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

R. Chittineni, M. Su, O. Nalcioglu
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引用次数: 5

Abstract

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.
使用活动轮廓线进行乳房描绘,以促进治疗反应评估的系列MRI研究的共同注册
通过将治疗过程中随访MRI测量的肿瘤体积与其基线值进行比较,MRI是监测乳腺癌接受新辅助化疗反应的最准确的成像方式。由于乳房的可变形性,在不同的研究中,其形状在磁共振成像中有很大的不同。如果可以将这些图像进行共配准,则可以匹配每个研究中病变的位置。采集的乳房MR图像通常包括乳房外的大片区域,如胸部区域和周围空气,这可能会对配准算法造成阻碍。在本文中,我们描述了一种分割算法,通过使用不变的、刚性的结构(如胸部)来描绘乳房区域,而不是使用当前可用的解决方案中使用的不同乳房轮廓。这保证了算法的稳健性和可重复性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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