Mammography, ultrasound and magnetic resonance imaging are commonly used to diagnose breast cancer. However these imaging techniques produce a significant number of false positive results and lead to unnecessary biopsies. According to the American Cancer Society, more than 50% of breast biopsies turn out negative. Complementary non invasive diagnostic techniques, such as X-ray Diffraction (XRD), are explored to reduce this number.

In this paper we describe a novel XRD collimation design dedicated to depth-resolved tissue characterization. Experimental results obtained with phantoms composed of beef adipose and muscle tissues are presented.

中文翻译：

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用于乳腺组织表征的X射线衍射设置：对牛肉模型的实验验证

乳腺摄影，超声和磁共振成像通常用于诊断乳腺癌。但是，这些成像技术会产生大量的假阳性结果，并导致不必要的活检。根据美国癌症协会的数据，超过50％的乳房活检结果为阴性。为了减少这个数目，人们探索了互补的非侵入性诊断技术，例如X射线衍射（XRD）。

在本文中，我们描述了一种新颖的XRD准直设计，专门用于深度分辨的组织表征。呈现了用由牛肉脂肪和肌肉组织组成的幻象获得的实验结果。