Optimization of diffusion imaging for multiple target regions using maximum likelihood estimation
In this work a procedure is proposed to determine an optimal distribution of b-values in diffusion MRI measu-rements. The optimization procedure uses a method of Maximum Likelihood Estimation which can operate on any given number of b-values, values of the diffusion coefficients (ADC) and measuremen...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2017-09-01
|
| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2017-0043 |
| _version_ | 1797848734062608384 |
|---|---|
| author | Bielak Lars Bock Michael |
| author_facet | Bielak Lars Bock Michael |
| author_sort | Bielak Lars |
| collection | DOAJ |
| description | In this work a procedure is proposed to determine an optimal distribution of b-values in diffusion MRI measu-rements. The optimization procedure uses a method of Maximum Likelihood Estimation which can operate on any given number of b-values, values of the diffusion coefficients (ADC) and measurement noise strengths. Optimal b-values are calculated for white and gray brain matter. An optimi-zation for more than one ADC is demonstrated using multiple target values. |
| first_indexed | 2024-04-09T18:33:30Z |
| format | Article |
| id | doaj.art-d62f0534f2b34f78abdad197129a6fdc |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-09T18:33:30Z |
| publishDate | 2017-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-d62f0534f2b34f78abdad197129a6fdc2023-04-11T17:07:13ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042017-09-013220320610.1515/cdbme-2017-0043cdbme-2017-0043Optimization of diffusion imaging for multiple target regions using maximum likelihood estimationBielak Lars0Bock Michael1Dept. of Radiology, Medical Physics, Medical Center – University of Freiburg, Breisacherstr.60a, 79106 Freiburg, GermanyDept. of Radiology, Medical Physics, Medical Center – University of Freiburg, Breisacherstr.60a, 79106 Freiburg, GermanyIn this work a procedure is proposed to determine an optimal distribution of b-values in diffusion MRI measu-rements. The optimization procedure uses a method of Maximum Likelihood Estimation which can operate on any given number of b-values, values of the diffusion coefficients (ADC) and measurement noise strengths. Optimal b-values are calculated for white and gray brain matter. An optimi-zation for more than one ADC is demonstrated using multiple target values.https://doi.org/10.1515/cdbme-2017-0043diffusion mrimaximum likelihood analysismri protocol optimization |
| spellingShingle | Bielak Lars Bock Michael Optimization of diffusion imaging for multiple target regions using maximum likelihood estimation Current Directions in Biomedical Engineering diffusion mri maximum likelihood analysis mri protocol optimization |
| title | Optimization of diffusion imaging for multiple target regions using maximum likelihood estimation |
| title_full | Optimization of diffusion imaging for multiple target regions using maximum likelihood estimation |
| title_fullStr | Optimization of diffusion imaging for multiple target regions using maximum likelihood estimation |
| title_full_unstemmed | Optimization of diffusion imaging for multiple target regions using maximum likelihood estimation |
| title_short | Optimization of diffusion imaging for multiple target regions using maximum likelihood estimation |
| title_sort | optimization of diffusion imaging for multiple target regions using maximum likelihood estimation |
| topic | diffusion mri maximum likelihood analysis mri protocol optimization |
| url | https://doi.org/10.1515/cdbme-2017-0043 |
| work_keys_str_mv | AT bielaklars optimizationofdiffusionimagingformultipletargetregionsusingmaximumlikelihoodestimation AT bockmichael optimizationofdiffusionimagingformultipletargetregionsusingmaximumlikelihoodestimation |