sequential images of indocyanin green angiography were acquired by Heidelberg retinal angiography that uses the laser scanning system for the image acquisition. Misalignment of the each image generated by the minute eye movement of the patients was corrected by the mutual information method because the distribution of the contrast media on image is changing throughout the time sequences. Several region of interest (ROI) were selected by a physician and the intensities of the selected region were plotted according to the time sequences. Results: The registration of ICGA time sequential images is required not only translate transform but also rotational transform. Signal intensities showed variation based on gamma-variate function depending on ROIs and capillary vessels show more variance of signal intensity than major vessels. CNV showed intermediate variance of signal intensity and prolonged transit time. Conclusion: The resulting registered images can be used not only for quantitative analysis, but also for perfusion analysis. Various investigative approached on CNV using this method will be helpful in the characterization of the lesion and follow-up.

Original languageEnglish
Article number140
Pages (from-to)1234-1243
Number of pages10
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume5747
Issue numberII
DOIs
StatePublished - 25 Aug 2005
EventMedical Imaging 2005 - Image Processing - San Diego, CA, United States
Duration: 13 Feb 200517 Feb 2005

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Angiography
Chemical analysis
Contrast media
Eye movements
Image acquisition
Blood
Scanning
Lasers

Keywords

  • Mutual information
  • Perfusion
  • Rigid registration

Cite this

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title = "Automatic registration of ICG images using mutual information and perfusion analysis",
abstract = "Introduction: Indocyanin green fundus angiographic images (ICGA) of the eyes is useful method in detecting and characterizing the choroidal neovascularization (CNV), which is the major cause of the blindness over 65 years of age. To investigate the quantitative analysis of the blood flow on ICGA, systematic approach for automatic registration of using mutual information and a quantitative analysis was developed. Methods: Intermittent sequential images of indocyanin green angiography were acquired by Heidelberg retinal angiography that uses the laser scanning system for the image acquisition. Misalignment of the each image generated by the minute eye movement of the patients was corrected by the mutual information method because the distribution of the contrast media on image is changing throughout the time sequences. Several region of interest (ROI) were selected by a physician and the intensities of the selected region were plotted according to the time sequences. Results: The registration of ICGA time sequential images is required not only translate transform but also rotational transform. Signal intensities showed variation based on gamma-variate function depending on ROIs and capillary vessels show more variance of signal intensity than major vessels. CNV showed intermediate variance of signal intensity and prolonged transit time. Conclusion: The resulting registered images can be used not only for quantitative analysis, but also for perfusion analysis. Various investigative approached on CNV using this method will be helpful in the characterization of the lesion and follow-up.",
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Automatic registration of ICG images using mutual information and perfusion analysis. / Kim, Namkug; Seo, Jong Mo; Lee, June Goo; Kim, Jong-Hyo; Park, Kwangsuk; Yu, Hyeonggon; Yu, Youngsuk; Chung, Hum.

In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 5747, No. II, 140, 25.08.2005, p. 1234-1243.

Research output: Contribution to journalConference articleResearchpeer-review

TY - JOUR

T1 - Automatic registration of ICG images using mutual information and perfusion analysis

AU - Kim, Namkug

AU - Seo, Jong Mo

AU - Lee, June Goo

AU - Kim, Jong-Hyo

AU - Park, Kwangsuk

AU - Yu, Hyeonggon

AU - Yu, Youngsuk

AU - Chung, Hum

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