Int J Comput Assist Radiol Surg - A 3D active model framework for segmentation of proximal femur in MR images.

Tópicos

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Resumo

RPOSE: Segmentation of osseous structures from clinical MR images is difficult due to acquisition artifacts and variable signal intensity of bones. Segmentation of femoral head is required for evaluation of hip joint abnormalities such as cam- type femoroacetabular impingement. A parametric deformable model (PDM) framework was developed for segmentation of 3D magnetic resonance (MR) images of the hip.METHOD: A two-phase segmentation scheme was implemented: (i) Radial basis function interpolation was performed for semi-automatic piecewise registration of a proximal femur atlas model to an MRI scan region of interest. User-defined control points on the mesh model were registered to the corresponding landmarks on the image. (ii) An active PDM was then used for coarse-to-fine level segmentation. The segmentation technique was tested using 3D synthetic image data and clinical MR scans of the hip with varying resolution.RESULTS: The segmentation method provided a mean target overlap of 0.95 and misclassification error of 0.035 for the synthetic data. The average target overlap was 0.88, and misclassification error rate was 0.12 for the clinical MRI data sets.CONCLUSION: A framework for segmentation of proximal femur in hip MRI scans was developed and tested. This method is robust to artifacts and intensity inhomogeneity and resistant to leakage into adjacent tissues. In comparison with slicewise segmentation techniques, this method features inter-slice consistency, which results in a smooth model of the proximal femur in hip MRI scans.

Resumo Limpo

rpose segment osseous structur clinic mr imag difficult due acquisit artifact variabl signal intens bone segment femor head requir evalu hip joint abnorm cam type femoroacetabular imping parametr deform model pdm framework develop segment d magnet reson mr imag hipmethod twophas segment scheme implement radial basi function interpol perform semiautomat piecewis registr proxim femur atlas model mri scan region interest userdefin control point mesh model regist correspond landmark imag ii activ pdm use coarsetofin level segment segment techniqu test use d synthet imag data clinic mr scan hip vari resolutionresult segment method provid mean target overlap misclassif error synthet data averag target overlap misclassif error rate clinic mri data setsconclus framework segment proxim femur hip mri scan develop test method robust artifact intens inhomogen resist leakag adjac tissu comparison slicewis segment techniqu method featur interslic consist result smooth model proxim femur hip mri scan

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