Diffusion-Tensor MR Imaging at 1.5 and 3.0 T: Initial Observations

Hunsche, S.; Moseley, Michael E.; Stoeter, P.; Hedehus, Maj

doi:10.1148/radiol.2212001823

Cited by 148 publications

(122 citation statements)

References 31 publications

(35 reference statements)

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“…zero. Besides displaying small difference from absolute FA value, our results are comparable with that of obtained by Hunsche et al (2001). As can be seen from the in-vivo study (Figure 4), both ADC and FA values are affected by changes in b-value and voxel size.…”

Section: Adc and Fa Valuessupporting

confidence: 88%

“…In order to obtain the optimal parameters, assessment was performed on the SNR and then ADC and FA values of the data images. Due consideration was given to a combination of parameters yielding sufficient SNR as well as DTI values which are comparable to those obtained from previous reported studies (Alexander & Barker 2005;Hunsche et al, 2001;Laganà et al 2010;Lazar & Alexander 2003;Löbel et al 2009). The present investigation was performed on phantom and human volunteer.…”

Section: Introductionmentioning

confidence: 60%

“…ADC and FA values for all protocols were measured at the same ROI as described previously. The results were compared to previous work which used similar 1.5T MRI system (Alexander & Barker 2005;Hunsche et al 2001;Löbel et al 2009). The comparisons are in the form of percentage difference which was calculated as,…”

Section: Measurement Of Signal-to-noise Ratiomentioning

confidence: 99%

See 2 more Smart Citations

Determination of Optimum Combination of Voxel Size and b-value for Brain Diffusion Tensor Imaging

Taib¹,

Abdullah²,

Shuaib³

et al. 2017

JSM

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Section: Adc and Fa Valuessupporting

confidence: 88%

Section: Introductionmentioning

confidence: 60%

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Determination of Optimum Combination of Voxel Size and b-value for Brain Diffusion Tensor Imaging

Taib¹,

Abdullah²,

Shuaib³

et al. 2017

JSM

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“…To best estimate the true diffusion measurement, the diffusion-encoding gradient must be corrected by the total effective scaling vector. Thus, the true diffusion-tensor elements, may be estimated by singular value decomposition of the following formula: 18 (10) where the corrected diffusion-encoding vector is (11) Note that positive components of are scaled by c eff+ and negative components are scaled by c eff-.…”

Section: Total Effective Scaling Vector and Retrospective Correction mentioning

confidence: 99%

A Method for Calibrating Diffusion Gradients in Diffusion Tensor Imaging

Wu¹,

Alexander²

2007

Journal of Computer Assisted Tomography

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Objective-To calibrate and correct the gradient errors including gradient amplitude scaling errors, background/imaging gradients, and residual gradients in diffusion tensor imaging (DTI).Methods-A calibration protocol using an isotropic phantom was proposed. Gradient errors were estimated by using linear regression analyses on quadratic functions of diffusion gradients along 3 orthogonal directions. A 6-element total effective scaling vector is generated from the calibration protocol to retrospectively correct gradient errors in DTI experiments.Results-The accuracy of the calibration protocol was within 1% or less in estimating gradient scaling errors. On both the brain study and the computer simulations, the retrospective correction minimized undesirable estimate biases of DTI measurements due to gradient errors. Conclusion-The protocol and retrospective correction are shown to be effective. The method may be used for prospective correction if actual diffusion-gradient waveforms are available. The methodology is expandable to general diffusion imaging schemes.

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“…[38] Çalışmamızda benign kitle gruplarının hepsinde ve özellikle psödokistik lezyonlarda ADC değerleri malign gruba göre yüksek olup, konvansiyonel sekanslarla, malign ve bening kitle ayrımı yapılamayan olgularda difüzyon ağırlıklı MRG'nin tanıya yardımcı olabileceği gözlenmiştir.…”

Section: Discussionunclassified

The Role of Diffusion Weighted MR for Differentiation Between Benign and Malign Pancreatic Masses

Yağtu¹,

Turan²,

Turan³

2014

J Kartal TR

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Mehmet YAĞTU, Eren TURAN, Çiğdem ÖZTÜRK TURAN ÖzetAmaç: Bu çalışmada pankreas kitlelerinin, difüzyon ağırlıklı MR görüntüleme ile görünür difüzyon katsayısı (ADC) değerlerinin ölçülmesinin tanıya ve kitlelerin benign malign ayrımına katkısının değerlendirilmesi amaçlandı. Gereç ve Yöntem:Pankreas kitlesi olan 31 olgunun 31 adet kitlesine difüzyon ağırlıklı MR sekansı uygulandı. Aksiyal planda, single shot eko-planar spin eko sekansı ile her üç yönde (x, y, z), üç farklı b değerinde (b=0, b=500 ve b=1000 s/mm²) difüzyon duyarlı gradiyentler uygulanarak difüzyon ağırlıklı görüntüler ve b=500 değeri için ADC haritaları elde edildi. Verilerin istatistiksel olarak değerlendirmesi yapılırken gruplar arasındaki değişkenler için Mann-Whitney U testi kullanıldı. Bulgular:Otuz bir pankreas kitlesinin 17 tanesi benign, 14 tanesi malign özellikteydi. Benign kitlelerin sekizi psödokist, sekizi indetermine, biri kitleyi taklit eden pankreatit oluşturuyor-du. Malign kitleler ise sekizi adenokarsinom, üçü intraduktal papiller musinöz neoplazi, üçü orijini bilinmeyen malign hüc-relerden oluşmaktaydı. ADC ölçümleri sonucunda en yüksek değerler psödokistler aitti. B=500 s/mm² değerinde benign kitlelerin ortalama ADC değeri, 2.12±0.56x10 -3 mm 2 /s, malign kitlelerin ortalama 1.25±0.14x10 -3 mm 2 /s olarak ölçüldü.Sonuç: Benign lezyonların ortalama ADC değeri malign lezyonların ortalama ADC değeri ile karşılaştırıldığında; ADC ölçümlerinin pankreas kitlelerinin malign benign ayrımında anlamlı olduğu bulundu (p<0.05).Anahtar sözcükler: Görünür difüzyon katsayısı; manyetik rezonans görüntüleme; pankreas. (x, y, z) Summary Background: In this study, we aimed to evaluate the value of diffusion weighted MR imaging with the use of apparent diffusion coefficient (ADC) measurements on diagnosis and differentiation of benign and malignant pancreatic masses. Methods: Diffusion weighted MR sequence was performed to 31 masses of 31 cases. In axial plan single shoot echo-planar spin echo sequence for 3 plans

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Diffusion-Tensor MR Imaging at 1.5 and 3.0 T: Initial Observations

Cited by 148 publications

References 31 publications

Determination of Optimum Combination of Voxel Size and b-value for Brain Diffusion Tensor Imaging

Determination of Optimum Combination of Voxel Size and b-value for Brain Diffusion Tensor Imaging

A Method for Calibrating Diffusion Gradients in Diffusion Tensor Imaging

The Role of Diffusion Weighted MR for Differentiation Between Benign and Malign Pancreatic Masses

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