Automated preoperative planning of femoral stem in total hip arthroplasty from 3D CT data: Atlas-based approach and comparative study

Computation of Femoral Canine Morphometric Parameters in Three‐Dimensional Geometrical Models

“…Although 3D models are a well‐established diagnostic tool for people, they are new to veterinary medicine. Recent efforts to develop consistent imaging techniques led to a 3D approach for veterinary orthopedic investigation .…”

“…21,26 Human medical research has focused on developing imaging modalities that generate precise morphometric analyses of bone surfaces through the reconstruction of 3D geometric models. The 3D femoral surface models can be constructed with data acquired from biplanar radiographs, 27,28 CT, 29,30 MR, 31 and surface meshing software. [32][33][34][35] Computation on 3D geometric models has been recently introduced [36][37][38][39][40][41][42][43][44][45][46] as a source of reliable data for investigating canine hip joint osteoarthritic degeneration, [36][37][38] designing bone templates, [39][40][41] analyzing the femoral surface, [42][43][44] and also for in vivo kinematics research.…”

A Survey on Statistical Modeling and Machine Learning Approaches to Computer Assisted Medical Intervention: Intraoperative Anatomy Modeling and Optimization of Interventional Procedures

“…Figure 5 shows the schematic diagram of automated THA planning based on statistical atlases. Otomaru et al extended Viceconti's method so as to select the optimal reference plan from a number of planning datasets and compared it with Nakamoto's method using the medullary cavity surface obtained by fully-automated segmentation [103]. Otomaru et al also automated the acetabular cup planning by using the coupled SSM of the patient pelvis and implanted cup [104] and further combined the merged SSM with the residual bone thickness map similar to the distance map [105] as well as combined with SSM-based 2D-3D reconstruction so as to perform automated THA planning from 2D X-ray images [106].…”

Automated Planning With Multivariate Shape Descriptors for Fibular Transfer in Mandibular Reconstruction

“…However, quantitative indices for mandibular reconstruction have not been sufficiently studied. Reported attempts to automate surgical planning include a system for planning hip replacement [20]. However, segmentation and placement of fibular segments for mandibular reconstruction is highly flexible, and the shape of the mandible varies from person to person [21], [22].…”