دورية أكاديمية
Motion Detection in Diffusion MRI via Online ODF Estimation
| العنوان: | Motion Detection in Diffusion MRI via Online ODF Estimation |
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| المؤلفون: | Emmanuel Caruyer, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, Rachid Deriche |
| المصدر: | International Journal of Biomedical Imaging, Vol 2013 (2013) |
| بيانات النشر: | Hindawi Limited, 2013. |
| سنة النشر: | 2013 |
| المجموعة: | LCC:Medical physics. Medical radiology. Nuclear medicine LCC:Medical technology |
| مصطلحات موضوعية: | Medical physics. Medical radiology. Nuclear medicine, R895-920, Medical technology, R855-855.5 |
| الوصف: | The acquisition of high angular resolution diffusion MRI is particularly long and subject motion can become an issue. The orientation distribution function (ODF) can be reconstructed online incrementally from diffusion-weighted MRI with a Kalman filtering framework. This online reconstruction provides real-time feedback throughout the acquisition process. In this article, the Kalman filter is first adapted to the reconstruction of the ODF in constant solid angle. Then, a method called STAR (STatistical Analysis of Residuals) is presented and applied to the online detection of motion in high angular resolution diffusion images. Compared to existing techniques, this method is image based and is built on top of a Kalman filter. Therefore, it introduces no additional scan time and does not require additional hardware. The performance of STAR is tested on simulated and real data and compared to the classical generalized likelihood ratio test. Successful detection of small motion is reported (rotation under 2°) with no delay and robustness to noise. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1687-4188 1687-4196 |
| Relation: | https://doaj.org/toc/1687-4188; https://doaj.org/toc/1687-4196 |
| DOI: | 10.1155/2013/849363 |
| URL الوصول: | https://doaj.org/article/d462b7316da14498b3c252617b400458 |
| رقم الأكسشن: | edsdoj.462b7316da14498b3c252617b400458 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 16874188 16874196 |
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| DOI: | 10.1155/2013/849363 |