Automatic segmentation method for lung and heart region based on 3D region growing and template matching technique

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  • 3次元リージョングローイングとテンプレート・マッチングを用いたCT画像からの肺臓・心臓領域の自動抽出
  • 3ジゲン リージョングローイング ト テンプレート マッチング オ モチイタ CT ガゾウ カラ ノ ハイゾウ シンゾウ リョウイキ ノ ジドウ チュウシュツ

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Abstract

Recently, various imaging equipment have been introduced into medical imaging fields. Especially, MDCT is one of the most useful diagnosis systems because it provides a high resolution image to medical doctors. Accordingly, many related image processing techniques are proposed into medical fields for extraction of abnormal area. In the medical image processing field, segmentation is one of the most important problems for analyzing abnormalities. Many related segmentation techniques have been developed for automatic extraction of ROI. In this paper, we propose a new technique for automatic extraction of the multi organs on the breast MDCT images employing the 3D region growing and template matching technique. We apply the proposed technique for extraction of lung and heart region to six CT Cases and satisfactory results are achieved.

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