TY - JOUR
T1 - Gabor filter-based automated strain computation from tagged MR images
AU - Manglik, Tushar
AU - Cernicanu, Alexandra
AU - Pai, Vinay
AU - Kim, Daniel
AU - Chen, Ting
AU - Dugal, Pradnya
AU - Batchu, Bharathi
AU - Axel, Leon
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2004
Y1 - 2004
N2 - Myocardial tagging is a non-invasive MR imaging technique; it generates a periodic tag pattern in the magnetization that deforms with the tissue during the cardiac cycle. It can be used to assess regional myocardial function, including tissue displacement and strain. Most image analysis methods require labor-intensive tag detection and tracking. We have developed an accurate and automated method for tag detection in order to calculate strain from tagged magnetic resonance images of the heart. It detects the local spatial frequency and phase of the tags using a bank of Gabor filters with varying frequency and phase. This variation in tag frequency is then used to calculate the local myocardial strain. The method is validated using computer simulations.
AB - Myocardial tagging is a non-invasive MR imaging technique; it generates a periodic tag pattern in the magnetization that deforms with the tissue during the cardiac cycle. It can be used to assess regional myocardial function, including tissue displacement and strain. Most image analysis methods require labor-intensive tag detection and tracking. We have developed an accurate and automated method for tag detection in order to calculate strain from tagged magnetic resonance images of the heart. It detects the local spatial frequency and phase of the tags using a bank of Gabor filters with varying frequency and phase. This variation in tag frequency is then used to calculate the local myocardial strain. The method is validated using computer simulations.
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U2 - 10.1007/978-3-540-30136-3_139
DO - 10.1007/978-3-540-30136-3_139
M3 - Conference article
AN - SCOPUS:20344405701
SN - 0302-9743
VL - 3217
SP - 1064
EP - 1066
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
IS - 1 PART 2
T2 - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings
Y2 - 26 September 2004 through 29 September 2004
ER -