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首页> 外文会议>Multimodal biomedical imaging VIII >Diagnosing breast cancer using independent diffuse optical tomography and x-ray mammography scans
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Diagnosing breast cancer using independent diffuse optical tomography and x-ray mammography scans

机译：使用独立的漫射光学断层扫描和X线乳房X线照片扫描诊断乳腺癌

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We have previously demonstrated the utilization of spatially co-registered diffuse optical tomography (DOT) and digital breast tomosynthesis (DBT) for joint breast cancer diagnosis. However, clinical implementation of such a multi-modality approach may require development of integrated DOT/DBT imaging scanners, which can be costly and time-consuming. Exploring effective image registration methods that combine the diagnostic information from a standalone DOT measurement and a separate mammogram can be a cost-effective solution, which may eventually enable adding functional optical assessment to all previously installed digital mammography systems. In this study, we investigate a contour-based image registration method to convert independent optical and x-ray scans into co-registered datasets that can benefit from a joint image analysis. The breast surface used in 3D optical DOT reconstruction is registered with the breast contour line extracted from an x-ray mammogram acquired separately. This allows us to map the 2D mammogram to the optical measurement space and build structural constraints for optical image reconstruction. A non-linear reconstruction utilizing structure-priors is then performed to produce hemoglobin maps with improved resolution. To validate this approach, we used a set of tumor patient measurements with simultaneous DOT/DBT and separate 2D mammographic scans. The images recovered from the registration procedure derived from DOT and 2D mammogram present similar image quality compared to those recovered from co-registered DOT/DBT measurements.
机译：先前我们已经证明了空间联合配准的弥散光学层析成像（DOT）和数字乳腺断层合成（DBT）在联合乳腺癌诊断中的应用。但是，这种多模式方法的临床实施可能需要开发集成的DOT / DBT成像扫描仪，这可能既昂贵又耗时。探索有效的图像配准方法，将来自独立DOT测量的诊断信息和单独的乳房X线照片结合起来，可能是一种经济高效的解决方案，最终可以为所有先前安装的数字乳房X线照片系统添加功能性光学评估。在这项研究中，我们研究了基于轮廓的图像配准方法，可将独立的光学和X射线扫描转换为可从联合图像分析中受益的共配准数据集。将3D光学DOT重建中使用的乳房表面与从单独获取的X射线乳房X线照片提取的乳房轮廓线对齐。这使我们能够将2D乳房X线照片映射到光学测量空间，并为光学图像重建建立结构约束。然后执行利用结构先验的非线性重建，以产生具有改善的分辨率的血红蛋白图。为了验证这种方法，我们使用了一组同时进行DOT / DBT和单独的2D乳房X线扫描的肿瘤患者测量。与从共同注册的DOT / DBT测量中恢复的图像相比，从DOT和2D乳房X射线照片得出的配准过程中恢复的图像呈现出相似的图像质量。

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