Abstract
We proposed a novel method called HARP-I, which enhances the estimation of motion from tagged Magnetic Resonance Imaging (MRI). The harmonic phase of the images is unwrapped and treated as noisy measurements of reference coordinates on a deformed domain, obtaining motion with high accuracy using Radial Basis Functions interpolations. Results were compared against Shortest Path HARP Refinement (SP-HR) and Sine-wave Modeling (SinMod), two harmonic image-based techniques for motion estimation from tagged images. HARP-I showed a favorable similarity with both methods under noise-free conditions, whereas a more robust performance was found in the presence of noise. Cardiac strain was better estimated using HARP-I at almost any motion level, giving strain maps with less artifacts. Additionally, HARP-I showed better temporal consistency as a new method was developed to fix phase jumps between frames. In conclusion, HARP-I showed to be a robust method for the estimation of motion and strain under ideal and non-ideal conditions.
Original language | English (US) |
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Article number | 9320570 |
Pages (from-to) | 1240-1252 |
Number of pages | 13 |
Journal | IEEE Transactions on Medical Imaging |
Volume | 40 |
Issue number | 4 |
DOIs | |
State | Published - Apr 2021 |
Keywords
- CSPAMM
- Cardiac MRI
- SPAMM
- cardiac strain
- harmonic phase analysis
- motion estimation
- sine-wave modeling
- tagged MRI
ASJC Scopus subject areas
- Software
- Radiological and Ultrasound Technology
- Computer Science Applications
- Electrical and Electronic Engineering