Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE.
PURPOSE: To examine the effects of the reconstruction algorithm of magnitude images from multichannel diffusion MRI on fiber orientation estimation. THEORY AND METHODS: It is well established that the method used to combine signals from different coil elements in multichannel MRI can have an impact...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2013
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| _version_ | 1797087141686149120 |
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| author | Sotiropoulos, SN Moeller, S Jbabdi, S Xu, J Andersson, J Auerbach, E Yacoub, E Feinberg, D Setsompop, K Wald, L Behrens, T Ugurbil, K Lenglet, C |
| author_facet | Sotiropoulos, SN Moeller, S Jbabdi, S Xu, J Andersson, J Auerbach, E Yacoub, E Feinberg, D Setsompop, K Wald, L Behrens, T Ugurbil, K Lenglet, C |
| author_sort | Sotiropoulos, SN |
| collection | OXFORD |
| description | PURPOSE: To examine the effects of the reconstruction algorithm of magnitude images from multichannel diffusion MRI on fiber orientation estimation. THEORY AND METHODS: It is well established that the method used to combine signals from different coil elements in multichannel MRI can have an impact on the properties of the reconstructed magnitude image. Using a root-sum-of-squares approach results in a magnitude signal that follows an effective noncentral-χ distribution. As a result, the noise floor, the minimum measurable in the absence of any true signal, is elevated. This is particularly relevant for diffusion-weighted MRI, where the signal attenuation is of interest. RESULTS: In this study, we illustrate problems that such image reconstruction characteristics may cause in the estimation of fiber orientations, both for model-based and model-free approaches, when modern 32-channel coils are used. We further propose an alternative image reconstruction method that is based on sensitivity encoding (SENSE) and preserves the Rician nature of the single-channel, magnitude MR signal. We show that for the same k-space data, root-sum-of-squares can cause excessive overfitting and reduced precision in orientation estimation compared with the SENSE-based approach. CONCLUSION: These results highlight the importance of choosing the appropriate image reconstruction method for tractography studies that use multichannel receiver coils for diffusion MRI acquisition. |
| first_indexed | 2024-03-07T02:31:48Z |
| format | Journal article |
| id | oxford-uuid:a77be86b-2ec0-4d16-8d85-bdf0bc4f541d |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T02:31:48Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | oxford-uuid:a77be86b-2ec0-4d16-8d85-bdf0bc4f541d2022-03-27T02:54:59ZEffects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a77be86b-2ec0-4d16-8d85-bdf0bc4f541dEnglishSymplectic Elements at Oxford2013Sotiropoulos, SNMoeller, SJbabdi, SXu, JAndersson, JAuerbach, EYacoub, EFeinberg, DSetsompop, KWald, LBehrens, TUgurbil, KLenglet, CPURPOSE: To examine the effects of the reconstruction algorithm of magnitude images from multichannel diffusion MRI on fiber orientation estimation. THEORY AND METHODS: It is well established that the method used to combine signals from different coil elements in multichannel MRI can have an impact on the properties of the reconstructed magnitude image. Using a root-sum-of-squares approach results in a magnitude signal that follows an effective noncentral-χ distribution. As a result, the noise floor, the minimum measurable in the absence of any true signal, is elevated. This is particularly relevant for diffusion-weighted MRI, where the signal attenuation is of interest. RESULTS: In this study, we illustrate problems that such image reconstruction characteristics may cause in the estimation of fiber orientations, both for model-based and model-free approaches, when modern 32-channel coils are used. We further propose an alternative image reconstruction method that is based on sensitivity encoding (SENSE) and preserves the Rician nature of the single-channel, magnitude MR signal. We show that for the same k-space data, root-sum-of-squares can cause excessive overfitting and reduced precision in orientation estimation compared with the SENSE-based approach. CONCLUSION: These results highlight the importance of choosing the appropriate image reconstruction method for tractography studies that use multichannel receiver coils for diffusion MRI acquisition. |
| spellingShingle | Sotiropoulos, SN Moeller, S Jbabdi, S Xu, J Andersson, J Auerbach, E Yacoub, E Feinberg, D Setsompop, K Wald, L Behrens, T Ugurbil, K Lenglet, C Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE. |
| title | Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE. |
| title_full | Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE. |
| title_fullStr | Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE. |
| title_full_unstemmed | Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE. |
| title_short | Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE. |
| title_sort | effects of image reconstruction on fiber orientation mapping from multichannel diffusion mri reducing the noise floor using sense |
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