Correction for Partial Volume Effects in Emission Tomography

Rousset, Olivier; Zaidi, Habib

doi:10.1007/0-387-25444-7_8

Cited by 34 publications

(36 citation statements)

References 81 publications

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“…On the basis of the known characteristics of the PSF of the PET system, the noise-free image of each tissue component VOI i , or regional-spread function (RSF) (10), can be used to provide either correction maps or regional correction factors (1). The RSF of a given VOI i is therefore expressed as (10):…”

Section: Resolution Effectsmentioning

confidence: 99%

Design and Implementation of an Automated Partial Volume Correction in PET: Application to Dopamine Receptor Quantification in the Normal Human Striatum

et al. 2008

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The considerable effort and potential lack of reproducibility of human-driven PET quantification and partial volume correction (PVC) can be alleviated by use of atlas-based automatic analysis. The present study examined the application of a new algorithm designed to automatically define 3-dimensional regions of interest (ROIs) and their effect on dopamine receptor quantification in the normal human brain striatum, both without and with PVC. Methods: A total of 90 healthy volunteers (age range, 18-46 y) received a single injection of 11 C-raclopride, and automatic segmentation of concomitant structural MR images was performed using a maximum-probability atlas in combination with a trained neural network. For each identified tissue segment considered homogeneous for the tracer (or volumes of interest [VOIs]), an a priori criterion based on minimum axial recovery coefficient (RC zmin 5 50%, 75%, and 90%) was used to constrain the extent of each ROI. Results: With ROIs essentially overlapping the entire VOI volume (obtained with RC zmin 5 50%), the binding potential (BP ND ) of 11 C-raclopride was found to be around 2.2 for caudate and 2.9 for putamen, an underestimation by 35% and 28%, respectively, according to PVC values. At increased RC zmin , BP ND estimates of 11 C-raclopride were increased by 12% and 21% for caudate and 8% and 15% for putamen when the associated ROIs decreased to around 65% and 43% of total tissue volume (VOI) for caudate and 67% and 31% for putamen. After PVC, we observed relative increases in BP ND variance of 12% for caudate and 20% for putamen, whereas estimated BP ND values all increased to 3.4 for caudate and 4.0 for putamen, regardless of ROI size. Dopamine receptor concentrations appeared less heterogeneous in the normal human striatum after PVC than they did without PVC: the 25%-30% difference in BP ND estimates observed between caudate and putamen remained significant after PVC but was reduced to slightly less than 20%. Furthermore, the results were comparable with those obtained with a manual method currently in use in our laboratory. Conclusion: The new algorithm allows for traditional PET data extraction and PVC in an entirely automatic fashion, thus avoiding labor-intensive analyses and potential intra-or interobserver variability. This study also offers the first, to our knowledge, large-scale application of PVC to dopamine D 2 /D 3 receptor imaging with 11 C-raclopride in humans.

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Section: Resolution Effectsmentioning

confidence: 99%

Design and Implementation of an Automated Partial Volume Correction in PET: Application to Dopamine Receptor Quantification in the Normal Human Striatum

et al. 2008

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“…A number of such methods exist and have been reviewed elsewhere [53]. These methods have been shown to result in considerably improved contrast-versus-noise plots for extended objects, because of better modeling of blurring effects in PET (ie, higher effective resolution, and thus less PVE, at a given noise level) [54,55].…”

Section: Resolution Recovery Methodsmentioning

confidence: 99%

“…More sophisticated methods involved the use of anatomic information from MR imaging or CT to avoid blurring effects at the boundaries of regions, as reviewed extensively by Rousset and Zaidi [53]. As such, these methods obtain improved noise levels at nearly similar contrast and effective resolutions.…”

Section: Bayesian Methodsmentioning

confidence: 99%

Partial Volume Correction Strategies in PET

et al. 2007

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“…The impact of image misregistration and segmentation errors has been assessed by some investigators. 119,[123][124][125][126][127] More recent techniques using multi-resolution synergetic approaches that combine functional Fig. 7.…”

Section: Anatomically Guided Partial Volume Correction In Petmentioning

confidence: 99%