Literature DB >> 26501646

Masamune: a tool for automatic dynamic PET data processing, image reconstruction and integrated PET/MRI data analysis.

Daniel B Chonde1,2,3, David Izquierdo-Garcia1, Kevin Chen1,2, Spencer L Bowen1, Ciprian Catana1.   

Abstract

Entities:  

Year:  2014        PMID: 26501646      PMCID: PMC4545217          DOI: 10.1186/2197-7364-1-S1-A57

Source DB:  PubMed          Journal:  EJNMMI Phys        ISSN: 2197-7364


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We describe a novel semi-automated pipeline which integrates advanced data analysis tools for MR and PET with advanced PET reconstruction correction methods (partial volume effect correction [PVC], motion correction [MC], attenuation correction [AC]) in a user-friendly Matlab graphical user interface (GUI). The reconstruction and analysis GUI is written in Matlab. Computationally intensive tasks in the pipeline are automatically transferred to a high-performance computing cluster and retrieved. Descriptions of the commercial packages used can be found in their corresponding references. SPM8 [1] is used in MC and AC processing. Comkat [2] and PMOD [3] are used for kinetic modeling. FSL [4] and SPM8 are used for group analysis. Freesurfer [5] is used for regions-of-interest (ROI) definition and smoothing. Data preprocessing: Head-motion is derived from a number of sources: echo-planar MR images, MR-based motion navigators, and directly from the PET data when MR data is unavailable (e.g. during shimming). Subsequently, the ME-MPRAGE is reoriented to the reference position. Cortical and subcortical ROIs are labeled using FreeSurfer; similarly, the MPRAGE is registered to MNI-space for generating subject-specific atlases. Image reconstruction: An OP-OSEM algorithm is used for PET reconstruction [6]. MC [7] and PVC [8] can be performed using the results from data preprocessing. AC can be imported directly from CT, using MR-images [9], or through atlas-based methods. Automated Bolus Arrival Time (BAT) & Image-Derived Input Function: The singles count rate is recorded during PET acquisition. The BAT is determined by fitting a trilinear piecewise function and used as the reference time. Time-of-Flight MR can then be used to segment the arteries of the head and an image-derived input function can be determined using short frames. We presented a novel pipeline which interfaces with a number of different commercial software to provide improved PET data quantification.
  8 in total

1.  High-resolution intersubject averaging and a coordinate system for the cortical surface.

Authors:  B Fischl; M I Sereno; R B Tootell; A M Dale
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

2.  COMKAT: compartment model kinetic analysis tool.

Authors:  R F Muzic; S Cornelius
Journal:  J Nucl Med       Date:  2001-04       Impact factor: 10.057

3.  MRI-assisted PET motion correction for neurologic studies in an integrated MR-PET scanner.

Authors:  Ciprian Catana; Thomas Benner; Andre van der Kouwe; Larry Byars; Michael Hamm; Daniel B Chonde; Christian J Michel; Georges El Fakhri; Matthias Schmand; A Gregory Sorensen
Journal:  J Nucl Med       Date:  2011-01       Impact factor: 10.057

Review 4.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

5.  Requirements and implementation of a flexible kinetic modeling tool.

Authors:  C Burger; A Buck
Journal:  J Nucl Med       Date:  1997-11       Impact factor: 10.057

6.  Influence of the partial volume correction method on (18)F-fluorodeoxyglucose brain kinetic modelling from dynamic PET images reconstructed with resolution model based OSEM.

Authors:  Spencer L Bowen; Larry G Byars; Christian J Michel; Daniel B Chonde; Ciprian Catana
Journal:  Phys Med Biol       Date:  2013-09-20       Impact factor: 3.609

7.  Toward implementing an MRI-based PET attenuation-correction method for neurologic studies on the MR-PET brain prototype.

Authors:  Ciprian Catana; Andre van der Kouwe; Thomas Benner; Christian J Michel; Michael Hamm; Matthias Fenchel; Bruce Fischl; Bruce Rosen; Matthias Schmand; A Gregory Sorensen
Journal:  J Nucl Med       Date:  2010-09       Impact factor: 10.057

8.  Effect of MRI acoustic noise on cerebral fludeoxyglucose uptake in simultaneous MR-PET imaging.

Authors:  Daniel B Chonde; Nasreddin Abolmaali; Grae Arabasz; Alexander R Guimaraes; Ciprian Catana
Journal:  Invest Radiol       Date:  2013-05       Impact factor: 6.016

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Authors:  Chieh-En J Tseng; Tonya M Gilbert; Mary C Catanese; Baileigh G Hightower; Amy T Peters; Anjali J Parmar; Minhae Kim; Changning Wang; Joshua L Roffman; Hannah E Brown; Roy H Perlis; Nicole R Zürcher; Jacob M Hooker
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