PURPOSE: To implement real-time myocardial strain-encoding (SENC) imaging in combination with tracking the tissue displacement in the through-plane direction. MATERIALS AND METHODS: SENC imaging was combined with the slice-following technique by implementing three-dimensional (3D) selective excitation. Certain adjustments were implemented to reduce scan time to one heartbeat. A total of 10 volunteers and five pigs were scanned on a 3T MRI scanner. Spatial modulation of magnetization (SPAMM)-tagged images were acquired on planes orthogonal to the SENC planes for comparison. Myocardial infarction (MI) was induced in two pigs and the resulting SENC images were compared to standard delayed-enhancement (DE) images. RESULTS: The strain values computed from SENC imaging with slice-following showed significant difference from those acquired without slice-following, especially during systole (P < 0.01). The strain curves computed from the SENC images with and without slice-following were similar to those computed from the orthogonal SPAMM images, with and without, respectively, tracking the tag line displacement in the strain direction. The resulting SENC images showed good agreement with the DE images in identifying MI in infarcted pigs. CONCLUSION: Correction of through-plane motion in real-time cardiac functional imaging is feasible using slice-following. The strain measurements are more accurate than conventional SENC measurements in humans and animals, as validated with conventional MRI tagging. (c) 2007 Wiley-Liss, Inc.
PURPOSE: To implement real-time myocardial strain-encoding (SENC) imaging in combination with tracking the tissue displacement in the through-plane direction. MATERIALS AND METHODS: SENC imaging was combined with the slice-following technique by implementing three-dimensional (3D) selective excitation. Certain adjustments were implemented to reduce scan time to one heartbeat. A total of 10 volunteers and five pigs were scanned on a 3T MRI scanner. Spatial modulation of magnetization (SPAMM)-tagged images were acquired on planes orthogonal to the SENC planes for comparison. Myocardial infarction (MI) was induced in two pigs and the resulting SENC images were compared to standard delayed-enhancement (DE) images. RESULTS: The strain values computed from SENC imaging with slice-following showed significant difference from those acquired without slice-following, especially during systole (P < 0.01). The strain curves computed from the SENC images with and without slice-following were similar to those computed from the orthogonal SPAMM images, with and without, respectively, tracking the tag line displacement in the strain direction. The resulting SENC images showed good agreement with the DE images in identifying MI in infarctedpigs. CONCLUSION: Correction of through-plane motion in real-time cardiac functional imaging is feasible using slice-following. The strain measurements are more accurate than conventional SENC measurements in humans and animals, as validated with conventional MRI tagging. (c) 2007 Wiley-Liss, Inc.
Authors: Ehud J Schmidt; Maggie M Fung; Pelin Aksit Ciris; Ting Song; Ajit Shankaranarayanan; Godtfred Holmvang; Sandeep N Gupta; Miguel Chaput; Robert A Levine; Jeremy Ruskin; Vivek Y Reddy; Andre D'avila; Anthony H Aletras; Stephan B Danik Journal: Europace Date: 2013-09-06 Impact factor: 5.214
Authors: Keigo Kawaji; Noreen Nazir; John A Blair; Victor Mor-Avi; Stephanie Besser; Kohei Matsumoto; Jacob P Goes; Darius Dabir; Lukas Stoiber; Sebastian Kelle; Seyedeh Mahsa Zamani; Luise Holzhauser; Roberto M Lang; Amit R Patel Journal: Magn Reson Imaging Date: 2019-09-01 Impact factor: 2.546
Authors: Xiaodong Zhong; Bruce S Spottiswoode; Craig H Meyer; Christopher M Kramer; Frederick H Epstein Journal: Magn Reson Med Date: 2010-10 Impact factor: 4.668
Authors: Arunark Kolipaka; Kiaran P McGee; Philip A Araoz; Kevin J Glaser; Armando Manduca; Anthony J Romano; Richard L Ehman Journal: Magn Reson Med Date: 2009-07 Impact factor: 4.668