Diffusion Magnetic Resonance Imaging with Applications to Cardiac Muscle: Short Review

[1] Le Bihan D; Molecular diffusion nuclear MR imaging. Magn. Reson. Q 1991; 7, 1-3010.1002/jmri.1880010103Search in Google Scholar

[2] Thomas DL, Lythgoe MF, Pell GS, Calamante F, Ordidge RJ; The measurement of diffusion and perfusion in biological systems using magnetic resonance imaging; Physics in Medicine and Biology 2000; 45 R9710.1088/0031-9155/45/8/201Search in Google Scholar

[3] P J Basser, C Pierpaoli; Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI; J Magn Reson B 1996 Jun;111(3):209-19.10.1006/jmrb.1996.0086Search in Google Scholar

[4] Le Bihan D, Breton E, Lallemand D, et al. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 1986;161:401–407.10.1148/radiology.161.2.3763909Search in Google Scholar

[5] Huisman TA. Diffusion-weighted imaging: basic concepts and application in cerebral stroke and head trauma; Eurpean Radiology; 2003; 13: 2283–229710.1007/s00330-003-1843-6Search in Google Scholar

[6] Inano R, Oishi N, Kunieda T, Arakawa Y, Yamao Y, Shibata S, Kikuchi T, Fukuyama H, Miyamoto S; Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading; Neuroimage Clin. 2014 Aug 7; 5: 396-407.10.1016/j.nicl.2014.08.001Search in Google Scholar

[7] Sandrasegaran K, Akisik FM, Lin C, Tahir B, Rajan J, Saxena R, Aisen AM, Value of Diffusion-weighted MRI for Assessing Liver Fibrosis and Cirrhosis; American Journal of Roentgenology, 2009; 193: 1556-1560.10.2214/AJR.09.2436Search in Google Scholar

[8] Steiger P, Barbieri S, Kruse A, Ith M, Thoeny HC; Selection for biopsy of kidney transplant patients by diffusion-weighted MRI; European Radiology; 2017, 27, (10) :4336-4344.10.1007/s00330-017-4814-zSearch in Google Scholar

[9] Song T, Chen WJ, Yang B, Zhao HP, Huang JW, Cai MJ, Dong TD, Li TS; Diffusion tensor imaging in the cervical spinal cord; European Spine Journal; 2011 Mar;20(3):422-8.10.1007/s00586-010-1587-3Search in Google Scholar

[10] Conturo TE, Lori NF, Cull TS, et al: Tracking neuronal fiber pathways in the living human brain; Proc National Acad. Science USA; 1999, 96: 10422-10427.10.1073/pnas.96.18.10422Search in Google Scholar

[11] Mekkaoui C, Huang S, Chen HH, Dai G, Reese TG, Kostis WJ, Thiagalingam A, Maurovich-Horvat P, Ruskin JN, Hoffmann U; Fiber architecture in remodeled myocardium revealed with a quantitative diffusion CMR tractography framework; J Cardiovasc Magn Reson; 2012; 14:70.10.1186/1532-429X-14-70Search in Google Scholar

[12] Naumova A and Yarnykh VL; Assessment of the Heart Microstructure: From Mouse to Man; Circulation. 2014 Apr 29; 129(17): 1720–1722.10.1161/CIRCULATIONAHA.114.009221Search in Google Scholar

[13] Axel L: MRI of the microarchitecture of myocardial infarction: are we seeing new kinds of structures? Circ Cardiovasc Imaging. 2009 May; 2(3):169-7010.1161/CIRCIMAGING.109.873372Search in Google Scholar

[14] Wu MT, Su MYM, Huang YL, Chiou KR, MD, et al, Van J. Wedeen Tseng WYI; Sequential changes in myocardial microstructure in patients postmyocardial infarction by DT cardiac MR: correlation with LV structure & function Circ Cardiovasc Imaging 2009, 2: 32-4010.1161/CIRCIMAGING.108.778902Search in Google Scholar

[15] Kim SS, Ko SM, Choi SII, Choi BH, Stillman AE; Sudden cardiac death from structural heart diseases in adults: imaging findings with cardiovascular computed tomography and magnetic resonance; International Journal ofCardiovascular Imaging; 2016 Jun;32 Suppl 1:21-4310.1007/s10554-016-0891-3Search in Google Scholar

[16] Stanisz G; Diffusion MR in biological systems: tissue compartments and exchange; Israel journal of chemistry; 2003, vol 43, issue 1-2, p 33-4410.1560/E0WU-7FFH-31M6-VLYTSearch in Google Scholar

[17] Van Zijl P and Le Bihan D; From the diffusion coefficient to the diffusion tensor; NMR in Biomedicine; 2002, 15: 431-43410.1002/nbm.798Search in Google Scholar

[18] Stejskal EO and Tanner IE: Spin diffusion measurements: spin echoes in the presence of time-dependent field gradient. J. Chem. Phys. 1965, 42; 288-29210.1063/1.1695690Search in Google Scholar

[19] Pop M, Ramanan V, Ghugre N, Morikawa L, Stanisz G, Dick AJ, Wright G: Quantification of fibrosis in infarcted swine hearts by ex vivo late gadolinium enhancement and diffusion-weighted MR methods; Physics in Medicine and Biology, 58 (15): 5009-5028, 201310.1088/0031-9155/58/15/5009Search in Google Scholar

[20] Matiello J, Basser PJ, Le Bihan D; The b matrix in diffusion tensor echo-planar imaging Magn Res Med 1997; (37) 292-30010.1002/mrm.1910370226Search in Google Scholar

[21] Tristan A, Aja Fernandez S, Westin CF; Least Squares for DT estimation revisited: propagation of uncertainty with Rician & non-Rician signals; Neuroimage, 2012, 15; 59(4): 4032–43.10.1016/j.neuroimage.2011.09.074Search in Google Scholar

[22] Reese TG, Weisskoff RM, Smith RN, Rosen BR, Dinsmore RE, Wedeen VJ. Imaging myocardial fiber architecture in vivo with MR. Magn Reson Med 1995; 34:786–791.10.1002/mrm.1910340603Search in Google Scholar

[23] Hsu EW, Muzikant AL, Matulevicius SA, Penland RC, Henriquez CS, Magnetic resonance myocardial fiber-orientation mapping with direct histological correlation; Am. J Physiology; 1998, vol 274 (5) H1627-H163410.1152/ajpheart.1998.274.5.H1627Search in Google Scholar

[25] Edelman RR, Gaa J, Wedeen VJ, Loh E, Hare JM, Prasad P, Li W; In vivo measurement of water diffusion in the human heart. Magn Reson Med 1994, 32:423–428.10.1002/mrm.1910320320Search in Google Scholar

[24] Helm P, Tseng H, L. Younes L, McVeigh ER, and Winslow R: Ex vivo 3D diffusion tensor imaging and quantification of cardiac laminar structure, Magnc Res in Medicine: 2005, 54, 85010.1002/mrm.20622Search in Google Scholar

[26] Jiang H, PCM. van Zijl, Kim J, Pearlson GD, Susumu Mori S; DTIstudio resource program for diffusion tensor computation and fibre bundle tracking; Computer methods and programs in biomedicine; 2006, 81; I06-I1610.1016/j.cmpb.2005.08.004Search in Google Scholar

[27] Pop M, Sermesant M, Lepiler D, Soong A, Crystal E, McVeigh ER, Ayache N, Wright G; Fusion of optical and MRI for evaluation of macroscopic cardiac computer models: a feasibility study; Medical Image Analysis, Vol. 13 (2): 370-380, 200910.1016/j.media.2008.07.002Search in Google Scholar

[28] Pop M, Sermesant M, Liu G, Relan J, Mansi T, Soong A, Truong MV, et al: Construction of 3D MRI-based computer models of pathologic hearts, augmented with histology and optical imaging to characterize the action potential propagation" Medical Image Analysis, 2012, 6(2): 505-523.10.1016/j.media.2011.11.007Search in Google Scholar

[29] Lin P, Martel AL, Camilleri-Newbigging S, Pop M; Co-registered cardiac ex vivo DT images and histological images for fibrosis quantification; Lecture Notes in Computer Science (Springer), vol 12009, pages 3-11, 202010.1007/978-3-030-39074-7_1Search in Google Scholar

[30] Wu EX, Wu Y, Nicholls, Wang J, Liao S, Zhu S, Lau CP, Tse HF: MR DTI study of postinfarct myocardium structural remodelling in a porcine model Magn Res Med, 2007, 687-69510.1002/mrm.21350Search in Google Scholar

[31] Goblot D, Pop M, Siddiqi K; Cartan frame for fiber direction using diffusion tensor imaging DTI in hearts with infarcts; Lecture Notes in Computer Science - Springer, Vol 10124, pp 87-85, 201710.1007/978-3-319-52718-5_10Search in Google Scholar

[32] Wallenberg M, Pop M, Wood MG, Gosh N, Vitkin AI: Comparison of optical polarimetry and diffusion tensor MR imaging to assess myocardial anisotropy; Journal of Innovative Optical Health Sciences (JIOHS), Vol 3 (2): 109-121, 201010.1142/S1793545810000976Search in Google Scholar

[33] Mojica M, Pop M, Sermesant M, Ebrahimi M; Novel atlas of fiber directions from high resolution ex vivo diffusion tensor images of porcine hearts; Computer Methods and Programs in Biomedicine, vol 187, 105200, April 2020 [32]10.1016/j.cmpb.2019.105200Search in Google Scholar

[34] Welsh C, Di Bella E, Hsu E. Higher-order motion-compensation for in vivo cardiac diffusion tensor imaging in rats. IEEE Trans Med Imaging 2015; 34:1843–185310.1109/TMI.2015.2411571Search in Google Scholar

[35] Nguyen CT, Buckberg G, Li D; Magnetic Resonance Diffusion Tensor Imaging Provides New Insights into the Microstructural Alterations in Dilated Cardiomyopathy; Circ Cardiovasc Imaging. 2016 Oct; 9(10): e005593.10.1161/CIRCIMAGING.116.005593Search in Google Scholar

[36] Nguyen C,1 Fan Z,1 Xie Y,1 Pang Y, Speier P, Xiaoming Bi, Kobashigawa J, Li D; in vivo diffusion-tensor mri of the human heart on a 3t clinical scanner: an optimized second order (m2) motion compensated diffusion-preparation Magn Reson Med. 2016 Nov; 76(5): 1354–1363.10.1002/mrm.26380Search in Google Scholar

[37] Stoeck CT, Kalinowska A, von Deuster C, et al. Dual-phase cardiac diffusion tensor imaging with strain correction. PLoS One 2014; 9:e10715910.1371/journal.pone.0107159Search in Google Scholar

[38] Hrabe J, Kaur G, Guilfoyle D Principles and limitations of NMR diffusion measurements; J Med Phys, 2007 Jan-Mar; 32(1): 34–42.10.4103/0971-6203.31148Search in Google Scholar

[39] Huang J, Wang L, Chu C, Liu W, Zhu Y; Accelerating cardiac diffusion tensor imaging combining local low-rank and 3D TV constraint; MAGMA. 2019 Aug;32(4):407-422.10.1007/s10334-019-00747-1Search in Google Scholar

[40] Ferreira P, Martin R, Scott AD, Khalique Z, et al; Automating in vivo cardiac diffusion tensor post-processing with deep learning–based segmentation; Magn Res Med, 2020, 84 (5), 2801-1410.1002/mrm.28294Search in Google Scholar