Title :
Patient-Specific Customization of a Generic Femur Model Using Orthogonal 2D Radiographs
Author :
Gamage, P. ; Xie, S.Q. ; Delmas, P. ; Xu, P. ; Mukherjee, S.
Author_Institution :
Univ. of Auckland, Auckland
Abstract :
Visualization of the patient-specific fractured bone in three dimensions (3D) plays an important role in image guided orthopedic surgery. Existing research often focuses on intra-operative registration of the patientspsila anatomy with pre-operatively obtained 3D volumetric data (e.g. CT scans) utilizing fiduciary markers. This expensive and invasive approach is not routinely available for diagnostics, and a majority of fracture reduction procedures currently solely relies on two dimensional (2D) x-ray/fluoroscopic images. This paper presents a new concept for the construction of a 3D model of a fractured human femur that eliminates the need to have the preoperative CT scan of the patientpsilas injured anatomy. It is based on two conventional orthogonal (in anterior and lateral views) 2D radiographic images and a supporting database of 3D intact (healthy) femurs. A search over the database initially finds the closest match to the patientpsilas femur. This best match is then customized through a non-rigid registration to the shape of the patientpsilas femur. Once the customization is complete a novel 2D-3D registration process separates the bone into the proximal and distal segments and identifies the pose (position and orientation) of each fragment.
Keywords :
diagnostic radiography; image registration; image segmentation; medical image processing; pose estimation; 2D radiographic images; 2D-3D registration process; 3D volumetric data; distal segments; fracture reduction procedures; fractured human femur; generic femur model; image guided orthopedic surgery; orthogonal 2D radiographs; patient-specific customization; patient-specific fractured bone visualization; proximal segments; Anatomy; Bones; Computed tomography; Data visualization; Diagnostic radiography; Humans; Image databases; Orthopedic surgery; Shape; X-ray imaging; Image Guided Surgery; Intra-Operative Visualization; Patient-Specific Reconstruction;
Conference_Titel :
Digital Image Computing: Techniques and Applications (DICTA), 2008
Conference_Location :
Canberra, ACT
Print_ISBN :
978-0-7695-3456-5
DOI :
10.1109/DICTA.2008.94