Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitions
Post-mortem diffusion MRI (dMRI) enables acquisitions of structural imaging data with otherwise unreachable resolutions - at the expense of longer scanning times. These data are typically acquired using highly segmented image acquisition strategies, thereby resulting in an incomplete signal decay be...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-11-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811920306583 |
| _version_ | 1818331616559235072 |
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| author | Cornelius Eichner Michael Paquette Toralf Mildner Torsten Schlumm Kamilla Pléh Liran Samuni Catherine Crockford Roman M. Wittig Carsten Jäger Harald E. Möller Angela D. Friederici Alfred Anwander |
| author_facet | Cornelius Eichner Michael Paquette Toralf Mildner Torsten Schlumm Kamilla Pléh Liran Samuni Catherine Crockford Roman M. Wittig Carsten Jäger Harald E. Möller Angela D. Friederici Alfred Anwander |
| author_sort | Cornelius Eichner |
| collection | DOAJ |
| description | Post-mortem diffusion MRI (dMRI) enables acquisitions of structural imaging data with otherwise unreachable resolutions - at the expense of longer scanning times. These data are typically acquired using highly segmented image acquisition strategies, thereby resulting in an incomplete signal decay before the MRI encoding continues. Especially in dMRI, with low signal intensities and lengthy contrast encoding, such temporal inefficiency translates into reduced image quality and longer scanning times. This study introduces Multi Echo (ME) acquisitions to dMRI on a human MRI system - a time-efficient approach, which increases SNR (Signal-to-Noise Ratio) and reduces noise bias for dMRI images. The benefit of the introduced ME-dMRI method was validated using numerical Monte Carlo simulations and showcased on a post-mortem brain of a wild chimpanzee. The proposed Maximum Likelihood Estimation echo combination results in an optimal SNR without detectable signal bias. The combined strategy comes at a small price in scanning time (here 30% additional) and leads to a substantial SNR increase (here white matter: ~ 1.6x, equivalent to 2.6 averages, grey matter: ~ 1.9x, equivalent to 3.6 averages) and a general reduction of the noise bias. |
| first_indexed | 2024-12-13T13:22:41Z |
| format | Article |
| id | doaj.art-461ff531732941cb8a1e9bcf7af4c418 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-13T13:22:41Z |
| publishDate | 2020-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-461ff531732941cb8a1e9bcf7af4c4182022-12-21T23:44:22ZengElsevierNeuroImage1095-95722020-11-01221117172Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitionsCornelius Eichner0Michael Paquette1Toralf Mildner2Torsten Schlumm3Kamilla Pléh4Liran Samuni5Catherine Crockford6Roman M. Wittig7Carsten Jäger8Harald E. Möller9Angela D. Friederici10Alfred Anwander11Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neuropsychology, Leipzig, Germany; Corresponding author.Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neuropsychology, Leipzig, GermanyMax Planck Institute for Human Cognitive and Brain Sciences, NMR Group, Leipzig, GermanyMax Planck Institute for Human Cognitive and Brain Sciences, NMR Group, Leipzig, GermanyRobert Koch Institute, Epidemiology of Highly Pathogenic Microorganisms, Berlin, Germany; Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'IvoireTaï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire; Harvard University, Department of Human Evolutionary Biology, Cambridge, MA, United StatesTaï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire; Max Planck Institute for Evolutionary Anthropology, Department of Human Behavior, Ecology and Culture, Leipzig, GermanyTaï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire; Max Planck Institute for Evolutionary Anthropology, Department of Human Behavior, Ecology and Culture, Leipzig, GermanyPaul Flechsig Institute for Brain Research, University of Leipzig, Germany; Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurophysics, Leipzig, GermanyMax Planck Institute for Human Cognitive and Brain Sciences, NMR Group, Leipzig, GermanyMax Planck Institute for Human Cognitive and Brain Sciences, Department of Neuropsychology, Leipzig, GermanyMax Planck Institute for Human Cognitive and Brain Sciences, Department of Neuropsychology, Leipzig, GermanyPost-mortem diffusion MRI (dMRI) enables acquisitions of structural imaging data with otherwise unreachable resolutions - at the expense of longer scanning times. These data are typically acquired using highly segmented image acquisition strategies, thereby resulting in an incomplete signal decay before the MRI encoding continues. Especially in dMRI, with low signal intensities and lengthy contrast encoding, such temporal inefficiency translates into reduced image quality and longer scanning times. This study introduces Multi Echo (ME) acquisitions to dMRI on a human MRI system - a time-efficient approach, which increases SNR (Signal-to-Noise Ratio) and reduces noise bias for dMRI images. The benefit of the introduced ME-dMRI method was validated using numerical Monte Carlo simulations and showcased on a post-mortem brain of a wild chimpanzee. The proposed Maximum Likelihood Estimation echo combination results in an optimal SNR without detectable signal bias. The combined strategy comes at a small price in scanning time (here 30% additional) and leads to a substantial SNR increase (here white matter: ~ 1.6x, equivalent to 2.6 averages, grey matter: ~ 1.9x, equivalent to 3.6 averages) and a general reduction of the noise bias.http://www.sciencedirect.com/science/article/pii/S1053811920306583MRIDiffusiondMRIMulti-echoSegmented EPIPost-mortem |
| spellingShingle | Cornelius Eichner Michael Paquette Toralf Mildner Torsten Schlumm Kamilla Pléh Liran Samuni Catherine Crockford Roman M. Wittig Carsten Jäger Harald E. Möller Angela D. Friederici Alfred Anwander Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitions NeuroImage MRI Diffusion dMRI Multi-echo Segmented EPI Post-mortem |
| title | Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitions |
| title_full | Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitions |
| title_fullStr | Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitions |
| title_full_unstemmed | Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitions |
| title_short | Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitions |
| title_sort | increased sensitivity and signal to noise ratio in diffusion weighted mri using multi echo acquisitions |
| topic | MRI Diffusion dMRI Multi-echo Segmented EPI Post-mortem |
| url | http://www.sciencedirect.com/science/article/pii/S1053811920306583 |
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