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Automated Analysis of 123I-beta-CIT SPECT Images with Statistical Probabilistic Anatomical Mapping

Automated Analysis of 123I-beta-CIT SPECT Images with Statistical Probabilistic Anatomical Mapping Nucl Med Mol Imaging (2014) 48:47–54 DOI 10.1007/s13139-013-0241-5 ORIGINAL ARTICLE Automated Analysis of I-beta-CIT SPECT Images with Statistical Probabilistic Anatomical Mapping Jae Seon Eo & Ho-Young Lee & Jae Sung Lee & Yu Kyung Kim & Bum-Seok Jeon & Dong Soo Lee Received: 27 March 2013 /Revised: 28 August 2013 /Accepted: 2 October 2013 /Published online: 6 November 2013 Korean Society of Nuclear Medicine 2013 Abstract disease (M: F=6:3, mean age=26±11 years) and 17 normal Background Population-based statistical probabilistic controls (M:F=5:12, mean age=39±16 years). A SPECT anatomical maps have been used to generate probabilistic template was created using striatal statistical probabilistic volumes of interest for analyzing perfusion and metabolic map images. All images were spatially normalized onto the brain imaging. We investigated the feasibility of automated template, and probability-weighted regional counts in striatal analysis for dopamine transporter images using this technique structures were estimated. The binding potential was and evaluated striatal binding potentials in Parkinson’sdisease calculated using the ratio of specific and nonspecific binding and Wilson’sdisease. activities at equilibrium. Voxel-based comparisons between Materials and Methods We analyzed 2β-Carbomethoxy- groups were also performed using statistical parametric 123 123 3β-(4- I-iodophenyl)tropane ( I-beta-CIT) SPECT mapping. images acquired from 26 people with http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nuclear Medicine and Molecular Imaging Springer Journals

Automated Analysis of 123I-beta-CIT SPECT Images with Statistical Probabilistic Anatomical Mapping

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References (18)

Publisher
Springer Journals
Copyright
Copyright © 2013 by Korean Society of Nuclear Medicine
Subject
Medicine & Public Health; Nuclear Medicine; Imaging / Radiology; Orthopedics; Cardiology; Oncology
ISSN
1869-3474
eISSN
1869-3482
DOI
10.1007/s13139-013-0241-5
pmid
24900138
Publisher site
See Article on Publisher Site

Abstract

Nucl Med Mol Imaging (2014) 48:47–54 DOI 10.1007/s13139-013-0241-5 ORIGINAL ARTICLE Automated Analysis of I-beta-CIT SPECT Images with Statistical Probabilistic Anatomical Mapping Jae Seon Eo & Ho-Young Lee & Jae Sung Lee & Yu Kyung Kim & Bum-Seok Jeon & Dong Soo Lee Received: 27 March 2013 /Revised: 28 August 2013 /Accepted: 2 October 2013 /Published online: 6 November 2013 Korean Society of Nuclear Medicine 2013 Abstract disease (M: F=6:3, mean age=26±11 years) and 17 normal Background Population-based statistical probabilistic controls (M:F=5:12, mean age=39±16 years). A SPECT anatomical maps have been used to generate probabilistic template was created using striatal statistical probabilistic volumes of interest for analyzing perfusion and metabolic map images. All images were spatially normalized onto the brain imaging. We investigated the feasibility of automated template, and probability-weighted regional counts in striatal analysis for dopamine transporter images using this technique structures were estimated. The binding potential was and evaluated striatal binding potentials in Parkinson’sdisease calculated using the ratio of specific and nonspecific binding and Wilson’sdisease. activities at equilibrium. Voxel-based comparisons between Materials and Methods We analyzed 2β-Carbomethoxy- groups were also performed using statistical parametric 123 123 3β-(4- I-iodophenyl)tropane ( I-beta-CIT) SPECT mapping. images acquired from 26 people with

Journal

Nuclear Medicine and Molecular Imaging – Springer Journals

Published: Nov 6, 2013

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