A Detection Method for Blurred Regions in Radiographs

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  • 医用X線画像における不鋭領域の検出法
  • イヨウ X センガゾウ ニ オケル フエイリョウイキ ノ ケンシュツホウ

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Abstract

In this paper, we propose a detection method for blurred regions in radiographs. The method involves edge detection using a Sobel filter, manually determining the region of interest (ROI), feature calculation, and classification using a support vector machine. We applied our method to 14 phantom images (7 normal images, 7 blurred images) and 14 clinical images (12 normal images, 2 blurred images). As a result, the average classification accuracies of ROIs with blurring and ROIs without blurring were 98% and 90% for phantom images and clinical images, respectively.

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