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Breast Delineation using Active Contours to Facilitate Coregistration of Serial MRI Studies for Therapy Response Evaluation

机译:使用主动轮廓线勾画乳房轮廓以促进对治疗反应评估的系列MRI研究的掌握

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摘要

MRI is the most accurate imaging modality to monitor response of breast cancer undergoing neoadjuvant chemotherapy, by comparing the tumor volume measured in follow up MRI, taken during the course of therapy, to its baseline value. Due to the deformable nature of the breast, its'' shape in MR acquisitions taken in different studies varies significantly. If these images can be co-registered, the location of lesion in each study can be matched. Breast MR images collected often include large areas outside the breast, such as the thoracic region and surrounding air, which may pose a hindrance to registration algorithms. In this paper, we describe a segmentation algorithm to delineate the breast region from the chest by using the invariant, rigid structure such as the chest, as opposed to the use of varying breast outlines employed in currently available solutions. This ensures robustness and reproducibility of our algorithm.
机译:通过将在治疗过程中进行的后续MRI测量的肿瘤体积与其基线值进行比较,MRI是监测正在接受新辅助化疗的乳腺癌反应的最准确的影像学方法。由于乳房的可变形性,在不同研究中进行的MR采集中其乳房的形状差异很大。如果可以共同注册这些图像,则可以匹配每个研究中病变的位置。收集的乳房MR图像通常包括乳房外部的大区域,例如胸腔区域和周围的空气,这可能会对配准算法造成障碍。在本文中,我们描述了一种分割算法,通过使用不变的刚性结构(例如胸部)来从胸部描绘胸部区域,这与在当前可用的解决方案中使用变化的胸部轮廓相反。这确保了我们算法的鲁棒性和可重复性。

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