Purpose: Cardiac T mapping has become an increasingly important imaging technique, contributing novel diagnostic options. However, currently utilized methods are often associated with accuracy problems because of heart rate variations and cardiac arrhythmia, limiting their value in clinical routine. This study aimed to introduce an improved arrhythmia-related robust T mapping sequence called RT-TRASSI (real-time Triggered RAdial Single-Shot Inversion recovery).

Methods: All measurements were performed on a 3.0T whole-body imaging system. A real-time feedback algorithm for arrhythmia detection was implemented into the previously described pulse sequence. A programmable motion phantom was constructed and measurements with different simulated arrhythmias arranged. T mapping accuracy and susceptibility to artifacts were analyzed. In addition, in vivo measurements and comparisons with 3 prevailing T mapping sequences (MOLLI, ShMOLLI, and SASHA) were carried out to investigate the occurrence of artifacts.

Results: In the motion phantom measurements, RT-TRASSI showed excellent agreement with predetermined reference T values. Percentage scattering of the T values ranged from -0.6% to +1.9% in sinus rhythm and -1.0% to +3.1% for high-grade arrhythmias. In vivo, RT-TRASSI showed diagnostic image quality with only 6% of the acquired T maps including image artifacts. In contrast, more than 40% of the T maps acquired with MOLLI, ShMOLLI, or SASHA included motion artifacts.

Conclusion: Accuracy issues because of heart rate variability and arrhythmia are a prevailing problem in current cardiac T mapping techniques. With RT-TRASSI, artifacts can be minimized because of the short acquisition time and effective real-time feedback, avoiding potential data acquisition during systolic heart phase.

Download full-text PDF

Source
http://dx.doi.org/10.1002/mrm.27526DOI Listing

Publication Analysis

Top Keywords

motion phantom
12
real-time triggered
8
triggered radial
8
radial single-shot
8
single-shot inversion
8
cardiac mapping
8
heart rate
8
real-time feedback
8
molli shmolli
8
shmolli sasha
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!