Daniel B Chonde1,2,3, David Izquierdo-Garcia1, Kevin Chen1,2, Spencer L Bowen1, Ciprian Catana1. 1. Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA. 2. Department of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA. 3. Program in Biophysics, Harvard University, Cambridge, MA, USA.
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.
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
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
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
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
Authors: Tonya M Gilbert; Nicole R Zürcher; Christine J Wu; Anisha Bhanot; Baileigh G Hightower; Minhae Kim; Daniel S Albrecht; Hsiao-Ying Wey; Frederick A Schroeder; Anais Rodriguez-Thompson; Thomas M Morin; Kamber L Hart; Amelia M Pellegrini; Misha M Riley; Changning Wang; Steven M Stufflebeam; Stephen J Haggarty; Daphne J Holt; Marco L Loggia; Roy H Perlis; Hannah E Brown; Joshua L Roffman; Jacob M Hooker Journal: J Clin Invest Date: 2018-12-10 Impact factor: 14.808
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 Journal: Transl Psychiatry Date: 2020-07-08 Impact factor: 6.222