Optimising T2 relaxation measurements on MS patients utilising a multi-component tissue mimicking phantom and different fitting algorithms in T2 calculations

Georgios I Kalaitzakis, Efrosini Papadaki, Eleftherios Kavroulakis, Themistoklis Boursianis, Konstantinos Marias, Thomas G Maris

Abstract


Purpose: To evaluate the optimal regression fitting algorithm for T2 relaxation time measurements on relapsing remitting multiple sclerosis (RRMS) patients and Healthy Subjects (HS) with the aid of a multi-component tissue mimicking phantom.

Material and Methods: Twenty eight glass test tubes were filled mainly with (a) standard EUROSPIN test objects, (b) Gd-DTPA hydatic solutions, (c) milk creams with various fat contents and (d) raw eggs with various relative concentrations of egg-white and egg-yellow parts. Two patients with relapsing remitting multiple sclerosis (RRMS) and a healthy volunteer were examined. A multi-echo spin echo sequence (32 echoes) was used for all the phantom and human subjects T2 measurements. T2 relaxation parametric maps for the phantoms and the human subjects were calculated utilising a Conventional-Linear (CL), a Weighted-Linear (WL), a Non-Linear (NL) and a Double-Exponential-Non-Linear-Fit (DENLF) regression fitting methods.

Results: A single T2 relaxation behaviour was observed for EUROSPIN and Gd-DTPA solution test tubes. A double T2 relaxation behaviour, revealed only by DENLF, was observed for milk creams, raw eggs, Normal-White-Matter (NWM) of a healthy subject and Normal-Appearing-White-Matter (NAWM) and focal lesions of RRMS patients.

Conclusions: WL, NL and DENLF algorithms proved to be an excellent means for optimised measurements of T2 values on tissue mimicking phantoms, NWM, NAWM and demyelinating lesions of RRMS patients. DENLF provides additional information related to differentiation of molecular environments in either phantoms or human subjects.


Keywords


Multi exponential T2; Multi-component phantom; T2 myelin; multiple sclerosis; Demyelination

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References


Jones C, MacKay A, Rutt B. Bi-exponential T2 Decay in Dairy Cream Phantoms. Magn Reson Imaging 1998; 16: 83-85.

Carneiro AAO, Vilela GR, de Araujo DB, et al. MRI Relaxometry: Methods and Applications. Braz J Phys 2006; 36: 9-15.

Whittal KP, MacKay AL, Li DK. Are mono-exponential Fits to a Few Echoes Sufficient to determine T2 Relaxation for in vivo human brain? Magn Reson Med 1999; 41: 1255-1257.

MacKay A, Whittall K, Adler J, et al. In vivo visualization of myelin water in brain by magnetic resonance. Magn Reson Med 1994; 31: 673-677.

Liu H, Yang Y, Xia Y, et al. Aging of cerebral white matter. Ageing Res Rev 2017; 34: 64-76.

Kumar R, Delshad S, Woo MA, et al. Age-Related regional brain T2-Relaxation changes in healthy adults. J Magn Reson Imaging 2012; 35(2): 300-308.

Levesque IR, Pike GB. Characterizing healthy and diseased white matter using quantitative magnetization transfer and multicomponent T2 relaxometry: an unified view via a four-pool model. Magn Reson Med 2009; 62: 1487-1496.

Kumar R, Delshad S, Macey PM, et al. Development of T2-relaxation values in regional brain sites during adolescence. Magn Reson Imaging 2011; 29(2): 185-193.

Grydeland H, Walhowd KB, Tamnes CK, et al. Intracortical myelin links with performance variability across the human lifespan: results from t1- and t2- weighted mri myelin mapping and diffusion tensor imaging. J Neurosci 2013; 33(47): 18618 -18630.

Saito N, Sakai O, Ozonoff A, et al. Relaxo-volumetric multispectral quantitative magnetic resonance imaging of the brain over the human lifespan: global and regional aging patterns. Magn Reson Imaging 2009; 27: 895-906.

Badvem C, Yu A, Rogers M, et al. Simultaneous T1 and T2 brain relaxometry in asymptomatic volunteers using magnetic resonance fingerprinting. Tomography 2015; 1(2): 136-144.

Alonso-Ortiz E, Levesque IR, Pike GB. MRI-Based myelin water imaging: a technical review. Magn Reson Med 2015; 73: 70-81.

Billiet T, Vandenbulcke M, Madler B, et al. Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI. Neurobiol Aging 2015; 36: 2107-2121.

Laule C, Vavasour IM, Madler B, et al. MR Evidence of long T2 water in pathological white matter. J Magn Reson Imaging 2007; 26: 1117-1121.

Lerski RA, De Certaines JD. Performance assessment and quality control in MRI by Eurospin test objects and protocols. J Magn Reson Imaging 1993; 11(6): 817-833.

Lerski RA, McRobbie DW, Straughan K, et al. Multi-center trial with protocols and prototype test objects for the assessment of MRI equipment. EEC Concerted Research Project. Magn Reson Imaging 1998: 6(2): 201-214.

Price PR, Axel L, Morgan T, et al. Quality assurance methods and phantoms for magnetic resonance imaging: report of AAPM nuclear magnetic resonance Task Group No. 1. Med Phys 1990: 17(2): 287-295.

Fransson A, Ericsson A, Jung B, et al. Properties of the PHase-Alternating Phase-Shift (PHAPS) multiple spin-echo protocol in MRI: A study of the effects of imperfect RF pulses. Magn Reson Imaging 1993; 11: 771-784.

Maris TG, Damilakis J, Sideri L, et al. Assessment of the skeletal status by MR relaxometry techniques of the lumbar spine: comparison with dual X-ray absorptiometry. Eur J Radiol 2004; 50: 245-256.

Marquardt DW. An algorithm for least squares estimation of non-linear parameters. J Soc Industr Appl Math 1963; 2: 431-441.

Draper NR, Smith H. Applied regression analysis. Wiley, New York, 1966, pp 272-274.

Breger RK, Rimm AA, Fischer ME, et al. T1 and T2 measurements on a 1.5-T commercial MR Imager. Radiology 1989; 171: 273-276.

Vasilescu V, Katona E, Simplaceanu V, et al. Water compartments in the myelinated nerve III. Pulsed NMR result. Experientia 1978; 34 (11): 1443-1444.

Lebel RM, Wilman AH. Transverse relaxometry with stimulated echo compensation. Magn Reson Med 2010; 64: 1005-1014.

Moll NM, Rietsch AM, Thomas S, et al. Multiple sclerosis normal-appearing white matter: pathology-imaging correlations. Ann Neurol 2011; 70(5): 764-773.

Kavroulakis E, Simos GP, Kalaitzakis, G et al. Myelin content changes in probable alzheimer’s disease and mild cognitive impairment: associations with age and severity of neuropsychiatric impairment. J Magn Reson Imaging 2017; 47(5): 1359-1372.

Papadaki E, Kavroulakis E, Kalaitzakis G, et al. Age Related Deep White Matter Changes in Myelin and Water Content: A T2 Relaxomety study. J Magn Reson Imaging 2019 doi: 10.1002/jmri.26707. [Epub ahead of print].

Oh J, Han ET, Lee MC, et al. Multislice brain myelin water fractions at 3T in multiple sclerosis. J Neuroimaging 2007; 17: 156-163.

Tozer DJ, Davies GR, Altmann DR, et al. Correlation of apparent myelin measures obtained in multiple sclerosis patients and controls from magnetization transfer and multicompartmental T2 analysis. Magn Reson Med 2005; 53: 1415-1422.

Rumbach L, Armspach JP, Gounot D, et al. Nuclear magnetic resonance T2 relaxation times in multiple sclerosis. J Neurol Sci 1991; 104: 176-181.

Kitzler HH, Su J, Zeineh M, et al. Deficient MWF mapping in multiple sclerosis using 3D whole brain multi-component relaxation MRI. Neuroimage 2012; 59(3): 2670-2677.

Kolind S, Matthews L, Johansen-Berg H, et al. Myelin water imaging reflects clinical variability in multiple sclerosis. Neuroimage 2012; 60: 264-270.

Vavasour IM, Whittall KP, Li DKB, et al. Different magnetization transfer effects exhibited by the short and long T2 components inhuman brain. Magn Reson Med 2000; 44: 860-866.

Oshio K, Feinberg DA. GRASE (Gradient-and Spin-Echo) imaging: a novel fast MRI technique. Magn Reson Med 1991; 20: 344-349.

Nguyen TD, Wisnieff C, Cooper MA, et al. T2 prep three-dimensional spiral imaging with efficient whole brain coverage for myelin water quantification at 1.5 tesla. Magn Reson Med 2012; 67: 614-621.

Deoni SCL, Rutt BK, Peters TM. Rapid combined T1 and T2 mapping using gradient recalled acquisition in the steady state. Magn Reson Med 2003; 49: 515-526.

Deoni SCL, Rutt BK, Arun T, et al. Gleaning multicomponent T1 and T2 information from steady-state imaging data. Magn Reson Med 2008; 60: 1372-1387.




DOI: http://dx.doi.org/10.36162/hjr.v4i2.293

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