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首页> 外文期刊>Medical Physics >Automatic registration between reference and on-board digital tomosynthesis images for positioning verification.
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Automatic registration between reference and on-board digital tomosynthesis images for positioning verification.

机译:在参考和机载数字断层合成图像之间自动配准,以进行位置验证。

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The authors developed a hybrid multiresolution rigid-body registration technique to automatically register reference digital tomosynthesis (DTS) images with on-board DTS images to guide patient positioning in radiation therapy. This hybrid registration technique uses a faster but less accurate static method to achieve an initial registration, followed by a slower but more accurate adaptive method to fine tune the registration. A multiresolution scheme is employed in the registration to further improve the registration accuracy, robustness, and efficiency. Normalized mutual information is selected as the criterion for the similarity measure and the downhill simplex method is used as the search engine. This technique was tested using image data both from an anthropomorphic chest phantom and from eight head-and-neck cancer patients. The effects of the scan angle and the region-of-interest (ROI) size on the registration accuracy and robustness were investigated. The necessity of using the adaptive registration method in the hybrid technique was validated by comparing the results of the static method and the hybrid method. With a 44 degrees scan angle and a large ROI covering the entire DTS volume, the average of the registration capture ranges in single-axis simulations was between -31 and +34 deg for rotations and between -89 and +78 mm for translations in the phantom study, and between -38 and +38 deg for rotations and between -58 and +65 mm for translations in the patient study. Decreasing the DTS scan angle from 44 degrees to 22 degrees mainly degraded the registration accuracy and robustness for the out-of-plane rotations. Decreasing the ROI size from the entire DTS volume to the volume surrounding the spinal cord reduced the capture ranges to between -23 and +18 deg for rotations and between -33 and +43 mm for translations in the phantom study, and between -18 and +25 deg for rotations and between -35 and +39 mm for translations in the patient study. Results also showed that the hybrid registration technique had much larger capture ranges than the static method alone in registering the out-of-plane rotations.
机译:作者开发了一种混合的多分辨率刚体配准技术,可以自动将参考数字断层合成(DTS)图像与机载DTS图像配准,以指导患者在放射治疗中的位置。这种混合配准技术使用较快但准确度较低的静态方法来实现初始配准,然后使用较慢但更准确的自适应方法来微调配准。在配准中采用多分辨率方案以进一步提高配准精度,鲁棒性和效率。选择归一化的互信息作为相似性度量的标准,并使用下坡单纯形法作为搜索引擎。使用来自拟人化的人体模型和八位头颈癌患者的图像数据对这项技术进行了测试。研究了扫描角度和感兴趣区域(ROI)大小对配准精度和鲁棒性的影响。通过比较静态方法和混合方法的结果,验证了在混合技术中使用自适应配准方法的必要性。扫描角度为44度,并且大的ROI覆盖了整个DTS体积,单轴模拟中的套准捕获范围的平均值在旋转时介于-31至+34度之间,对于平移时在-89至+78 mm之间。幻像研究,患者研究中旋转时在-38至+38度之间,平移时在-58至+65毫米之间。将DTS扫描角度从44度减小到22度主要会降低平面外旋转的套准精度和鲁棒性。将ROI的大小从整个DTS体积减小到脊髓周围的体积,将旋转的捕获范围减小到-23至+18度之间,在幻像研究中将捕获范围减小至-33至+43毫米之间,并将-18至在患者研究中,旋转角度为+25度,平移角度为-35至+39毫米。结果还表明,在配准平面外旋转时,混合配准技术比单独的静态方法具有更大的捕获范围。

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