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高场 MRI 检测乳腺微钙化

Detecting breast microcalcifications with high-field MRI.

机构信息

Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands.

出版信息

NMR Biomed. 2014 May;27(5):539-46. doi: 10.1002/nbm.3089. Epub 2014 Feb 17.

Abstract

The aim of this study was to detect microcalcifications in human whole breast specimens using high-field MRI. Four mastectomy specimens, obtained with approval of the institutional review board, were subjected to gradient-echo MRI acquisitions on a high-field MR scanner. The phase derivative was used to detect microcalcifications. The echo time and imaging resolution were varied to study the sensitivity of the proposed method. Computed tomography images of the mastectomy specimens and prior acquired mammography images were used to validate the results. A template matching algorithm was designed to detect microcalcifications automatically. The three spatial derivatives of the signal phase surrounding a field-perturbing object allowed three-dimensional localization, as well as the discrimination of diamagnetic field-perturbing objects, such as calcifications, and paramagnetic field-perturbing structures, e.g. blood. A longer echo time enabled smaller disturbances to be detected, but also resulted in shading as a result of other field-disturbing materials. A higher imaging resolution increased the detection sensitivity. Microcalcifications in a linear branching configuration that spanned over 8 mm in length were detected. After manual correction, the automatic detection tool identified up to 18 microcalcifications within the samples, which was in close agreement with the number of microcalcifications found on previously acquired in vivo mammography images. Microcalcifications can be detected by MRI in human whole breast specimens by the application of phase derivative imaging.

摘要

本研究旨在使用高场 MRI 检测人全乳标本中的微钙化。 四个乳房切除术标本经机构审查委员会批准后,在高场 MR 扫描仪上进行梯度回波 MRI 采集。 使用相位导数来检测微钙化。 改变回波时间和成像分辨率以研究该方法的灵敏度。 使用乳房切除术标本的计算机断层扫描图像和先前获得的乳房 X 线照片来验证结果。 设计了模板匹配算法来自动检测微钙化。 围绕磁场干扰物体的信号相位的三个空间导数允许进行三维定位,以及区分顺磁性磁场干扰物体(例如钙化)和抗磁性磁场干扰结构(例如血液)。 较长的回波时间可以检测到较小的干扰,但也会由于其他干扰材料而导致阴影。 更高的成像分辨率提高了检测灵敏度。 检测到长度超过 8 毫米的线性分支结构的微钙化。 经过手动校正后,自动检测工具可以在样本中识别多达 18 个微钙化,这与先前在体内获得的乳房 X 线照片上发现的微钙化数量非常吻合。 通过应用相位导数成像,可以在人全乳标本中通过 MRI 检测到微钙化。

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