Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI

Liew, Yih Miin and McLaughlin, R.A. and Chan, B.T. and Aziz, Y.F.A. and Chee, K.H. and Ung, N.M. and Tan, L.K. and Lai, K.W. and Ng, S. and Lim, E. (2015) Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI. Physics in Medicine & Biology, 60 (7). pp. 2715-2733. ISSN 0031-9155

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Cine MRI is a clinical reference standard for the quantitative assessment of cardiac function, but reproducibility is confounded by motion artefacts. We explore the feasibility of a motion corrected 3D left ventricle (LV) quantification method, incorporating multislice image registration into the 3D model reconstruction, to improve reproducibility of 3D LV functional quantification. Multi-breath-hold short-axis and radial long-axis images were acquired from 10 patients and 10 healthy subjects. The proposed framework reduced misalignment between slices to subpixel accuracy (2.88 to 1.21 mm), and improved interstudy reproducibility for 5 important clinical functional measures, i.e. end-diastolic volume, end-systolic volume, ejection fraction, myocardial mass and 3D-sphericity index, as reflected in a reduction in the sample size required to detect statistically significant cardiac changes: a reduction of 21-66. Our investigation on the optimum registration parameters, including both cardiac time frames and number of long-axis (LA) slices, suggested that a single time frame is adequate for motion correction whereas integrating more LA slices can improve registration and model reconstruction accuracy for improved functional quantification especially on datasets with severe motion artefacts.

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Additional Information: ISI Document Delivery No.: CF4JU Times Cited: 0 Cited Reference Count: 43 Cited References: Adhyapak S M, 2013, INTERACT CARDIOV TH, V18, P153 Bellenger NG, 2000, J CARDIOV MAGN RESON, V2, P271, DOI 10.3109/10976640009148691 Bellenger NG, 2000, J CARDIOV MAGN RESON, V2, P15, DOI 10.3109/10976640009148669 Bogaert J G, 1995, MAGMA, V3, P5, DOI 10.1007/BF02426395 Carminati MC, 2014, COMPUT BIOL MED, V46, P42, DOI 10.1016/j.compbiomed.2013.12.013 Chabiniok R, 2012, BIOMECH MODEL MECHAN, V11, P609, DOI 10.1007/s10237-011-0337-8 Chandler A, 2008, MAGNETIC RESONANCE I, V10, P13 Cheng-Baron J, 2014, MAGN RESON MED de Marvao A, 2014, J CARDIOVASC MAGN R, V16, DOI 10.1186/1532-429X-16-16 de Boor C., 1972, Journal of Approximation Theory, V6, DOI 10.1016/0021-9045(72)90080-9 Dikaios N, 2012, EUR RADIOL, V22, P439, DOI 10.1007/s00330-011-2274-4 Elen A, 2010, IEEE T MED IMAGING, V29, P868, DOI 10.1109/TMI.2009.2039145 Flannery B. P., 1992, NUMERICAL RECIPES C Frangi AF, 2001, IEEE T MED IMAGING, V20, P2, DOI 10.1109/42.906421 Gandy SJ, 2008, INT J CARDIOVAS IMAG, V24, P627, DOI 10.1007/s10554-008-9293-5 Heiberg Einar, 2010, BMC Med Imaging, V10, P1, DOI 10.1186/1471-2342-10-1 Hoschek J., 1993, FUNDAMENTALS COMPUTE Hudsmith LE, 2005, J CARDIOVASC MAGN R, V7, P775, DOI 10.1080/10976640500295516 Jaroni J, 2013, ACAD RADIOL, V20, P987, DOI 10.1016/j.acra.2013.03.012 Kirschbaum SW, 2008, INVEST RADIOL, V43, P1, DOI 10.1097/RLI.0b013e318154b1dc Kreyszig E., 2007, ADV ENG MATH Lotjonen J, 2005, ACAD RADIOL, V12, P1273, DOI 10.1016/j.acra.2005.07.002 Ma YL, 2012, PHYS MED BIOL, V57, P2953, DOI 10.1088/0031-9155/57/10/2953 Makela T, 2003, MED IMAGE ANAL, V7, P377, DOI 10.1016/S1361-8415(03)00012-4 Makela T, 2002, IEEE T MED IMAGING, V21, P1011, DOI 10.1109/TMI.2002.804441 Makowski MR, 2012, J CARDIOVASC MAGN R, V14, DOI 10.1186/1532-429X-14-53 Mannaerts HFJ, 2004, EUR HEART J, V25, P680, DOI 10.1016/j.ehj.2004.02.030 O'Dell WG, 2000, ANNU REV BIOMED ENG, V2, P431, DOI 10.1146/annurev.bioeng.2.1.431 Pluim JPW, 2003, IEEE T MED IMAGING, V22, P986, DOI 10.1109/TMI.2003.815867 Sebastian R, 2010, LECT NOTES COMPUT SC, V6364, P222, DOI 10.1007/978-3-642-15835-3₂₃ SEMELKA RC, 1990, RADIOLOGY, V174, P763 Sharma G, 2009, INT J PARALLEL PROG, V37, P3, DOI 10.1007/s10766-008-0082-5 Slomka PJ, 2007, J MAGN RESON IMAGING, V25, P965, DOI 10.1002/jmri.20909 Swingen C, 2003, INT J CARDIOVAS IMAG, V19, P325, DOI 10.1023/A:1025450211508 Swingen C, 2004, J CARDIOV MAGN RESON, V6, P829, DOI 10.1081/JCMR-200039147 Swingen CM, 2003, J MAGN RESON IMAGING, V17, P528, DOI 10.1002/jmri.10290 Theisen D, 2009, INVEST RADIOL, V44, P463, DOI 10.1097/RLI.0b013e3181aaf429 Thevenaz P, 1998, IEEE T IMAGE PROCESS, V7, P27, DOI 10.1109/83.650848 Tobon-Gomez C, 2010, IEEE ENG MED BIO, P2642, DOI 10.1109/IEMBS.2010.5626538 Tobon-Gomez C, 2012, PHYS MED BIOL, V57, P4155, DOI 10.1088/0031-9155/57/13/4155 Wech T, 2014, ROFO-FORTSCHR RONTG, V186, P37, DOI 10.1055/s-0033-1350521 Xia L, 2005, PHYS MED BIOL, V50, P1901, DOI 10.1088/0031-9155/50/8/018 Young AJ, 2011, MED SCI SPORT EXER, V43, P1, DOI 10.1249/MSS.0b013e3182029fa3 Liew, Y. M. McLaughlin, R. A. Chan, B. T. Aziz, Y. F. Abdul Chee, K. H. Ung, N. M. Tan, L. K. Lai, K. W. Ng, S. Lim, E. McLaughlin, Robert/E-1430-2011; Lai, Khin Wee/A-2997-2011; Engineering, Faculty /I-7935-2015 McLaughlin, Robert/0000-0001-6947-5061; Lai, Khin Wee/0000-0002-8602-0533; Engineering, Faculty /0000-0002-4848-7052 Ministry of Higher Education of Malaysia UM.C/HIR/MOHE/ENG/50; University of Malaya RP028-14HTM; National Health and Medical Research Council, Australia Authors thank Ministry of Higher Education of Malaysia (UM.C/HIR/MOHE/ENG/50) and University of Malaya Research Grant (RP028-14HTM) for financial support. RAM is funded by the National Health and Medical Research Council, Australia. 0 IOP PUBLISHING LTD BRISTOL PHYS MED BIOL
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 07 Mar 2016 06:38
Last Modified: 03 Jan 2020 04:19

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