Burst excitation for quantitative diffusion imaging with multipleb-values

Wheeler‐Kingshott, Claudia A. M.; Thomas, David L.; Lythgoe, Mark F.; Guilfoyle, David N.; Williams, S. R.; Doran, Simon J.

doi:10.1002/1522-2594(200011)44:5<737::aid-mrm12>3.0.co;2-t

Cited by 13 publications

(7 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On DWI obtained with a low b-value, perfusion effects usually cause larger signal attenuation than diffusion effects (26, 27). At a high b value, ADC measurement will be relatively perfusion insensitive and ADC map value is close to the true diffusion coefficient D (28, 29). Therefore, high b values are recommended for breast DWI (b > 500).…”

Section: Discussionmentioning

confidence: 99%

The Role of Parallel Diffusion-Weighted Imaging and Apparent Diffusion Coefficient (ADC) Map Values for Evaluating Breast Lesions

Jin

Jacobs

et al. 2010

Academic Radiology

View full text Add to dashboard Cite

OBJECTIVE To evaluate the feasibility of using diffusion-weighted imaging (DWI) with an array spatial sensitivity encoding technique (ASSET) and apparent diffusion coefficient (ADC) map values with different b values to distinguish benign and malignant breast lesions. MATERIALS AND METHODS Fifty-six female patients with 60 histologically proven breast lesions and 20 healthy volunteers underwent MRI. A subset of normal volunteers (n = 7) and patients (n = 16) underwent both conventional DWI and ASSET-DWI, and the image quality between the two methods was compared. Finally, ASSET-DWI with b = 0, 600 s/mm2 and b = 0, 1000 s/mm2 were compared for their ability to distinguish benign and malignant breast lesions. RESULTS The ASSET-DWI method had less distortion, fewer artifacts, and a lower acquisition time than other methods. No significant difference (P > 0.05) was detected in ADC map values between ASSET-DWI and conventional DWI. For ASSET-DWI, the sensitivity of ADC values for malignant lesions with a threshold of less than 1.44 × 10−3 mm2/s (b = 600 s/mm2) and 1.18 × 10−3 mm2/s (b = 1000s/mm2) was 80% and 77.5% respectively. The specificity of both groups was 95%. CONCLUSION ASSET-DWI evaluation of breast tissue offers decreased distortion, susceptibility to artifacts, and acquisition time relative to other methods. The use of ASSET-DWI is feasible with b values ranging from 600 to 1000 s/mm2 and provides increased specificity compared to other techniques. Thus, the ADC value of a breast lesion can be used to further characterize malignant lesions from benign ones.

show abstract

Section: Discussionmentioning

confidence: 99%

The Role of Parallel Diffusion-Weighted Imaging and Apparent Diffusion Coefficient (ADC) Map Values for Evaluating Breast Lesions

Jin

Jacobs

et al. 2010

Academic Radiology

View full text Add to dashboard Cite

show abstract

“…In the presence of perfusion, the ADC value calculated from images with a low b value would be overestimated due to this additional cause of signal attenuation. At a high b value, ADC measurement will be relatively perfusion insensitive and theoretically more reflective of tissue cellularity and the integrity of cellular membranes [23,24] . A few studies on evaluation of tumor response to therapy with high b values on DWI have recently been reported [25,26] .…”

Section: Discussionmentioning

confidence: 99%

Effect of b value on monitoring therapeutic response by diffusion-weighted imaging

Jiang

Peng²,

Li³

et al. 2008

WJG

View full text Add to dashboard Cite

AIM:To explore the diffusion gradient b-factor that optimizes both apparent diffusion coefficient (ADC) measurement and contrast-to-noise (CNR) fo r a s s e s s i n g t u m o r re s p o n s e t o t ra n s a r t e r i a l chemoembolization (TACE) in a rabbit model. METHODS: Twelve New Zealand white rabbits bearing VX2 tumors in the liver were treated with TACE. Diffusion-weighted imaging (DWI) with various b values was performed using the same protocol before and 3 d after treatment with TACE. ADC values and CNR of each tumor pre-and post-treatment with different b factors were analyzed. Correlation between ADC values and extent of necrosis in histological specimens was analyzed by a Pearson's correlation test. RESULTS:The quality of diffusion-weighted images diminished as the b value increased. A substantial decrease in the mean lesion-to-liver CNR was observed on both pre-and post-treatment DW images, the largest difference in CNR pre-and post-treatment was manifested at a b value of 1000 s/mm 2 (P = 0.036 ). The effect of therapy on diffusion early after treatment was shown by a significant increase in ADCs (P = 0.007), especially with large b factors (≥ 600 s/mm 2

show abstract

“…Each echo of the Burst train is differently weighted by diffusion and so, by phase-encoding a succession of such echo trains, a set of images, each corresponding to a different b-value, can be obtained. The idea was first hinted at by Hennig in his original Burst paper (3) and subsequently analyzed more fully by Wheeler-Kingshott et al (47). The method has the advantage that the images for all of the b-values are inherently coregistered.…”

Section: Review Of the Existing Literaturementioning

confidence: 99%

Burst imaging—Can it ever be useful in the clinic?

Doran

Bourgeois

Leach

2005

Concepts Magn. Reson.

View full text Add to dashboard Cite

ABSTRACT:Burst is an ultra-rapid imaging sequence that works by excitation of magnetization using a series of regularly spaced, low flip-angle pulses, applied at the same time as a gradient in the read direction. In the original concept, this gradient is constant, and multiple echoes are refocused under a constant-read gradient. This article brings together the previous literature on the subject, placing the various developments within a common framework. The potential of the technique is discussed, with the aid of a comparison of the signal-to-noise ratio for the various Burst sequences previously proposed and a detailed case study of one of the more promising variants.

show abstract

Burst excitation for quantitative diffusion imaging with multipleb-values

Cited by 13 publications

References 32 publications

The Role of Parallel Diffusion-Weighted Imaging and Apparent Diffusion Coefficient (ADC) Map Values for Evaluating Breast Lesions

The Role of Parallel Diffusion-Weighted Imaging and Apparent Diffusion Coefficient (ADC) Map Values for Evaluating Breast Lesions

Effect of b value on monitoring therapeutic response by diffusion-weighted imaging

Burst imaging—Can it ever be useful in the clinic?

Contact Info

Product

Resources

About