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通过使用独立的漫射光学和乳腺X线成像进行稳健的多模态数据融合来表征乳腺病变。

Characterizing breast lesions through robust multimodal data fusion using independent diffuse optical and x-ray breast imaging.

作者信息

Deng Bin, Fradkin Maxim, Rouet Jean-Michel, Moore Richard H, Kopans Daniel B, Boas David A, Lundqvist Mats, Fang Qianqian

机构信息

Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129, United States.

Philips Research Medisys, 33 Rue de Verdun, Suresnes 92156, France.

出版信息

J Biomed Opt. 2015 Aug;20(8):80502. doi: 10.1117/1.JBO.20.8.080502.

Abstract

To enable tissue function-based tumor diagnosis over the large number of existing digital mammography systems worldwide, we propose a cost-effective and robust approach to incorporate tomographic optical tissue characterization with separately acquired digital mammograms. Using a flexible contour-based registration algorithm, we were able to incorporate an independently measured two-dimensional x-ray mammogram as structural priors in a joint optical/x-ray image reconstruction, resulting in improved spatial details in the optical images and robust optical property estimation. We validated this approach with a retrospective clinical study of 67 patients, including 30 malignant and 37 benign cases, and demonstrated that the proposed approach can help to distinguish malignant from solid benign lesions and fibroglandular tissues, with a performance comparable to the approach using spatially coregistered optical/x-ray measurements.

摘要

为了在全球大量现有的数字乳腺摄影系统上实现基于组织功能的肿瘤诊断,我们提出了一种经济高效且稳健的方法,将断层光学组织表征与单独获取的数字乳腺摄影相结合。使用基于灵活轮廓的配准算法,我们能够将独立测量的二维X射线乳腺摄影作为结构先验信息纳入联合光学/X射线图像重建中,从而改善光学图像中的空间细节并实现稳健的光学特性估计。我们通过对67例患者(包括30例恶性病例和37例良性病例)的回顾性临床研究验证了该方法,并证明所提出的方法有助于区分恶性病变与实性良性病变以及纤维腺组织,其性能与使用空间配准的光学/X射线测量方法相当。

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