Development of a temperature‐controlled phantom for magnetic resonance quality assurance of diffusion, dynamic, and relaxometry measurements

Jerome, Neil P.; Papoutsaki, Marianthi-Vasiliki; Orton, Matthew; Parkes, Harold G.; Winfield, Jessica M.; Boss, Michael A.; Leach, Martin O.; deSouza, Nandita M.; Collins, David J.

doi:10.1118/1.4948997

Cited by 28 publications

(36 citation statements)

References 32 publications

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“…Nonuniform bias was observed when the phantom was rotated every 90°, indicating the magnetic field was not symmetric, but our results show appropriate gradient modeling can account for this. The observed ADC of water at 0°C in our study was (1.12 ± 0.01) ×10 −3 mm 2 /s and is consistent with the ADCs reported by Palacios et al, Easteal et al, Jerome et al, and Hectors et al However, our observed ADC was slightly larger than the ADC established by Holz et al and Chenevert et al but was not statistically different. At 20°C, our mean ADC ([2.04 ± 0.03] ×10 −3 mm 2 s) for water was within 1% of the assumed ground truth ADC (2.023 ×10 −3 mm 2 s) .…”

Section: Discussionsupporting

confidence: 92%

“…The mean ADCs for various PVP concentrations at 0°C were very similar to results published in the literature (within 2%) except for vials with PVP concentration ≤30%. This was due to a suboptimal imaging protocol for higher PVP concentration vials that have lower diffusivity values that are not well matched to the b‐value used in this study . Studies have shown that the number of b‐values, the selected b‐values, and other scan parameters such as TE affect the overall ADC estimate, particularly for low diffusivity materials .…”

Section: Discussionmentioning

confidence: 96%

“…This was due to a suboptimal imaging protocol for higher PVP concentration vials that have lower diffusivity values that are not well matched to the b-value used in this study. 28,30,31 Studies have shown that the number of b-values, the selected b-values, and other scan parameters such as TE affect the overall ADC estimate, particularly for low diffusivity materials. [33][34][35] Our study used a clinical DWI protocol with b-values of 0 and 1000 mm 2 /s, whereas the reference protocol used DTI with four b-values and a maximum b-value of 1300 mm 2 /s.…”

Section: Discussionmentioning

confidence: 99%

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Improving apparent diffusion coefficient accuracy on a compact 3T MRI scanner using gradient nonlinearity correction

Tao

Shu

Tan

et al. 2018

Magnetic Resonance Imaging

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BACKGROUND Gradient non-linearity (GNL) leads to biased apparent diffusion coefficients (ADCs) in diffusion weighted imaging. A gradient non-linearity correction (GNLC) method has been developed for whole body systems, but yet to be tested for the new compact 3T (C3T) scanner which exhibits more complex GNL due to its asymmetrical design. PURPOSE To assess the improvement of ADC quantification with GNLC for the C3T scanner. STUDY TYPE Phantom measurements and retrospective analysis of patient data. PHANTOM/SUBJECTS A diffusion quality control phantom with vials containing 0-30% polyvinylpyrrolidone in water was used. For in-vivo data, 12 patient exams were analyzed (median age =33). FIELD STRENGTH/SEQUENCE Imaging was performed on the C3T and two commercial 3T scanners. A clinical DWI (TR = 10000 ms, TE = min, b = 1000 s/mm2) sequence was used for phantom imaging and 10 patient cases and a clinical DTI (TR = 6000-10000 ms, TE = min, b = 1000s/mm2) sequence was used for two patient cases. ASSESSMENT The 0% vial was measured along three orthogonal axes, and at two different temperatures. The ADC for each concentration was compared between the C3T and two whole body scanners. Cerebrospinal fluid and white matter ADCs were quantified for patient and compared to values in literature. STATISTICAL TEST Paired t-test and two-way ANOVA RESULTS For all PVP concentrations, the corrected ADC was within 2.5% of the reference ADC. On average, the ADC of cerebrospinal fluid and white matter post-GNLC were within 1% and 6% of values reported in literature respectively and were significantly different from the uncorrected data (p<0.05). DATA CONCLUSION This study demonstrated that GNL effects were more severe for the C3T due to the asymmetric gradient design, but our implementation of a GNLC compensated for these effects, resulting in ADC values that are in good agreement with values from literature.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

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Improving apparent diffusion coefficient accuracy on a compact 3T MRI scanner using gradient nonlinearity correction

Tao

Shu

Tan

et al. 2018

Magnetic Resonance Imaging

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“…Many materials have been used in DWI phantoms, such as aqueous solutions of polydimethylsiloxane, polyvinylpyrrolidone, sucrose, or polymers, liquid paraffin, alkanes, and pure water . The aqueous solutions and pure water are good choices for a phantom because of their nontoxicity and availability.…”

Section: Precision Metrologymentioning

confidence: 99%

Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials

Shukla–Dave

Obuchowski

Chenevert

et al. 2018

Magnetic Resonance Imaging

272

232

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Physiological properties of tumors can be measured both in vivo and noninvasively by diffusion‐weighted imaging and dynamic contrast‐enhanced magnetic resonance imaging. Although these techniques have been used for more than two decades to study tumor diffusion, perfusion, and/or permeability, the methods and studies on how to reduce measurement error and bias in the derived imaging metrics is still lacking in the literature. This is of paramount importance because the objective is to translate these quantitative imaging biomarkers (QIBs) into clinical trials, and ultimately in clinical practice. Standardization of the image acquisition using appropriate phantoms is the first step from a technical performance standpoint. The next step is to assess whether the imaging metrics have clinical value and meet the requirements for being a QIB as defined by the Radiological Society of North America's Quantitative Imaging Biomarkers Alliance (QIBA). The goal and mission of QIBA and the National Cancer Institute Quantitative Imaging Network (QIN) initiatives are to provide technical performance standards (QIBA profiles) and QIN tools for producing reliable QIBs for use in the clinical imaging community. Some of QIBA's development of quantitative diffusion‐weighted imaging and dynamic contrast‐enhanced QIB profiles has been hampered by the lack of literature for repeatability and reproducibility of the derived QIBs. The available research on this topic is scant and is not in sync with improvements or upgrades in MRI technology over the years. This review focuses on the need for QIBs in oncology applications and emphasizes the importance of the assessment of their reproducibility and repeatability. Level of Evidence: 5 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2019;49:e101–e121.

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“…Earlier studies also have shown high similarity between ADC values at both field strengths in a dedicated diffusion phantom (26) and in the abdominal organs (27). In our study, keeping acquisition parameters identical between 1.5 T and 3.0 T, except for differences in TE, was intentional.…”

Section: Discussionmentioning

confidence: 59%

Comparison between 3-Scan Trace and Diagonal Body Diffusion-Weighted Imaging Acquisitions: A Phantom and Volunteer Study

et al. 2016

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Diagonal diffusion-weighted imaging (dDWI) uses simultaneous maximized application of 3 orthogonal gradient systems as opposed to sequential acquisition in 3 directions in conventional 3-scan trace DWI (tDWI). Several theoretical advantages of dDWI vs. tDWI include reduced artifacts and increased sharpness. We compared apparent diffusion coefficient (ADC) quantification and image quality between monopolar dDWI and tDWI in a dedicated diffusion phantom (b = 0/500/900/2000 s/mm 2 ) and in the abdomen (b = 50/400/800 s/mm 2 ) and pelvis (b = 50/1000/1600 s/mm 2 ) of 2 male volunteers at 1.5 T and 3.0 T. Phantom estimated signal-to-noise ratio (eSNR) was also measured. Two independent observers assessed the image quality on a 5-point scale. In the phantom, image quality was similar between tDWI and dDWI, with equivalent ADC quantification (mean coefficient of variation [CV] between sequences: 1.4% ± 1.2% at 1.5 T and 0.7% ± 0.7% at 3.0 T). Phantom eSNR was similar for both tDWI and dDWI, except for a significantly lower eSNR for b900 of dDWI at 3.0 T (P = .006). In the volunteers, the CV values between tDWI and dDWI were higher than those in the phantom (CV range: abdominal organs, 1.3%-13.3%; pelvic organs, 0.6%-5.7%). A trend toward significant better image quality for dDWI compared with tDWI was observed for b800 (abdomen) at 3.0 T and for b1000 and b1600 (pelvis) at 1.5 T (P = .063 to .066). Our data suggest that dDWI may provide better image quality than tDWI without affecting ADC quantification, needing confirmation in a future clinical study.

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Development of a temperature‐controlled phantom for magnetic resonance quality assurance of diffusion, dynamic, and relaxometry measurements

Cited by 28 publications

References 32 publications

Improving apparent diffusion coefficient accuracy on a compact 3T MRI scanner using gradient nonlinearity correction

Improving apparent diffusion coefficient accuracy on a compact 3T MRI scanner using gradient nonlinearity correction

Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials

Comparison between 3-Scan Trace and Diagonal Body Diffusion-Weighted Imaging Acquisitions: A Phantom and Volunteer Study

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