DocumentCode
1721644
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
fYear
2008
Firstpage
449
Lastpage
456
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Image Computing: Techniques and Applications (DICTA), 2008
Conference_Location
Canberra, ACT
Print_ISBN
978-0-7695-3456-5
Type
conf
DOI
10.1109/DICTA.2008.94
Filename
4700056
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