MR diffusion tensor imaging: recent advance and new techniques for diffusion tensor visualization

Masutani, Yoshitaka; Aoki, Shigeki; Abe, Osamu; Hayashi, Naoto; Otomo, Kenichiro

doi:10.1016/s0720-048x(02)00328-5

Cited by 284 publications

(171 citation statements)

References 79 publications

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“…After DTI data were transferred to a PC, Volume-One (http:// www.volume-one.org/) and dTVIISR (diffusion TENSOR Visualizer II)software(secondrelease;http://www.ut-radiology.umin.jp/people/ masutani/dTV.htm) 21 were used for tractography and FA mapping (Fig 1). The diffusion tensor was calculated by using a log-linear fitting method.…”

Section: Image Analysismentioning

confidence: 99%

Quantitative Evaluation and Visualization of Lumbar Foraminal Nerve Root Entrapment by Using Diffusion Tensor Imaging: Preliminary Results

Eguchi¹,

Ohtori²,

Orita³

et al. 2011

AJNR Am J Neuroradiol

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Section: Image Analysismentioning

confidence: 99%

Quantitative Evaluation and Visualization of Lumbar Foraminal Nerve Root Entrapment by Using Diffusion Tensor Imaging: Preliminary Results

Eguchi¹,

Ohtori²,

Orita³

et al. 2011

AJNR Am J Neuroradiol

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“…2 in Ref. 12). It is assumed that the eigenvector associated with the largest eigenvalue 1 is oriented along the direction of the muscle fiber bundle (7), while 2 and 3 are oriented in directions perpendicular to this long axis.…”

Section: Data Analysis and Visualizationmentioning

confidence: 99%

“…These eigenparameters are independent of tissue orientation in the laboratory frame of reference and can provide information about local tissue fine structure and anatomy. In anisotropic tissues, such as brain white matter, this can be used to reconstruct the three-dimensional tissue fiber structure (4,6,9,(12)(13)(14)(15). This method, known as "fiber tractography," is based on the assumption that the primary eigenvector of the diffusion tensor coincides with the local fiber orientation (1).…”

mentioning

confidence: 99%

Diffusion tensor imaging in evaluation of human skeletal muscle injury

Zaraiskaya

Kumbhare

Noseworthy

2006

Magnetic Resonance Imaging

187

193

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Purpose: To explore the capability and reliability of diffusion tensor magnetic resonance imaging (DTI) in the evaluation of human skeletal muscle injury. Materials and Methods:DTI of four patients with gastrocnemius and soleus muscles injuries was compared to eight healthy controls. Imaging was performed using a GE 3.0T short-bore scanner. A diffusion-weighted 2D spin echo echo-planar imaging (EPI) pulse sequence optimized for skeletal muscle was used. From a series of axially acquired diffusion tensor images the diffusion tensor eigenparameters (eigenvalues and eigenvectors), fractional anisotropy (FA), and apparent diffusion coefficient (ADC) were calculated and compared for injured and healthy calf muscles. Two dimensional (2D) projection maps of the principal eigenvectors were plotted to visualize the healthy and pathologic muscle fiber architectures.Results: Clear differences in FA and ADC were observed in injured skeletal muscle, compared to healthy controls. Mean control FA was 0.23 Ϯ 0.02 for medial and lateral gastrocnemius (mg and lg) muscles, and 0.20 Ϯ 0.02 for soleus (sol) muscles. In all patients FA values were reduced compared to controls, to as low as 0.08 Ϯ 0.02. The ADC in controls ranged from 1.41 to 1.31 ϫ 10 -9 m 2 /second, while in patients this was consistently higher. The 2D projection maps revealed muscle fiber disorder in injured calves, while in healthy controls the 2D projection maps show a well organized (ordered) fiber structure. Conclusion:DTI is a suitable method to assess human calf muscle injury.

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“…The primary parameter which determines sensitivity in a diffusion-weighted sequence is described by its b value, which is a user-prescribed parameter that is proportional to the amplitude and duration of the diffusion-sensitizing gradients [11][12][13][14]. Increasing b values reflect increasing diffusion weighting of a DTI acquisition [8].…”

Section: Introductionmentioning

confidence: 99%

Diffusion tensor imaging and fiber tractography of the median nerve at 1.5T: optimization of b value

et al. 2008

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Objective The objective of this study was to systematically assess the optimal b value for diffusion tensor imaging and fiber tractography of the median nerve at 1.5 T. Materials and methods This is a prospective study which was carried out with institutional review board approval and written informed consent from the study subjects. Fifteen healthy volunteers (seven men, eight women; mean age, 31.2 years) underwent diffusion tensor imaging of the wrist. A single-shot spin-echo-based echo-planar imaging sequence (TR/TE, 7000/103 ms) was performed in each subject at eight different b values ranging from 325 to 1,550 s/mm 2 . Number and length of reconstructed fiber tracts, fiber density index (FDi), fractional anisotropy (FA), and apparent diffusion coefficient (ADC) were calculated for the median nerve. Signal-to-noise ratio (SNR) was also calculated for each acquisition. The overall image quality was assessed by two readers in consensus by ranking representative fiber tract images for each subject using a scale range from 1 to 8 (1 = best to 8 = worst image quality). Conclusions The optimal b value for diffusion tensor imaging and fiber tractography of the median nerve at 1.5 T was 1,025 s/mm 2 .

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MR diffusion tensor imaging: recent advance and new techniques for diffusion tensor visualization

Cited by 284 publications

References 79 publications

Quantitative Evaluation and Visualization of Lumbar Foraminal Nerve Root Entrapment by Using Diffusion Tensor Imaging: Preliminary Results

Quantitative Evaluation and Visualization of Lumbar Foraminal Nerve Root Entrapment by Using Diffusion Tensor Imaging: Preliminary Results

Diffusion tensor imaging in evaluation of human skeletal muscle injury

Diffusion tensor imaging and fiber tractography of the median nerve at 1.5T: optimization of b value

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