Accelerated human cardiac diffusion tensor imaging using simultaneous multislice imaging

Lau, Angus Z.; Tunnicliffe, Elizabeth M.; Frost, Robert; Koopmans, Peter J.; Tyler, Damian J.; Robson, Matthew D

doi:10.1002/mrm.25200

Cited by 73 publications

(74 citation statements)

References 46 publications

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“…Using the twice-refocused spin echo sequence, the SNR was too low for b values > 200, and this value was chosen as the best compromise in terms of SNR on our 1.5 T scanner using this sequence. Some contamination from perfusion to the apparent diffusion coefficient (ADC) cannot be excluded even though the values obtained for MD are consistent with the values obtained by others [17], [18], [20]. The b values should ideally be increased, especially in patients, where perfusion modifications or inflammatory processes frequently occur and induce regional variations.…”

Section: Discussionsupporting

confidence: 60%

“…DTI has been used to depict fiber architecture properties in ex vivo human hearts [3]- [7], in healthy human hearts [8]- [13], and in patients [14]- [17]. Respiratory gated approaches [13], [18] were often preferred to minimize the effect of respiratory motion in DTI acquisitions, although the data can also be obtained from multiple breath-holding acquisitions [18], [19], [20]. Although more patient friendly, respiratory gated strategies imply increased acquisition time [21] because only 30-40% of the respiratory cycle [22] is actually used for the acquisitions.…”

mentioning

confidence: 99%

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Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion

Wei

Viallon

Delattre

et al. 2015

IEEE Trans. Med. Imaging

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Free-breathing cardiac diffusion tensor imaging (DTI) is a promising but challenging technique for the study of fiber structures of the human heart in vivo. This work proposes a clinically compatible and robust technique to provide three-dimensional (3-D) fiber architecture properties of the human heart. To this end, 10 short-axis slices were acquired across the entire heart using a multiple shifted trigger delay (TD) strategy under free breathing conditions. Interscan motion was first corrected automatically using a nonrigid registration method. Then, two post-processing schemes were optimized and compared: an algorithm based on principal component analysis (PCA) filtering and temporal maximum intensity projection (TMIP), and an algorithm that uses the wavelet-based image fusion (WIF) method. The two methods were applied to the registered diffusion-weighted (DW) images to cope with intrascan motion-induced signal loss. The tensor fields were finally calculated, from which fractional anisotropy (FA), mean diffusivity (MD), and 3-D fiber tracts were derived and compared. The results show that the comparison of the FA values (FA(PCATMIP) = 0.45 ±0.10, FA(WIF) = 0.42 ±0.05, P=0.06) showed no significant difference, while the MD values ( MD(PCATMIP)=0.83 ±0.12×10(-3) mm (2)/s, MD(WIF)=0.74±0.05×10(-3) mm (2)/s, P=0.028) were significantly different. Improved helix angle variations through the myocardium wall reflecting the rotation characteristic of cardiac fibers were observed with WIF. This study demonstrates that the combination of multiple shifted TD acquisitions and dedicated post-processing makes it feasible to retrieve in vivo cardiac tractographies from free-breathing DTI acquisitions. The substantial improvements were observed using the WIF method instead of the previously published PCATMIP technique.

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Section: Discussionsupporting

confidence: 60%

mentioning

confidence: 99%

Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion

Wei

Viallon

Delattre

et al. 2015

IEEE Trans. Med. Imaging

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“…These drive the need for better SNR efficiency. Ongoing developments in high performance gradient systems, and the use of spin echo methods 50, convex optimized diffusion encoding 51, simultaneous multislice imaging 52, and compressed sensing 34 promise to improve SNR efficiency and therefore feasibility of in vivo cardiac non‐Gaussian diffusion imaging.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of non‐Gaussian diffusion in cardiac MRI

McClymont

Teh

Carruth

et al. 2016

Magnetic Resonance in Med

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PurposeThe diffusion tensor model assumes Gaussian diffusion and is widely applied in cardiac diffusion MRI. However, diffusion in biological tissue deviates from a Gaussian profile as a result of hindrance and restriction from cell and tissue microstructure, and may be quantified better by non‐Gaussian modeling. The aim of this study was to investigate non‐Gaussian diffusion in healthy and hypertrophic hearts.MethodsThirteen rat hearts (five healthy, four sham, four hypertrophic) were imaged ex vivo. Diffusion‐weighted images were acquired at b‐values up to 10,000 s/mm2. Models of diffusion were fit to the data and ranked based on the Akaike information criterion.ResultsThe diffusion tensor was ranked best at b‐values up to 2000 s/mm2 but reflected the signal poorly in the high b‐value regime, in which the best model was a non‐Gaussian “beta distribution” model. Although there was considerable overlap in apparent diffusivities between the healthy, sham, and hypertrophic hearts, diffusion kurtosis and skewness in the hypertrophic hearts were more than 20% higher in the sheetlet and sheetlet‐normal directions.ConclusionNon‐Gaussian diffusion models have a higher sensitivity for the detection of hypertrophy compared with the Gaussian model. In particular, diffusion kurtosis may serve as a useful biomarker for characterization of disease and remodeling in the heart. Magn Reson Med 78:1174–1186, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

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“…the kidneys) may favour 3D approaches. The application of simultaneous multi-slice acquisitions 18 that utilize parallel imaging reconstructions to acquire multiple slices under the action of a single RF pulse would obviously provide the ideal balance between RF efficiency and organ specificity.…”

Section: Protocol Developmentmentioning

confidence: 99%

Simultaneous in vivo assessment of cardiac and hepatic metabolism in the diabetic rat using hyperpolarized MRS

Page

Ball

et al. 2016

NMR in Biomedicine

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Understanding and assessing diabetic metabolism is vital for monitoring disease progression and improving treatment of patients. In vivo assessments, using MRI and MRS, provide non-invasive and accurate measurements, and the development of hyperpolarized 13 C spectroscopy in particular has been demonstrated to provide valuable metabolic data in real time. Until now, studies have focussed on individual organs. However, diabetes is a systemic disease affecting multiple tissues in the body. Therefore, we have developed a technique to simultaneously measure metabolism in both the heart and liver during a single acquisition.A hyperpolarized 13 C MRS protocol was developed to allow acquisition of metabolic data from the heart and liver during a single scan. This protocol was subsequently used to assess metabolism in the heart and liver of seven control male Wistar rats and seven diabetic rats (diabetes was induced by three weeks of high-fat feeding and a 30 mg/kg injection of streptozotocin).Using our new acquisition, we observed decreased cardiac and hepatic pyruvate dehydrogenase flux in our diabetic rat model. These diabetic rats also had increased blood glucose levels, decreased insulin, and increased hepatic triglycerides. Decreased production of hepatic [1-13 C]alanine was observed in the diabetic group, but this change was not present in the hearts of the same diabetic animals.We have demonstrated the ability to measure cardiac and hepatic metabolism simultaneously, with sufficient sensitivity to detect metabolic alterations in both organs. Further, we have noninvasively observed the different reactions of the heart and liver to the metabolic challenge of diabetes.

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Accelerated human cardiac diffusion tensor imaging using simultaneous multislice imaging

Cited by 73 publications

References 46 publications

Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion

Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion

Evaluation of non‐Gaussian diffusion in cardiac MRI

Simultaneous in vivo assessment of cardiac and hepatic metabolism in the diabetic rat using hyperpolarized MRS

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