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磁共振成像中的特征图像滤波:在异常胸壁中的应用

Eigenimage filtering in MR imaging: an application in the abnormal chest wall.

作者信息

Haggar A M, Windham J P, Reimann D A, Hearshen D O, Froelich J W

机构信息

Department of Diagnostic Radiology and Medical Imaging, Henry Ford Hospital, Detroit, Michigan 48202.

出版信息

Magn Reson Med. 1989 Jul;11(1):85-97. doi: 10.1002/mrm.1910110108.

DOI:10.1002/mrm.1910110108
PMID:2747519
Abstract

A postprocessing linear filter was applied to spin-echo images on 10 patients with known or suspected chest wall invasion due to bronchogenic carcinoma. This technique known as eigenimage filtering allows selective feature extraction of suspected abnormalities from conventional MR images. The final result is an image with marked increased contrast range through enhancement of a desired process (tumor) with suppression of an interfering process (e.g., normal surrounding tissue). This preliminary work demonstrates the ease with which the technique may be implemented, the contrast enhancement obtained between the desired and the interfering feature in the final eigenimage, and its ability to correct for partial volume averaging effects. Also demonstrated are artifacts that can interfere with the interpretation of the eigenimage and a method for minimizing these artifacts in the final eigenimage.

摘要

对10例已知或疑似因支气管源性癌侵犯胸壁的患者的自旋回波图像应用了一种后处理线性滤波器。这种称为特征图像滤波的技术能够从传统磁共振图像中选择性地提取疑似异常特征。最终结果是一幅图像,通过增强期望的过程(肿瘤)并抑制干扰过程(例如正常周围组织),其对比度范围显著增加。这项初步工作展示了该技术实施的简便性、最终特征图像中期望特征与干扰特征之间获得的对比度增强,以及其校正部分容积平均效应的能力。还展示了可能干扰特征图像解读的伪影以及在最终特征图像中最小化这些伪影的方法。

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Eigenimage filtering in MR imaging: an application in the abnormal chest wall.磁共振成像中的特征图像滤波:在异常胸壁中的应用
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Bronchogenic carcinoma invasion of the chest wall: evaluation with dynamic cine MRI during breathing.支气管源性癌侵犯胸壁:呼吸期间动态电影磁共振成像评估
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