FDG-PET Parametric Imaging by Total Variation Minimization

Details FDG-PET Parametric Imaging by Total Variation Minimization FDG-PET Parametric Imaging by Total Variation Minimization

2009-04-17

arxiv.org/abs/0904.2639v1

Biology

Quantitative Biology

Quantitative Methods

Scientific paper

Parametric imaging of the cerebral metabolic rate for glucose (CMRGlc) using [18F]-fluorodeoxyglucose positron emission tomography is considered. Traditional imaging is hindered due to low signal to noise ratios at individual voxels. We propose to minimize the total variation of the tracer uptake rates while requiring good fit of traditional Patlak equations. This minimization guarantees spatial homogeneity within brain regions and good distinction between brain regions. Brain phantom simulations demonstrate significant improvement in quality of images by the proposed method as compared to Patlak images with post-filtering using Gaussian or median filters.

Affiliated with

Also associated with

No associations

Rating

FDG-PET Parametric Imaging by Total Variation Minimization does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with FDG-PET Parametric Imaging by Total Variation Minimization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and FDG-PET Parametric Imaging by Total Variation Minimization will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-140918