Joint Eigenvector Estimation from Mutually Anisotropic Tensors Improves Susceptibility Tensor Imaging of the Brain, Kidney, and Heart

Overview

Journal Magn Reson Med

Publisher Wiley

Specialty Radiology

Date 2016 Jul 8

PMID 27385561

Citations 6

Authors

Russell Dibb

Chunlei Liu

Affiliations

Soon will be listed here.

Abstract

Purpose: To develop a susceptibility-based MRI technique for probing microstructure and fiber architecture of magnetically anisotropic tissues-such as central nervous system white matter, renal tubules, and myocardial fibers-in three dimensions using susceptibility tensor imaging (STI) tools.

Theory And Methods: STI can probe tissue microstructure, but is limited by reconstruction artifacts because of absent phase information outside the tissue and noise. STI accuracy may be improved by estimating a joint eigenvector from mutually anisotropic susceptibility and relaxation tensors. Gradient-recalled echo image data were simulated using a numerical phantom and acquired from the ex vivo mouse brain, kidney, and heart. Susceptibility tensor data were reconstructed using STI, regularized STI, and the proposed algorithm of mutually anisotropic and joint eigenvector STI (MAJESTI). Fiber map and tractography results from each technique were compared with diffusion tensor data.

Results: MAJESTI reduced the estimated susceptibility tensor orientation error by 30% in the phantom, 36% in brain white matter, 40% in the inner medulla of the kidney, and 45% in myocardium. This improved the continuity and consistency of susceptibility-based fiber tractography in each tissue.

Conclusion: MAJESTI estimation of the susceptibility tensors yields lower orientation errors for susceptibility-based fiber mapping and tractography in the intact brain, kidney, and heart. Magn Reson Med 77:2331-2346, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Citing Articles

DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging.

Fang Z, Lai K, van Zijl P, Li X, Sulam J Med Image Anal. 2023; 87:102829.

PMID: 37146440 PMC: 10288385. DOI: 10.1016/j.media.2023.102829.

Quantitative susceptibility mapping (QSM) of the cardiovascular system: challenges and perspectives.

Aimo A, Huang L, Tyler A, Barison A, Martini N, Saccaro L J Cardiovasc Magn Reson. 2022; 24(1):48.

PMID: 35978351 PMC: 9387036. DOI: 10.1186/s12968-022-00883-z.

Can myocardial susceptibility quantification be an imaging biomarker for cardiac amyloidosis?.

Hayashi H, Oda S, Kidoh M, Nakaura T, Morita K, Nagayama Y Jpn J Radiol. 2021; 40(5):500-507.

PMID: 34841460 PMC: 9068634. DOI: 10.1007/s11604-021-01228-z.

Asymmetric susceptibility tensor imaging.

Cao S, Wei H, Chen J, Liu C Magn Reson Med. 2021; 86(4):2266-2275.

PMID: 34014008 PMC: 8678077. DOI: 10.1002/mrm.28823.

Spin echo based cardiac diffusion imaging at 7T: An ex vivo study of the porcine heart at 7T and 3T.

Lohr D, Terekhov M, Weng A, Schroeder A, Walles H, Schreiber L PLoS One. 2019; 14(3):e0213994.

PMID: 30908510 PMC: 6433440. DOI: 10.1371/journal.pone.0213994.

References

Cherubini A, Peran P, Hagberg G, Varsi A, Luccichenti G, Caltagirone C . Characterization of white matter fiber bundles with T2* relaxometry and diffusion tensor imaging. Magn Reson Med. 2009; 61(5):1066-72. DOI: 10.1002/mrm.21978. View

Scollan D, Holmes A, Winslow R, Forder J . Histological validation of myocardial microstructure obtained from diffusion tensor magnetic resonance imaging. Am J Physiol. 1998; 275(6):H2308-18. DOI: 10.1152/ajpheart.1998.275.6.H2308. View

Jenkinson M, Bannister P, Brady M, Smith S . Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage. 2002; 17(2):825-41. DOI: 10.1016/s1053-8119(02)91132-8. View

Kohler S, Hiller K, Waller C, Jakob P, Bauer W, Haase A . Visualization of myocardial microstructure using high-resolution T*2 imaging at high magnetic field. Magn Reson Med. 2003; 49(2):371-5. DOI: 10.1002/mrm.10346. View

Greenbaum R, Ho S, Gibson D, Becker A, Anderson R . Left ventricular fibre architecture in man. Br Heart J. 1981; 45(3):248-63. PMC: 482521. DOI: 10.1136/hrt.45.3.248. View

Wharton S, Bowtell R . Effects of white matter microstructure on phase and susceptibility maps. Magn Reson Med. 2014; 73(3):1258-69. PMC: 4359018. DOI: 10.1002/mrm.25189. View

Mori S, Itoh R, Zhang J, Kaufmann W, van Zijl P, Solaiyappan M . Diffusion tensor imaging of the developing mouse brain. Magn Reson Med. 2001; 46(1):18-23. DOI: 10.1002/mrm.1155. View

Johnson G, Cofer G, Gewalt S, Hedlund L . Morphologic phenotyping with MR microscopy: the visible mouse. Radiology. 2002; 222(3):789-93. DOI: 10.1148/radiol.2223010531. View

Schofield M, Zhu Y . Fast phase unwrapping algorithm for interferometric applications. Opt Lett. 2003; 28(14):1194-6. DOI: 10.1364/ol.28.001194. View

10.

Liu C, Li W, Johnson G, Wu B . High-field (9.4 T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility. Neuroimage. 2011; 56(3):930-8. PMC: 3085608. DOI: 10.1016/j.neuroimage.2011.02.024. View

11.

Lee J, van Gelderen P, Kuo L, Merkle H, Silva A, Duyn J . T2*-based fiber orientation mapping. Neuroimage. 2011; 57(1):225-234. PMC: 3119254. DOI: 10.1016/j.neuroimage.2011.04.026. View

12.

Pope A, Sands G, Smaill B, LeGrice I . Three-dimensional transmural organization of perimysial collagen in the heart. Am J Physiol Heart Circ Physiol. 2008; 295(3):H1243-H1252. PMC: 2544485. DOI: 10.1152/ajpheart.00484.2008. View

13.

Dibb R, Qi Y, Liu C . Magnetic susceptibility anisotropy of myocardium imaged by cardiovascular magnetic resonance reflects the anisotropy of myocardial filament α-helix polypeptide bonds. J Cardiovasc Magn Reson. 2015; 17:60. PMC: 4504227. DOI: 10.1186/s12968-015-0159-4. View

14.

Xie L, Dibb R, Cofer G, Li W, Nicholls P, Johnson G . Susceptibility tensor imaging of the kidney and its microstructural underpinnings. Magn Reson Med. 2014; 73(3):1270-81. PMC: 4183741. DOI: 10.1002/mrm.25219. View

15.

Liu C, Li W, Wu B, Jiang Y, Johnson G . 3D fiber tractography with susceptibility tensor imaging. Neuroimage. 2011; 59(2):1290-8. PMC: 3235503. DOI: 10.1016/j.neuroimage.2011.07.096. View

16.

Cavaglia M, Dombrowski S, Drazba J, Vasanji A, Bokesch P, Janigro D . Regional variation in brain capillary density and vascular response to ischemia. Brain Res. 2001; 910(1-2):81-93. DOI: 10.1016/s0006-8993(01)02637-3. View

17.

Strijkers G, Bouts A, Blankesteijn W, Peeters T, Vilanova A, van Prooijen M . Diffusion tensor imaging of left ventricular remodeling in response to myocardial infarction in the mouse. NMR Biomed. 2008; 22(2):182-90. DOI: 10.1002/nbm.1299. View

18.

Wu B, Li W, Avram A, Gho S, Liu C . Fast and tissue-optimized mapping of magnetic susceptibility and T2* with multi-echo and multi-shot spirals. Neuroimage. 2011; 59(1):297-305. PMC: 3235505. DOI: 10.1016/j.neuroimage.2011.07.019. View

19.

Bender B, Klose U . The in vivo influence of white matter fiber orientation towards B(0) on T2* in the human brain. NMR Biomed. 2010; 23(9):1071-6. DOI: 10.1002/nbm.1534. View

20.

van Gelderen P, Mandelkow H, de Zwart J, Duyn J . A torque balance measurement of anisotropy of the magnetic susceptibility in white matter. Magn Reson Med. 2014; 74(5):1388-96. PMC: 4431960. DOI: 10.1002/mrm.25524. View