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Breast imaging with ultrasound tomography: a comparative study with MRI

机译:超声层析成像的乳房成像:MRI的比较研究

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The purpose of this study was to investigate the performance of an ultrasound tomography (UST) prototype relative to magnetic resonance (MR) for imaging overall breast anatomy and accentuating tumors relative to background tissue. The study was HIPAA compliant, approved by the Institutional Review Board, and performed after obtaining the requisite informed consent. Twenty-three patients were imaged with MR and the UST prototype. T_1 weighted images with fat saturation, with and without gadolinium enhancement, were used to examine anatomical structures and tumors, while T_2 weighted images were used to identify cysts. The UST scans generated sound speed, attenuation, and reflection images. A qualitative visual comparison of the MRI and UST images was then used to identify anatomical similarities. A more focused approach that involved a comparison of reported masses, lesion volumes, and breast density was used to quantify the findings from the visual assessment. Our acoustic tomography prototype imaged distributions of fibrous stroma, parenchyma, fatty tissues, and lesions in patterns similar to those seen in the MR images. The range of thresholds required to establish tumor volume equivalency between MRI and UST suggested that a universal threshold for isolating masses relative to background tissue is feasible with UST. UST has demonstrated the ability to visualize and characterize breast tissues in a manner comparable to MRI. Thresholding techniques accentuate masses relative to background anatomy, which may prove clinically useful for early cancer detection.
机译:本研究的目的是研究超声断层摄影(UST)原型相对于磁共振(MR)相对于背景组织成像的磁共振(MR)。该研究是由机构审查委员会批准的HIPAA,并在获得必要的知情同意后进行。用MR和UST原型成像二十三名患者。使用脂肪饱和度的T_1加权图像,有没有钆增强,用于检查解剖结构和肿瘤,而T_2加权图像用于鉴定囊肿。 UST扫描产生声速,衰减和反射图像。然后使用MRI和UST图像的定性视觉比较来识别解剖学相似性。一种涉及报告的群众,病变体积和乳房密度的比较的更加聚焦的方法用于量化视觉评估的结果。我们的声学断层扫描原型成像纤维状基质,实质,脂肪组织的分布,以及类似于在MR图像中所见的模式的模式中的病变。建立MRI和UST之间建立肿瘤体积等效所需的阈值的范围表明,用于隔离相对于背景组织的群体的通用阈值与UST是可行的。 UST证明了以与MRI相当的方式可视化和表征乳腺组织的能力。阈值化技术激发了相对于背景解剖学的群体,这可能证明临床上可用于早期癌症检测。

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