Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique
To enable application of non-Gaussian diffusion magnetic resonance imaging (dMRI) techniques in large-scale clinical trials and facilitate translation to clinical practice there is a requirement for fast, high contrast, techniques that are sensitive to changes in tissue structure which provide diagn...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-05-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811920300938 |
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| author | Thomas R. Barrick Catherine A. Spilling Carson Ingo Jeremy Madigan Jeremy D. Isaacs Philip Rich Timothy L. Jones Richard L. Magin Matt G. Hall Franklyn A. Howe |
| author_facet | Thomas R. Barrick Catherine A. Spilling Carson Ingo Jeremy Madigan Jeremy D. Isaacs Philip Rich Timothy L. Jones Richard L. Magin Matt G. Hall Franklyn A. Howe |
| author_sort | Thomas R. Barrick |
| collection | DOAJ |
| description | To enable application of non-Gaussian diffusion magnetic resonance imaging (dMRI) techniques in large-scale clinical trials and facilitate translation to clinical practice there is a requirement for fast, high contrast, techniques that are sensitive to changes in tissue structure which provide diagnostic signatures at the early stages of disease. Here we describe a new way to compress the acquisition of multi-shell b-value diffusion data, Quasi-Diffusion MRI (QDI), which provides a probe of subvoxel tissue complexity using short acquisition times (1–4 min). We also describe a coherent framework for multi-directional diffusion gradient acquisition and data processing that allows computation of rotationally invariant quasi-diffusion tensor imaging (QDTI) maps.QDI is a quantitative technique that is based on a special case of the Continuous Time Random Walk model of diffusion dynamics and assumes the presence of non-Gaussian diffusion properties within tissue microstructure. QDI parameterises the diffusion signal attenuation according to the rate of decay (i.e. diffusion coefficient, D in mm2 s−1) and the shape of the power law tail (i.e. the fractional exponent, α). QDI provides analogous tissue contrast to Diffusional Kurtosis Imaging (DKI) by calculation of normalised entropy of the parameterised diffusion signal decay curve, Hn, but does so without the limitations of a maximum b-value.We show that QDI generates images with superior tissue contrast to conventional diffusion imaging within clinically acceptable acquisition times of between 84 and 228 s. We show that QDI provides clinically meaningful images in cerebral small vessel disease and brain tumour case studies. Our initial findings suggest that QDI may be added to routine conventional dMRI acquisitions allowing simple application in clinical trials and translation to the clinical arena. |
| first_indexed | 2024-04-13T13:59:34Z |
| format | Article |
| id | doaj.art-4112b873f137457ba8d01506863f1eab |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-13T13:59:34Z |
| publishDate | 2020-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-4112b873f137457ba8d01506863f1eab2022-12-22T02:44:04ZengElsevierNeuroImage1095-95722020-05-01211116606Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging techniqueThomas R. Barrick0Catherine A. Spilling1Carson Ingo2Jeremy Madigan3Jeremy D. Isaacs4Philip Rich5Timothy L. Jones6Richard L. Magin7Matt G. Hall8Franklyn A. Howe9Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George’s, University of London, London, UK; Corresponding author. Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK.Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George’s, University of London, London, UKDepartment of Neurology, Northwestern University, Chicago, USA; Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, USADepartment of Neuroradiology, St George’s University Hospitals NHS Foundation Trust, London, UKNeurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George’s, University of London, London, UK; Department of Neurology, St George’s University Hospitals NHS Foundation Trust, London, UKDepartment of Neuroradiology, St George’s University Hospitals NHS Foundation Trust, London, UKDepartment of Neurosurgery, St George’s University Hospitals NHS Foundation Trust, London, UKDepartment of Bioengineering, University of Illinois at Chicago, USAGreat Ormond Street Institute of Child Health, University College London, London, UK; National Physical Laboratory, Teddington, UKNeurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George’s, University of London, London, UKTo enable application of non-Gaussian diffusion magnetic resonance imaging (dMRI) techniques in large-scale clinical trials and facilitate translation to clinical practice there is a requirement for fast, high contrast, techniques that are sensitive to changes in tissue structure which provide diagnostic signatures at the early stages of disease. Here we describe a new way to compress the acquisition of multi-shell b-value diffusion data, Quasi-Diffusion MRI (QDI), which provides a probe of subvoxel tissue complexity using short acquisition times (1–4 min). We also describe a coherent framework for multi-directional diffusion gradient acquisition and data processing that allows computation of rotationally invariant quasi-diffusion tensor imaging (QDTI) maps.QDI is a quantitative technique that is based on a special case of the Continuous Time Random Walk model of diffusion dynamics and assumes the presence of non-Gaussian diffusion properties within tissue microstructure. QDI parameterises the diffusion signal attenuation according to the rate of decay (i.e. diffusion coefficient, D in mm2 s−1) and the shape of the power law tail (i.e. the fractional exponent, α). QDI provides analogous tissue contrast to Diffusional Kurtosis Imaging (DKI) by calculation of normalised entropy of the parameterised diffusion signal decay curve, Hn, but does so without the limitations of a maximum b-value.We show that QDI generates images with superior tissue contrast to conventional diffusion imaging within clinically acceptable acquisition times of between 84 and 228 s. We show that QDI provides clinically meaningful images in cerebral small vessel disease and brain tumour case studies. Our initial findings suggest that QDI may be added to routine conventional dMRI acquisitions allowing simple application in clinical trials and translation to the clinical arena.http://www.sciencedirect.com/science/article/pii/S1053811920300938Magnetic resonance imagingBrainContinuous time random walkNon-Gaussian diffusionDiffusional kurtosis imagingHigh b-value |
| spellingShingle | Thomas R. Barrick Catherine A. Spilling Carson Ingo Jeremy Madigan Jeremy D. Isaacs Philip Rich Timothy L. Jones Richard L. Magin Matt G. Hall Franklyn A. Howe Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique NeuroImage Magnetic resonance imaging Brain Continuous time random walk Non-Gaussian diffusion Diffusional kurtosis imaging High b-value |
| title | Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique |
| title_full | Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique |
| title_fullStr | Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique |
| title_full_unstemmed | Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique |
| title_short | Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique |
| title_sort | quasi diffusion magnetic resonance imaging qdi a fast high b value diffusion imaging technique |
| topic | Magnetic resonance imaging Brain Continuous time random walk Non-Gaussian diffusion Diffusional kurtosis imaging High b-value |
| url | http://www.sciencedirect.com/science/article/pii/S1053811920300938 |
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