T₂ mapping of the heart with a double-inversion radial fast spin-echo method with indirect echo compensation

Persistent Link:
http://hdl.handle.net/10150/610315
Title:
T₂ mapping of the heart with a double-inversion radial fast spin-echo method with indirect echo compensation
Author:
Hagio, T.; Huang, C.; Abidov, A.; Singh, J.; Ainapurapu, B.; Squire, S.; Bruck, D.; Altbach, M. I.
Affiliation:
Biomedical Engineering Graduate Interdisciplinary Program, University of Arizona; Department of Mathematics, University of Arizona; Departments of Radiology and Psychiatry, Stony Brook University; Department of Medicine, University of Arizona; Arizona Sarver Heart Center, University of Arizona; Department of Medical Imaging, University of Arizona
Issue Date:
2015
Publisher:
BioMed Central
Citation:
Hagio et al. Journal of Cardiovascular Magnetic Resonance (2015) 17:24 DOI 10.1186/s12968-015-0108-2
Journal:
Journal of Cardiovascular Magnetic Resonance
Rights:
© 2015 Hagio et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
Collection Information:
This item is part of the UA Faculty Publications collection. For more information this item or other items in the UA Campus Repository, contact the University of Arizona Libraries at repository@u.library.arizona.edu.
Abstract:
BACKGROUND: The abnormal signal intensity in cardiac T₂-weighted images is associated with various pathologies including myocardial edema. However, the assessment of pathologies based on signal intensity is affected by the acquisition parameters and the sensitivities of the receiver coils. T₂ mapping has been proposed to overcome limitations of T₂-weighted imaging, but most methods are limited in spatial and/or temporal resolution. Here we present and evaluate a double inversion recovery radial fast spin-echo (DIR-RADFSE) technique that yields data with high spatiotemporal resolution for cardiac T₂ mapping. METHODS: DIR-RADFSE data were collected at 1.5 T on phantoms and subjects with echo train length (ETL) = 16, receiver bandwidth (BW) = +/-32 kHz, TR = 1RR, matrix size = 256 x 256. Since only 16 views per echo time (TE) are collected, two algorithms designed to reconstruct highly undersampled radial data were used to generate images for 16 time points: the Echo-Sharing (ES) and the CUrve Reconstruction via pca-based Linearization with Indirect Echo compensation (CURLIE) algorithm. T₂ maps were generated via least-squares fitting or the Slice-resolved Extended Phase Graph (SEPG) model fitting. The CURLIE-SEPG algorithm accounts for the effect of indirect echoes. The algorithms were compared based on reproducibility, using Bland-Altman analysis on data from 7 healthy volunteers, and T₂ accuracy (against a single-echo spin-echo technique) using phantoms. RESULTS: Both reconstruction algorithms generated in vivo images with high spatiotemporal resolution and showed good reproducibility. Mean T₂ difference between repeated measures and the coefficient of repeatability were 0.58 ms and 2.97 for ES and 0.09 ms and 4.85 for CURLIE-SEPG. In vivo T₂ estimates from ES were higher than those from CURLIE-SEPG. In phantoms, CURLIE-SEPG yielded more accurate T₂s compared to reference values (error was 7.5-13.9% for ES and 0.6-2.1% for CURLIE-SEPG), consistent with the fact that CURLIE-SEPG compensates for the effects of indirect echoes. The potential of T₂ mapping with CURLIE-SEPG is demonstrated in two subjects with known heart disease. Elevated T₂ values were observed in areas of suspected pathology. CONCLUSIONS: DIR-RADFSE yielded TE images with high spatiotemporal resolution. Two algorithms for generating T₂ maps from highly undersampled data were evaluated in terms of accuracy and reproducibility. Results showed that CURLIE-SEPG yields T₂ estimates that are reproducible and more accurate than ES.
EISSN:
1532-429X
PubMed ID:
25889928
PubMed Central ID:
PMC4339480
DOI:
10.1186/s12968-015-0108-2 [doi]
Keywords:
Cardiovascular magnetic resonance; Myocarditis; Edema; T₂; Mapping; Radial; FSE; Indirect echo
Version:
Final published version
Additional Links:
http://www.jcmr-online.com/content/17/1/24

Full metadata record

DC FieldValue Language
dc.contributor.authorHagio, T.en
dc.contributor.authorHuang, C.en
dc.contributor.authorAbidov, A.en
dc.contributor.authorSingh, J.en
dc.contributor.authorAinapurapu, B.en
dc.contributor.authorSquire, S.en
dc.contributor.authorBruck, D.en
dc.contributor.authorAltbach, M. I.en
dc.date.accessioned2016-05-20T09:04:01Z-
dc.date.available2016-05-20T09:04:01Z-
dc.date.issued2015en
dc.identifier.citationHagio et al. Journal of Cardiovascular Magnetic Resonance (2015) 17:24 DOI 10.1186/s12968-015-0108-2en
dc.identifier.pmid25889928en
dc.identifier.doi10.1186/s12968-015-0108-2 [doi]en
dc.identifier.urihttp://hdl.handle.net/10150/610315-
dc.description.abstractBACKGROUND: The abnormal signal intensity in cardiac T₂-weighted images is associated with various pathologies including myocardial edema. However, the assessment of pathologies based on signal intensity is affected by the acquisition parameters and the sensitivities of the receiver coils. T₂ mapping has been proposed to overcome limitations of T₂-weighted imaging, but most methods are limited in spatial and/or temporal resolution. Here we present and evaluate a double inversion recovery radial fast spin-echo (DIR-RADFSE) technique that yields data with high spatiotemporal resolution for cardiac T₂ mapping. METHODS: DIR-RADFSE data were collected at 1.5 T on phantoms and subjects with echo train length (ETL) = 16, receiver bandwidth (BW) = +/-32 kHz, TR = 1RR, matrix size = 256 x 256. Since only 16 views per echo time (TE) are collected, two algorithms designed to reconstruct highly undersampled radial data were used to generate images for 16 time points: the Echo-Sharing (ES) and the CUrve Reconstruction via pca-based Linearization with Indirect Echo compensation (CURLIE) algorithm. T₂ maps were generated via least-squares fitting or the Slice-resolved Extended Phase Graph (SEPG) model fitting. The CURLIE-SEPG algorithm accounts for the effect of indirect echoes. The algorithms were compared based on reproducibility, using Bland-Altman analysis on data from 7 healthy volunteers, and T₂ accuracy (against a single-echo spin-echo technique) using phantoms. RESULTS: Both reconstruction algorithms generated in vivo images with high spatiotemporal resolution and showed good reproducibility. Mean T₂ difference between repeated measures and the coefficient of repeatability were 0.58 ms and 2.97 for ES and 0.09 ms and 4.85 for CURLIE-SEPG. In vivo T₂ estimates from ES were higher than those from CURLIE-SEPG. In phantoms, CURLIE-SEPG yielded more accurate T₂s compared to reference values (error was 7.5-13.9% for ES and 0.6-2.1% for CURLIE-SEPG), consistent with the fact that CURLIE-SEPG compensates for the effects of indirect echoes. The potential of T₂ mapping with CURLIE-SEPG is demonstrated in two subjects with known heart disease. Elevated T₂ values were observed in areas of suspected pathology. CONCLUSIONS: DIR-RADFSE yielded TE images with high spatiotemporal resolution. Two algorithms for generating T₂ maps from highly undersampled data were evaluated in terms of accuracy and reproducibility. Results showed that CURLIE-SEPG yields T₂ estimates that are reproducible and more accurate than ES.en
dc.language.isoenen
dc.publisherBioMed Centralen
dc.relation.urlhttp://www.jcmr-online.com/content/17/1/24en
dc.rights© 2015 Hagio et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)en
dc.subjectCardiovascular magnetic resonanceen
dc.subjectMyocarditisen
dc.subjectEdemaen
dc.subjectT₂en
dc.subjectMappingen
dc.subjectRadialen
dc.subjectFSEen
dc.subjectIndirect echoen
dc.titleT₂ mapping of the heart with a double-inversion radial fast spin-echo method with indirect echo compensationen
dc.typeArticleen
dc.identifier.eissn1532-429Xen
dc.contributor.departmentBiomedical Engineering Graduate Interdisciplinary Program, University of Arizonaen
dc.contributor.departmentDepartment of Mathematics, University of Arizonaen
dc.contributor.departmentDepartments of Radiology and Psychiatry, Stony Brook Universityen
dc.contributor.departmentDepartment of Medicine, University of Arizonaen
dc.contributor.departmentArizona Sarver Heart Center, University of Arizonaen
dc.contributor.departmentDepartment of Medical Imaging, University of Arizonaen
dc.identifier.journalJournal of Cardiovascular Magnetic Resonanceen
dc.identifier.pmcidPMC4339480en
dc.description.collectioninformationThis item is part of the UA Faculty Publications collection. For more information this item or other items in the UA Campus Repository, contact the University of Arizona Libraries at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen

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