HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion From Tagged MR Images

Kód výsledku v IS VaVaI

RIV/00023001:_____/21:00081027 - isvavai.cz

Výsledek na webu

https://ieeexplore.ieee.org/document/9320570

DOI - Digital Object Identifier

10.1109/TMI.2021.3051092

Jazyk výsledku

angličtina

Název v původním jazyce

HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion From Tagged MR Images

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion From Tagged MR Images

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30224 - Radiology, nuclear medicine and medical imaging

Projekt

NV19-08-00071: Analýza charakteru proudění a predikce vývoje změn v endovaskulárně ošetřených tepnách pomocí MR zobrazování a matematického modelování.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE transactions on medical imaging

ISSN

0278-0062

e-ISSN

—

Svazek periodika

40

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

1240-1252

Kód UT WoS článku

000637532800013

EID výsledku v databázi Scopus

2-s2.0-85099539397