J Am Med Inform Assoc - Multiscale segmentation of the skull in MR images for MRI-based attenuation correction of combined MR/PET.

Tópicos

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Resumo

CKGROUND AND OBJECTIVE: Combined magnetic resonance/positron emission tomography (MR/PET) is a relatively new, hybrid imaging modality. MR-based attenuation correction often requires segmentation of the bone on MR images. In this study, we present an automatic segmentation method for the skull on MR images for attenuation correction in brain MR/PET applications.MATERIALS AND METHODS: Our method transforms T1-weighted MR images to the Radon domain and then detects the features of the skull image. In the Radon domain we use a bilateral filter to construct a multiscale image series. For the repeated convolution we increase the spatial smoothing in each scale and make the width of the spatial and range Gaussian function doubled in each scale. Two filters with different kernels along the vertical direction are applied along the scales from the coarse to fine levels. The results from a coarse scale give a mask for the next fine scale and supervise the segmentation in the next fine scale. The use of the multiscale bilateral filtering scheme?is to improve the robustness of the method for noise MR images. After combining the two filtered sinograms, the reciprocal binary sinogram of the skull is obtained for the reconstruction of the skull image.RESULTS: This method has been tested with brain phantom data, simulated brain data, and real MRI data. For real MRI data the Dice overlap ratios are 92.2%?1.9% between our segmentation and manual segmentation.CONCLUSIONS: The multiscale segmentation method is robust and accurate and can be used for MRI-based attenuation correction in combined MR/PET.

Resumo Limpo

ckground object combin magnet resonancepositron emiss tomographi mrpet relat new hybrid imag modal mrbase attenu correct often requir segment bone mr imag studi present automat segment method skull mr imag attenu correct brain mrpet applicationsmateri method method transform tweight mr imag radon domain detect featur skull imag radon domain use bilater filter construct multiscal imag seri repeat convolut increas spatial smooth scale make width spatial rang gaussian function doubl scale two filter differ kernel along vertic direct appli along scale coars fine level result coars scale give mask next fine scale supervis segment next fine scale use multiscal bilater filter schemei improv robust method nois mr imag combin two filter sinogram reciproc binari sinogram skull obtain reconstruct skull imageresult method test brain phantom data simul brain data real mri data real mri data dice overlap ratio segment manual segmentationconclus multiscal segment method robust accur can use mribas attenu correct combin mrpet

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