Bone deformities of the leg (“O-Bein”, “X-Bein”) result in a deviation of the mechanical leg axis which may cause disproportional loading in the knee joint. Ultimately, osteoarthritis can develop and joint replacement by a prosthetic implant might be necessary. A surgical procedure (so-called osteotomy) can be performed to correct the leg axis by cutting and realigning the bone according to a preoperative plan. Besides restoration of the joint function, aesthetic aspects are also important for the patient because realignment of the leg axis positively influences the visual appearance. Therefore, the simulation of the postoperative appearance emphasizing photo-realistic visualization is required.

Goal of this student project is to develop a simulation pipeline using preoperative data (photographs, X-ray images) that can be used to predict the surgical outcome by rendering a photo-realistic visualization of the legs. The project builds up on existing methods and equipment, but also requires the development of new strategies optimized for the given scenario of patient image acquisition and model generation. In a first step, the workflow for generating a 3D textured appearance model from the patient leg before surgery will be developed. Second, the appearance model has to be transformed according to the surgery to be performed.

 

The project will be jointly supervised by the Computer Vision Laboratory of ETH and the University Hospital Balgrist. Required fundamentals in anatomy and clinical biomechanics will be provided by a dedicated supervisor at Balgrist. You should have a solid background in computer vision and strong programming skills. Experience in 3D model reconstruction and related standard methods (e.g., VisualSFM) is advantageous.

 

Supervision:

 Prof. Orcun Goksel, Computer Vision Laboratory ETH Zurich, Phone: +41 44 63 22529,
Email:
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Dr. Philipp Fürnstahl, PhD, University Hospital Balgrist, Phone: +41 44 386 5746,
Email:
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