Multiple 3D inversion recovery imaging for volume T1 mapping of the heart
| Autor: | L. Begnozzi, A. Santarelli, C. Loiudice, B. Nardiello, Marco D’Arienzo, G. Della Longa, R. Capparella, A. Coniglio, P. Di Renzi, G. Vilches Freixas, Stefano Bianchi |
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| Přispěvatelé: | D'Arienzo, M. |
| Rok vydání: | 2011 |
| Předmět: |
Adult
Gadolinium DTPA Male 3D inversion recovery heart myocardium volume T1 mapping Contrast Media Inversion recovery Imaging phantom Thoracic region Imaging Three-Dimensional Calibration medicine Image Processing Computer-Assisted Humans Radiology Nuclear Medicine and imaging Aged 3d inversion business.industry Phantoms Imaging Myocardium Hypertrophic cardiomyopathy Heart Cardiomyopathy Hypertrophic Middle Aged medicine.disease Image Enhancement Liver Pixel based Female business Nuclear medicine Volume (compression) |
| Zdroj: | Magnetic resonance in medicine. 69(1) |
| ISSN: | 1522-2594 |
| Popis: | In this article, a three-dimensional inversion recovery sequence was optimized with the aim of generating in vivo volume T1 maps of the heart using a 1.5-T MR system. Acquisitions were performed before and after gadolinium diethylenetriamine penta-acetic acid (Gd-DTPA) administration in one patient with hypertrophic cardiomyopathy and in two healthy volunteers. Data were acquired with a multishot fast field echo readout using both ECG and respiratory triggers. A dedicated phantom, composed of four solutions with different T1 values, was positioned on the subjects' thoracic region to perform patient-specific calibration. Pixel based T1 maps were calculated with a custom Matlab® code. Phantom measurements showed a good accuracy of the technique and in vivo T1 estimation of liver, skeletal muscle, myocardium, and blood resulted in good agreement with values reported in the literature. Multiple three-dimensional inversion recovery technique is a feasible and accurate method to perform T1 volume mapping. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc. Copyright © 2012 Wiley Periodicals, Inc. |
| Databáze: | OpenAIRE |
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