Automatic Estimation of Distribution of Cone Cells to Vessel Locations Using Retina Image

JI Yuanting, MOROOKA Ken'ichi, MARTINEZ MOZOS Oscar, TSUJI Tokuo, KURAZUME Ryo

Bibliographic Information

Other Title

網膜画像を用いた血管位置に対する錐体細胞分布の自動推定(ポスター発表2,計算解剖モデルに基づく診断・治療支援,医用画像処理一般)

Description

This paper proposes a method to automatically estimate the distribution patterns of cone cells in a given retina image. As to the spatial relationship between cones and vessels in the retina image, there are three types of the distribution patterns: positive correlation distribution (PCD), negative correlation distribution (NCD), and random distribution (RD). PCD and NCD indicate that the cones tend to be close to or far from the vessels. While the cone cells do not have significant correlation with vessels, the cone distribution is regarded as RD. In our method, a sample image with RD is generated by the vessels extracted from the image, and the virtual cells are selected randomly from the image. Repeating the selection process, many sample images with RDare used to estimate the distribution range of RD. When the distribution of the original cells is above the upper limit or below the lower limit of the RD distribution, the cell distribution is NCD or PCD. Otherwise, the cell distribution is regarded as RD.

Journal

IEICE technical report.

IEICE technical report. 113 (410), 281-284, 2014-01-19

The Institute of Electronics, Information and Communication Engineers

Keywords

Details 詳細情報について

CRID: 1571698602812238592

NII Article ID: 110009821279

NII Book ID: AA11370335

Text Lang: ja

Data Source

CiNii Articles

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