Paper
12 March 2010 Partial volume correction using cortical surfaces
Kamille Rosenfalck Blaasvær, Camilla Dremstrup Haubro, Simon Fristed Eskildsen, Per Borghammer, Daniel Otzen, Lasse Riis Ostergaard
Author Affiliations +
Abstract
Partial volume effect (PVE) in positron emission tomography (PET) leads to inaccurate estimation of regional metabolic activities among neighbouring tissues with different tracer concentration. This may be one of the main limiting factors in the utilization of PET in clinical practice. Partial volume correction (PVC) methods have been widely studied to address this issue. MRI based PVC methods are well-established.1 Their performance depend on the quality of the co-registration of the MR and PET dataset, on the correctness of the estimated point-spread function (PSF) of the PET scanner and largely on the performance of the segmentation method that divide the brain into brain tissue compartments.1, 2 In the present study a method for PVC is suggested, that utilizes cortical surfaces, to obtain detailed anatomical information. The objectives are to improve the performance of PVC, facilitate a study of the relationship between metabolic activity in the cerebral cortex and cortical thicknesses, and to obtain an improved visualization of PET data. The gray matter metabolic activity after performing PVC was recovered by 99.7 - 99.8 % , in relation to the true activity when testing on simple simulated data with different PSFs and by 97.9 - 100 % when testing on simulated brain PET data at different cortical thicknesses. When studying the relationship between metabolic activities and anatomical structures it was shown on simulated brain PET data, that it is important to correct for PVE in order to get the true relationship.
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Kamille Rosenfalck Blaasvær, Camilla Dremstrup Haubro, Simon Fristed Eskildsen, Per Borghammer, Daniel Otzen, and Lasse Riis Ostergaard "Partial volume correction using cortical surfaces", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76234R (12 March 2010); https://doi.org/10.1117/12.843648
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KEYWORDS
Positron emission tomography

Image segmentation

Brain

Point spread functions

Magnetic resonance imaging

Scanners

Tissues

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