Abbott Rebecca E, Nishimwe Alain, Wiputra Hadi, Breighner Ryan E, Ellingson Arin M
Divisions of Physical Therapy and Rehabilitation Science, Department of Family Medicine and Community Health, University of Minnesota, Minneapolis, MN, 55455, USA.
Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, 55455, USA.
Sci Rep. 2025 Jan 9;15(1):1382. doi: 10.1038/s41598-025-85516-y.
OrthoFusion, an intuitive super-resolution algorithm, is presented in this study to enhance the spatial resolution of clinical CT volumes. The efficacy of OrthoFusion is evaluated, relative to high-resolution CT volumes (ground truth), by assessing image volume and derived bone morphological similarity, as well as its performance in specific applications in 2D-3D registration tasks. Results demonstrate that OrthoFusion significantly reduced segmentation time, while improving structural similarity of bone images and relative accuracy of derived bone model geometries. Moreover, it proved beneficial in the context of biplane videoradiography, enhancing the similarity of digitally reconstructed radiographs to radiographic images and improving the accuracy of relative bony kinematics. OrthoFusion's simplicity, ease of implementation, and generalizability make it a valuable tool for researchers and clinicians seeking high spatial resolution from existing clinical CT data. This study opens new avenues for retrospectively utilizing clinical images for research and advanced clinical purposes, while reducing the need for additional scans, mitigating associated costs and radiation exposure.
本研究提出了一种直观的超分辨率算法OrthoFusion，以提高临床CT容积的空间分辨率。相对于高分辨率CT容积（真实情况），通过评估图像容积和衍生的骨形态相似性以及其在二维-三维配准任务特定应用中的性能，对OrthoFusion的有效性进行了评估。结果表明，OrthoFusion显著缩短了分割时间，同时提高了骨图像的结构相似性和衍生骨模型几何形状的相对准确性。此外，在双平面视频放射成像中，它被证明是有益的，增强了数字重建射线照片与射线图像的相似性，并提高了相对骨运动学的准确性。OrthoFusion的简单性、易于实现性和通用性使其成为研究人员和临床医生从现有临床CT数据中获取高空间分辨率的宝贵工具。这项研究为回顾性利用临床图像进行研究和高级临床目的开辟了新途径，同时减少了额外扫描的需求，降低了相关成本和辐射暴露。
