TY - JOUR
T1 - Fast tracking of cardiac motion using 3D-HARP
AU - Pan, Li
AU - Prince, Jerry L.
AU - Lima, João A.C.
AU - Osman, Nael F.
N1 - Funding Information:
Manuscript received July 30, 2004; revised January 9, 2005. This work was supported in part by the National Heart, Lung, and Blood Institute (NHLBI) under Grant HL072704 and Grant HL66075. N. F. Osman and J. L. Prince are founders of and own stock in Diagnosoft, Inc., a company that seeks to license the HARP technology. The terms of this arrangement are being managed by the Johns Hopkins University in accordance with its conflict of interest policies. Asterisk indicates corresponding author. *L. Pan is with the Department of Biomedical Engineering, Johns Hopkins School of Medicine, 601 N. Caroline St. JHOC 4240, Baltimore, MD 21287 USA (e-mail: lipan@bme.jhu.edu).
PY - 2005/8
Y1 - 2005/8
N2 - Magnetic resonance (MR) tagging is capable of accurate, noninvasive quantification of regional myocardial function. Routine clinical use, however, is hindered by cumbersome and time-consuming postprocessing procedures. We propose a fast, semiautomatic method for tracking three-dimensional (3-D) cardiac motion from a temporal sequence of short- and long-axis tagged MR images. The new method, called 3-D-HARmonic Phase (3D-HARP), extends the HARP approach, previously described for two-dimensional (2-D) tag analysis, to 3-D. A 3-D material mesh model is built to represent a collection of material points inside the left ventricle (LV) wall at a reference time. Harmonic phase, a material property that is time-invariant, is used to track the motion of the mesh through a cardiac cycle. Various motion-related functional properties of the myocardium, such as circumferential strain and left ventricular twist, are computed from the tracked mesh. The correlation analysis of 3D-HARP and FINDTAGS + Tag Strain(E) Analysis (TEA), which are well-established tag analysis techniques, shows that the regression coefficients of circumferential strain (E CC) and twist angle are r 2 = 0.8605 and r 2 = 0.8645, respectively. The total time required for tracking 3-D cardiac motion is approximately 10 min in a 9 timeframe tagged MRI dataset and has the potential to be much faster.
AB - Magnetic resonance (MR) tagging is capable of accurate, noninvasive quantification of regional myocardial function. Routine clinical use, however, is hindered by cumbersome and time-consuming postprocessing procedures. We propose a fast, semiautomatic method for tracking three-dimensional (3-D) cardiac motion from a temporal sequence of short- and long-axis tagged MR images. The new method, called 3-D-HARmonic Phase (3D-HARP), extends the HARP approach, previously described for two-dimensional (2-D) tag analysis, to 3-D. A 3-D material mesh model is built to represent a collection of material points inside the left ventricle (LV) wall at a reference time. Harmonic phase, a material property that is time-invariant, is used to track the motion of the mesh through a cardiac cycle. Various motion-related functional properties of the myocardium, such as circumferential strain and left ventricular twist, are computed from the tracked mesh. The correlation analysis of 3D-HARP and FINDTAGS + Tag Strain(E) Analysis (TEA), which are well-established tag analysis techniques, shows that the regression coefficients of circumferential strain (E CC) and twist angle are r 2 = 0.8605 and r 2 = 0.8645, respectively. The total time required for tracking 3-D cardiac motion is approximately 10 min in a 9 timeframe tagged MRI dataset and has the potential to be much faster.
KW - 3-D-HARmonic Phase (3D-HARP)
KW - Cardiac motion tracking
KW - MR tagging
KW - Phase time-invariance
KW - Strain computation
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U2 - 10.1109/TBME.2005.851490
DO - 10.1109/TBME.2005.851490
M3 - Article
C2 - 16119238
AN - SCOPUS:23844498958
SN - 0018-9294
VL - 52
SP - 1425
EP - 1435
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 8
ER -