Evaluation of CT-MR image registration methodologies for 3D preoperative planning of forearm surgeries

被引:4
作者
Gerber, Nicolas [1 ]
Carrillo, Fabio [2 ]
Abegg, Daniel [2 ]
Sutter, Reto [3 ]
Zheng, Guoyan [4 ]
Fuernstahl, Philipp [2 ]
机构
[1] Univ Bern, Sitem Ctr Translat Med & Biomed Entrepreneurship, Bern, Switzerland
[2] Balgrist Univ Hosp, Res Orthoped Comp Sci, Zurich, Switzerland
[3] Balgrist Univ Hosp, Dept Radiol, Zurich, Switzerland
[4] Shanghai Jiao Tong Univ, Sch Biomed Engn, Shanghai, Peoples R China
关键词
forearm; image-to-image registration; mutual information; surgical planning; DISTAL RADIOULNAR JOINT; CORRECTIVE OSTEOTOMY; RECONSTRUCTION; OPTIMIZATION; ACCURACY; FUSION;
D O I
10.1002/jor.24641
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Computerized surgical planning for forearm procedures that considers both soft and bony tissue, requires alignment of preoperatively acquired computed tomography (CT) and magnetic resonance (MR) images by image registration. Normalized mutual information (NMI) registration techniques have been researched to improve efficiency and to eliminate the user dependency associated with manual alignment. While successfully applied in various medical fields, the application of NMI registration to images of the forearm, for which the relative pose of the radius and ulna likely differs between CT and MR acquisitions, is yet to be described. To enable the alignment of CT and MR forearm data, we propose an NMI-based registration pipeline, which allows manual steering of the registration algorithm to the desired image subregion and is, thus, applicable to the forearm. Successive automated registration is proposed to enable planning incorporating multiple target anatomical structures such as the radius and ulna. With respect to gold-standard manual registration, the proposed registration methodology achieved mean accuracies of 0.08 +/- 0.09 mm (0.01-0.41 mm range) in comparison with 0.28 +/- 0.23 mm (0.03-0.99 mm range) associated with a landmark-based registration when tested on 40 patient data sets. Application of the proposed registration pipeline required less than 10 minutes on average compared with 20 minutes required by the landmark-based registration. The clinical feasibility and relevance of the method were tested on two different clinical applications, a forearm tumor resection and radioulnar joint instability analysis, obtaining accurate and robust CT-MR image alignment for both cases.
引用
收藏
页码:1920 / 1930
页数:11
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