Cell-Based Region Competition for Ultrasound Image Segmentation

建構於細胞區塊區域競爭之超音波影像分割技術

陳中明(Chung-Ming Chen) ； 盧鴻興(Henry Horng-Shing Lu) ； 蘇柄薰(Bin-Shin Su)

《Journal of Medical and Biological Engineering》 22卷2期 (2002/06) Pp. 59-66

摘要

為了偵測超音波影像中，多個具有高度曲折邊緣之物體的邊緣，本文基於分水嶺轉換與區域競爭的概念，提出以細胞單元為基礎的區域競爭演算法。在此演算法中，我們首先使用多解析度Gaussian濾波器消除雜訊，並同時保存邊界訊息。接著再以Sobel濾波器產生梯度圖。然後使用梯度圖，以分水嶺轉換之浸入模擬產生細胞單元。再根據斑紋的可能性測試進行以細胞單元為基礎的區域競爭。本研究以兩種影像評估此演算法的效能，一為模擬假體，另一為臨床超音波影像。實驗結果顯示本文所提出的演算法能有效的同時分割出多個具有高度曲折邊緣之物體的邊緣。

關鍵字

超音波影像分割 ； 區域競爭 ； 分水嶺轉換 ； 多解析度Gaussian濾波器 ； 高度曲折邊緣

並列摘要

A new approach, cell-based region competition, based on watershed transform and region competition is proposed to detect the multiple objects of interest with highly winding contours in the ultrasound images. Multi-scale Gaussian filters are used to remove the speckle in the ultrasound image and preserve the edge information. Sobel filter are then applied to generate a gradient map. Immersion simulation of watershed transform is used to generate initial cells on the gradient map. Cell-based region merging and splitting are performed on the original ultrasound images based on the likelihood ratio tests of speckle noises. Two types of images have been used to evaluate the performance of the proposed cell-based region competition scheme, namely, the simulated phantom images with the speckle and the clinical ultrasound images. The experimental results on both types of images demonstrate the practical feasibility of the proposed cell-based region competition scheme for ultrasound image segmentation.

並列關鍵字

Ultrasound Image Segmentation ； Region Competition ； Watershed Transform ； Multi-scale Gaussian filtering ； Winding Contour