A Patient-specific Knee Joint Computer Model Using MRI Data and \u27in vivo\u27 Compressive Load from the Optical Force Measuring System

Modelling of patient knee joint from the MRI data and simulating its kinematics is presented. A flexion of the femur with respect to the tibia from $\\rm{0^o}$ to around $\\rm{40^o}$ is simulated. The finite element knee model is driven by compressive load measured \\u27in vivo\\u27 during MRI process by using specially developed optical force measurement system. Predicted kinematics is evaluated against the high-quality model obtained by registration from experimentally gathered low-quality MRI at fixed flexions. Validation pointed out that the mean square error (MSE) for the Euler rotation angles are bellow $\\rm{1.73^o}$, while the MSE for Euler translation is smaller than 5.93 mm

Espoo, Finland Image Processing Verification Tool–IPVT

Validation is an important part of image processing. Automated extraction of structures from medical images like MRI or CT is becoming a routine process for diagnosis. Therefore, the accurate region detection is necessary. The proposed Image Processing Verification Tool–IPVT is as a tool for statistical validation of the image processing results. The IPVT tool statistically evaluates the segmentation ability of the segmentation algorithm based on a comparison with references provided by the experts. This tool comprises a graphical users interface, a 2D and 3D image processing verification process, and report generation. 1

Construction of Patient Specific Virtual Models of Medical Phenomena

this paper. After a survey of related work in Section 2, major construction steps are outlined on an example of human knee joint in Section 3. Section 4 presents simulation results and quantitative assessment of quality for constructed models, followed by a discussion section which emphasises current modelling approaches and potential difficulties with the process of construction. Our conclusions also stress the applicative value of such models in the clinical practice. The present work summarizes a part of the SimBio project results [15