Characterizing white matter with magnetization transfer and T(2).

A magnetization-transfer (MT) CPMG hybrid experiment was performed to analyze T(2) relaxation and MT characteristics in bovine optic nerve. Two exchanging liquid pools with their own, independent MT characteristics were necessary to model both the T(2) relaxation and the MT data. The model agrees well with the experimental data and yields physically realistic parameters. The MT effect for myelin water is approximately nine time larger than that for intra/intercellular water, indicating that the MT characteristics observed for white matter are mainly related to myelin. The model can be used to probe parameters that would be difficult to achieve experimentally. The exchange process between the two tissue compartments does not drastically affect the amplitudes and relaxation rates of the T(2) components, but is fast enough to significantly influence their MT characteristics. Although, both the MT and T(2) experiments described in this paper are too time consuming to be applied in routine clinical work, presented results can be useful in interpreting clinical pulse sequences that are sensitive to myelin. Magn Reson Med 42:1128-1136, 1999.     

磁共振脑灰白质成像在脑灰质异位症中的临床应用

目的：探讨磁共振脑灰白质成像在脑灰质异位症中的诊断价值。方法：回顾性分析5例经临床及MRI检查确诊的脑灰质异位症患者，全部患者均行脑MRI常规T1WI、T2WI序列、FLAIR序列和脑灰白质成像检查。结果：5例脑灰质异位症患者在MRI各扫描序列上病灶信号与脑灰质信号完全相同，特别是在脑灰白质成像上对异位的灰质灶观察更为满意，更有利于判断病变的性质。结论：脑灰白质成像在观察灰质异位方面有独到价值，在分析癫痫病因方面可提供更直接的影像学信息。对于脑灰质异位症患者，脑灰白质成像对于帮助发现病灶并判断其性质甚为必要，是对常规序列的必要补充，具有较高的临床应用价值。     

Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes

Purpose:

To develop an automated lesion‐filling technique (LEAP; LEsion Automated Preprocessing) that would reduce lesion‐associated brain tissue segmentation bias (which is known to affect automated brain gray [GM] and white matter [WM] tissue segmentations in people who have multiple sclerosis), and a WM lesion simulation tool with which to test it.

Materials and Methods:

Simulated lesions with differing volumes and signal intensities were added to volumetric brain images from three healthy subjects and then automatically filled with values approximating normal WM. We tested the effects of simulated lesions and lesion‐filling correction with LEAP on SPM‐derived tissue volume estimates.

Results:

GM and WM tissue volume estimates were affected by the presence of WM lesions. With simulated lesion volumes of 15 mL at 70% of normal WM intensity, the effect was to increase GM fractional (relative to intracranial) volumes by ≈2.3%, and reduce WM fractions by ≈3.6%. Lesion filling reduced these errors to ≈0.1%.

Conclusion:

The effect of WM lesions on automated GM and WM volume measures may be considerable and thereby obscure real disease‐mediated volume changes. Lesion filling with values approximating normal WM enables more accurate GM and WM volume measures and should be applicable to structural scans independently of the software used for the segmentation. J. Magn. Reson. Imaging 2010. © 2010 Wiley‐Liss, Inc.     

Highly diffusion-sensitized MRI of brain: dissociation of gray and white matter.

The brains of six healthy volunteers were scanned with a full tensor diffusion MRI technique to study the effect of a high b value on diffusion-weighted images (DWIs). The b values ranged from 500 to 5000 s/mm(2). Isotropic DWIs, trace apparent diffusion coefficient (ADC) maps, and fractional anisotropy (FA) maps were created for each b value. As the b value increased, ADC decreased in both the gray and white matter. Furthermore, ADC of the white matter became lower than that of the gray matter, and, as a result, the white matter became brighter than the gray matter in the isotropic DWIs. Quantitative analysis showed that these changes were due to nonmonoexponential diffusion signal decay of the brain tissue, which was more prominent in white matter than in gray matter. There was no significant change in relation to the b value in the FA maps. High b value appears to have a dissociating effect on gray and white matter in DWIs.     

Improving MRI differentiation of gray and white matter in epileptogenic lesions based on nonlinear feedback.

A new method for enhancing MRI contrast between gray matter (GM) and white matter (WM) in epilepsy surgery patients with symptomatic lesions is presented. This method uses the radiation damping feedback interaction in high-field MRI to amplify contrast due to small differences in resonance frequency in GM and WM corresponding to variations in tissue susceptibility. High-resolution radiation damping-enhanced (RD) images of in vitro brain tissue from five patients were acquired at 14 T and compared with corresponding conventional T(1)-, T(2) (*)-, and proton density (PD)-weighted images. The RD images yielded a six times better contrast-to-noise ratio (CNR = 44.8) on average than the best optimized T(1)-weighted (CNR = 7.92), T(2) (*)-weighted (CNR = 4.20), and PD-weighted images (CNR = 2.52). Regional analysis of the signal as a function of evolution time and initial pulse flip angle, and comparison with numerical simulations confirmed that radiation damping was responsible for the observed signal growth. The time evolution of the signal in different tissue regions was also used to identify subtle changes in tissue composition that were not revealed in conventional MR images. RD contrast is compared with conventional MR methods for separating different tissue types, and its value and limitations are discussed.     

Influence of white matter fiber orientation on R2* revealed by MRI segmentation

Purpose:

To investigate white matter heterogeneity using a multichannel segmentation of a large sample of structural and diffusion magnetic resonance imaging (MRI) data.

Materials and Methods:

A sample of 50 subjects was segmented using channels comprising exclusively structural (longitudinal and transverse relaxation times T1 and T2 and transverse relaxation rate R2*) and diffusion‐based MRI indices (mean diffusivity and fractional anisotropy). These data were analyzed using a data driven approach in which no prior information was used.

Results:

The analysis revealed the splitting of white matter into two subclasses in which the longitudinal fasciculi were distinguished from inferior/superior ones. The distribution of the adopted indices in the obtained clusters showed that R2* was mainly responsible for this splitting.

Conclusion:

This result supports the observation, previously hypothesized in the literature, that R2* is influenced by the fiber orientation. J. Magn. Reson. Imaging 2013;37:85–91. © 2012 Wiley Periodicals, Inc.     

脑灰质异位的CT及MRI诊断

目的:分析脑灰质异位(HGM)的CT及MRI表现,加深对本病的认识,减少漏诊及误诊的分生。方法:搜集我院经临床、CT和/或MRI证实的HGM17例,CT检查9例,MRI检合5例,CT MRI检查3例,回顾性分析其影像学表现。结果:17例中,单侧12例(左侧8例,右侧4例),其中室管膜下结节型3例,混合型桥带型5例,非室管膜下结节型4例。非室管膜下结节型均为单发,额顶叶、颞顶叶、顶枕叶及半卵圆中心各1例:双侧5例,室管膜下结节型2例,其中1例合并胼胝体发育不全;室管膜下弥漫型2例,其中1例合并四叠体池及枕大池蛛网膜囊肿;非室管膜下弥漫性1例。上述病灶位于脑白质内、侧脑室室管膜下或两省均有,呈结节、团块或条带状,在CT及MRI各序列上均与脑灰质密度或信号相同。结论:HGM在CT及MRI上具有特征性的影像学表现,因MRI为多参数成像,在对不典型及小HGM的检出优于CT。     

Characterization of T2* heterogeneity in human brain white matter

Recent in vivo MRI studies at 7.0 T have demonstrated extensive heterogeneity of T₂* relaxation in white matter of the human brain. In order to study the origin of this heterogeneity, we performed T₂* measurements at 1.5, 3.0, and 7.0 T in normal volunteers. Formalin‐fixed brain tissue specimens were also studied using T₂*‐weighted MRI, histologic staining, chemical analysis, and electron microscopy. We found that T₂* relaxation rate (R₂* = 1/T₂*) in white matter in living human brain is linearly dependent on the main magnetic field strength, and the T₂* heterogeneity in white matter observed at 7.0 T can also be detected, albeit more weakly, at 1.5 and 3.0 T. The T₂* heterogeneity exists also in white matter of the formalin‐fixed brain tissue specimens, with prominent differences between the major fiber bundles such as the cingulum (CG) and the superior corona radiata. The white matter specimen with substantial difference in T₂* has no significant difference in the total iron content, as determined by chemical analysis. On the other hand, evidence from histologic staining and electron microscopy demonstrates these tissue specimens have apparent difference in myelin content and microstructure. Magn Reson Med, 2009. © 2009 Wiley‐Liss, Inc.     

The value of T1-weighted images in the differentiation between MS,white matter lesions,and subcortical arteriosclerotic encephalopathy (SAE)

Summary The aim of the study was to define reliable criteria for the differentiation of MR imaging between patients with MS and with vascular white matter lesions/SAE. We examined 35 patients with proven MS according to the Poser criteria and 35 patients with other white matter lesions and/or SAE. The result is that with MR a differentiation can be achieved provided that T1-weighted spin-echo sequences are included and the different pattern of distribution is considered. MS plaques are predominantly located in the subependymal region, vascular white matter lesions are mainly located in the water-shed of the superficial middle cerebral branches and the deep perforating long medullary vessels in the centrum semiovale. Infratentorial lesions are more often seen in MS. Confluence at the lateral ventricles is frequently accompanied by confluent abnormalities around the third ventricle, Sylvian aqueduct, and fourth ventricle, which is uncommon in SAE. In MS many lesions visible on T2-weighted images have a cellular or intracellular composition that renders them visible also on T1-weighted ones as regions with low signal intensity and more or less distinct boundary. Vascular white matter lesions and SAE mainly represent demyelination and can there-fore be seen on T2-weighted images, but corresponding low signal intensity lesions on T1-weighted images are uncommon. In some exceptions there are such lesions with low signal representing lacunar infarcts or widened Virchow-Robin-spaces.     

Fat-suppressed MRI of musculoskeletal infection: fast T2-weighted techniques versus gadolinium-enhanced T1-weighted images

 Purpose. To investigate gadolinium’s role in imaging musculoskeletal infection by comparing the conspicuity and extent of inflammatory changes demonstrated on gadolinium-enhanced fat-suppressed T1-weighted images versus fat-suppressed fast T2-weighted sequences. Design. Eighteen patients with infection were imaged in a 1.5-T unit, using frequency-selective and/or inversion recovery fat-suppressed fast T2-weighted images (T2WI) and gadolinium-enhanced frequency-selective fat-suppressed T1-weighted images (T1WI). Thirty-four imaging planes with both a fat-suppressed gadolinium-enhanced T1-weighted sequence and a fat-suppressed T2-weighted sequence were obtained. Comparison of the extent and conspicuity of signal intensity changes was made for both bone and soft tissue in each plane. Results. In bone, inflammatory change was equal in extent and conspicuity on fat-suppressed T2WI and fat-suppressed T1WI with gadolinium in 19 planes, more extensive or conspicuous on T2WI in three planes, and less so on T2WI in two planes. Marrow was normal on all three sequences in 10 cases. In soft tissue, inflammatory change was seen equally well in 20 instances, more extensively or conspicuously on the T2WI in 11 instances, and less so on T2WI in 2 instances. One case had no soft tissue involvement on any of the sequences. Five abscesses and three joint effusions were present, all more conspicuously delineated from surrounding inflammatory change on the fat-saturated T1WI with gadolinium. The average imaging time for the fat-saturated T1WI with gadolinium was 6.75 min, while that of the T2-weighted sequences was 5.75 min. Conclusion. Routine use of gadolinium is not warranted. Instead, gadolinium should be reserved for clinically suspected infection in or around a joint, and in cases refractory to medical or surgical treatment due to possible abscess formation.     

Assessing atrophy of the major white matter fiber bundles of the brain from diffusion tensor MRI data.

Brain atrophy is a typical feature of many neurological conditions. Therefore, quantitative evaluation and spatial characterization of atrophy are potentially useful for monitoring the evolution of central nervous system (CNS) disorders. In this study, a method for measuring atrophy of the major white matter (WM) fiber bundles in the brain using diffusion tensor (DT) MRI data is developed. To this end, an atlas was created from sets of diffusion anisotropy images from normal subjects, and the deformations necessary to match single subject anisotropy images to this atlas were then computed. Because diffusion anisotropy images were used, this approach should be sensitive to fiber bundle volume changes in the same way that using T1-weighted images allows gray matter volume changes to be measured. The Jacobian determinant of the deformation field for each subject was then used as a measure of contraction or expansion of the tissue at each image voxel. An overview of the nonlinear registration problem is given; then an optimization of the parameters for the chosen algorithm is performed and the method for producing the atlas is described. The effectiveness of the method was then tested on data from five patients with multiple sclerosis (MS) and two patients with amyotrophic lateral sclerosis (ALS).     

Association of right-to-left shunt with frontal white matter lesions in T2-weighted MR imaging of stroke patients

Introduction  Cardiac right-to-left shunt (RLS), mainly due to patent foramen ovale (PFO), is a risk factor for paradoxical embolism and stroke. Results of studies about brain lesions in diffusion-weighted imaging (DWI) in PFO patients were controversial. DWI only detects acute ischemic lesions. We assessed the hypothesis that, in T2-weighted magnetic resonance imaging (T2WI) of stroke patients, RLS is associated with a typical distribution of small white matter lesions. Materials and methods  In this retrospective case–control study, T2WI images of 162 stroke patients were evaluated. From stroke patients admitted between 1999 and 2003, 81 stroke patients with RLS were identified with contrast-enhanced transcranial Doppler (bubble test). Controls were 81 age-matched stroke patients without RLS (negative bubble test). In T2WI images, small lesions (<2 cm) were categorized depending on their location in subcortical white matter, peritrigonal white matter, deep and paraventricular white matter, and basal ganglia. Additionally, larger territorial infarcts were rated. Results  In T2WI frontal or predominantly frontal-located subcortical small white matter, lesions are significantly associated with RLS (p < 0.0001, chi-square test). Forty-three patients with RLS (53%) and only 19 control patients (23%) showed this frontal dominance. Odds ratio is 3.7 (95% confidence interval = 1.9–7.1) for having a RLS when T2WI shows this lesion pattern in a stroke patient. No patient of the RLS group and 6% of the control group had parietal dominance. Distribution of small lesions in other locations like basal ganglia or deep white matter showed no significant difference for the groups. Conclusion  A distribution of mainly frontal subcortical small white matter lesions in T2WI is significantly associated with RLS in stroke patients.     

0.5 T MRI of small renal masses: value of T2-weighted and Gd-DOTA-enhanced images

We compared the value of T2-weighted and Gd-DOTA-enhanced T1-weighted images for the detection and characterisation of 33 small renal masses (14 clear cell carcinomas, 6 angiomyolipomas, 3 angiomyomas, 4 adenomas, 3 papillary carcinomas, 3 oncocytomas, 1 haemorrhagic cyst). Dynamic enhanced MRI was performed to study the tumoral vascular supply (19 cases). MRI depicted all the masses more than 1 cm in diameter, but missed all the lesions less than 1 cm (4 false-negative). The results of T2-weighted images and Gd-DOTA-enhanced images were similar as regards detection; however, Gd-DOTA-enhanced images depicted more clearly the tumours smaller than 2 cm (11 cases). MRI enabled the characterisation of only 3 masses (2 angiomyolipomas, 1 haemorrhagic cyst). New MRI features are described for oncocytomas (low signal intensity on T1-weighted images, high signal intensity on T2-weighted images, early and marked enhancement on dynamic enhanced MRI). Dynamic enhanced MRI did not contribute to the differentiation of benign from malignant tumours. Correspondence to: O. Hélénon     

Comparing brain white matter on sequential cranial ultrasound and MRI in very preterm infants

INTRODUCTION: Periventricular white matter (WM) echodensities, frequently seen in preterm infants, can be associated with suboptimal neurodevelopment. Major WM injury is well detected on cranial ultrasound (cUS). cUS seems less sensitive for diffuse or more subtle WM injury. Our aim was to assess the value of cUS and magnetic resonance imaging (MRI) for evaluating WM changes and the predictive value of cUS and/or MRI findings for neurodevelopmental outcome in very preterm infants with normal to severely abnormal WM on sequential high-quality cUS. MATERIALS AND METHODS: Very preterm infants (<32 weeks) who had sequential cUS and one MRI within the first three postnatal months were included. Periventricular WM on cUS and MRI was compared and correlated with neurodevelopmental outcome at 2 years corrected age. RESULTS: Forty preterm infants were studied; outcome data were available in 32. WM changes on sequential cUS were predictive of WM changes on MRI. Severely abnormal WM on cUS/MRI was predictive of adverse outcome, and normal-mildly abnormal WM of favorable outcome. Moderately abnormal WM on cUS/MRI was associated with variable outcome. Additional MRI slightly increased the predictive value of cUS in severe WM changes. CONCLUSION: Sequential cUS in preterm infants is reliable for detecting WM changes and predicting favorable and severely abnormal outcome. Conventional and diffusion-weighted MRI sequences before term equivalent age in very preterm infants, suggested on cUS to have mild to moderately abnormal WM, do not seem to be warranted.     

Proton T1 relaxation times of metabolites in human occipital white and gray matter at 7 T

Proton T₁ relaxation times of metabolites in the human brain have not previously been published at 7 T. In this study, T₁ values of CH₃ and CH₂ group of N‐acetylaspartate and total creatine as well as nine other brain metabolites were measured in occipital white matter and gray matter at 7 T using an inversion‐recovery technique combined with a newly implemented semi‐adiabatic spin‐echo full‐intensity acquired localized spectroscopy sequence (echo time = 12 ms). The mean T₁ values of metabolites in occipital white matter and gray matter ranged from 0.9 to 2.2 s. Among them, the T₁ of glutathione, scyllo‐inositol, taurine, phosphorylethanolamine, and N‐acetylaspartylglutamate were determined for the first time in the human brain. Significant differences in T₁ between white matter and gray matter were found for water (?28%), total choline (?14%), N‐acetylaspartylglutamate (?29%), N‐acetylaspartate (+4%), and glutamate (+8%). An increasing trend in T₁ was observed when compared with previously reported values of N‐acetylaspartate (CH₃), total creatine (CH₃), and total choline at 3 T. However, for N‐acetylaspartate (CH₃), total creatine, and total choline, no substantial differences compared to previously reported values at 9.4 T were discernible. The T₁ values reported here will be useful for the quantification of metabolites and signal‐to‐noise optimization in human brain at 7 T. Magn Reson Med 69:931–936, 2013. © 2012 Wiley Periodicals, Inc.     

MRI demonstration of cortical laminar necrosis and delayed white matter injury in anoxic encephalopathy

Summary We performed serial radiological examinations on a patient with anoxic encephalopathy. In the early term after the anoxic insult, T1-weighted MRI revealed high signal intensity areas distributed laminarly in the cerebral cortex and diffusely in the putamen, which were thought to refect the cortical necrosis and necrosis in the putamen. Single photon emission computed tomography using I-123 isopropylamphetamine showed persistent hypoperfusion in the arterial watershed zones. T2-weighted MRI performed several months after the anoxic episode revealed diffuse high-intensity lesions in the arterial water-shed zones. These delayed-onset white matter lesions continued to extend over several months.     

Assessment of relative brain iron concentrations using T2-weighted and T2*-weighted MRI at 3 Tesla

In this paper a new method is presented for the relative assessment of brain iron concentrations based on the evaluation of T₂ and T₂* -weighted images. A multiecho sequence is employed for rapid measurement of T₂ and T₂*, enabling calculation of the line broadening effect ( T₂′). Several groups have failed to show a correlation between T₂ and brain iron content. However, quantification of T₂′, and the associated relaxation rate R₂′, may provide a more specific relative measure of brain iron concentration. This may find application in the study of brain diseases, which cause associated changes in brain iron levels. A new method of field inhomogeneity correction is presented that allows the separation of global and local field inhomogeneities, leading to more accurate T₂* measurements and hence, T₂′ values. The combination of T₂*, and T₂-weighted MRI methods enables the differentiation of Parlkinson's disease patients from normal age-matched controls based on differences in iron content within the substantia nigra.     

Measurement of glycine in gray and white matter in the human brain in vivo by 1H MRS at 7.0 T

The concentration of glycine (Gly) was measured in gray matter (GM) and white matter (WM) in the human brain using single‐voxel localized ¹H MRS at 7 T. A point‐resolved spectroscopy sequence with echo time = 150 ms was used for measuring Gly levels in various regions of the frontal and occipital lobes in 11 healthy volunteers and one subject with a glioblastoma. The point‐resolved spectroscopy spectra were analyzed with LCModel using basis functions generated from density matrix simulations that included the effects of volume localized radio‐frequency and gradient pulses. The fraction of GM and white matter within the voxels was obtained from T₁‐weighted image segmentation. The metabolite concentrations within the voxels, estimated with respect to the GM + WM water concentrations, were fitted to a linear function of fractional GM content. The Gly concentrations in pure GM and white matter were estimated to be 1.1 and 0.1 mM, with 95% confidence intervals 1.0–1.2 and 0.0–0.2, respectively. Magn Reson Med, 2012. © 2012 Wiley Periodicals, Inc.