Spatially selective 2D RF inner field of view (iFOV) diffusion kurtosis imaging (DKI) of the pediatric spinal cord
Autor: | Mary Jane Mulcahey, Pallav Shah, Rebecca Sinko, Mahdi Alizadeh, Chris J. Conklin, Jürgen Finsterbusch, David L. Raunig, Joan Z. Delalic, Laura Krisa, Devon M. Middleton, Scott H. Faro, Feroze B. Mohamed |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Male
Scanner Adolescent Cognitive Neuroscience Gaussian Spinal cord injury lcsh:Computer applications to medicine. Medical informatics Pediatrics Spinal Cord Diseases lcsh:RC346-429 030218 nuclear medicine & medical imaging Diffusion 03 medical and health sciences symbols.namesake 0302 clinical medicine Image Processing Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Diffusion (business) Child Diffusion Kurtosis Imaging lcsh:Neurology. Diseases of the nervous system Diffusion kurtosis imaging (DKI) medicine.diagnostic_test business.industry Brain Regular Article Statistical model Magnetic resonance imaging Diffusion Magnetic Resonance Imaging Diffusion Tensor Imaging Neurology Kurtosis symbols lcsh:R858-859.7 Female Neurology (clinical) business Algorithms 030217 neurology & neurosurgery Biomedical engineering Diffusion MRI |
Zdroj: | NeuroImage: Clinical, Vol 11, Iss C, Pp 61-67 (2016) NeuroImage : Clinical |
ISSN: | 2213-1582 |
Popis: | Magnetic resonance based diffusion imaging has been gaining more utility and clinical relevance over the past decade. Using conventional echo planar techniques, it is possible to acquire and characterize water diffusion within the central nervous system (CNS); namely in the form of Diffusion Weighted Imaging (DWI) and Diffusion Tensor Imaging (DTI). While each modality provides valuable clinical information in terms of the presence of diffusion and its directionality, both techniques are limited to assuming an ideal Gaussian distribution for water displacement with no intermolecular interactions. This assumption neglects pathological processes that are not Gaussian therefore reducing the amount of potentially clinically relevant information. Additions to the Gaussian distribution measured by the excess kurtosis, or peakedness, of the probabilistic model provide a better understanding of the underlying cellular structure. The objective of this work is to provide mathematical and experimental evidence that Diffusion Kurtosis Imaging (DKI) can offer additional information about the micromolecular environment of the pediatric spinal cord. This is accomplished by a more thorough characterization of the nature of random water displacement within the cord. A novel DKI imaging sequence based on a tilted 2D spatially selective radio frequency pulse providing reduced field of view (FOV) imaging was developed, implemented, and optimized on a 3 Tesla MRI scanner, and tested on pediatric subjects (healthy subjects: 15; patients with spinal cord injury (SCI):5). Software was developed and validated for post processing of the DKI images and estimation of the tensor parameters. The results show statistically significant differences in mean kurtosis (p Highlights • Diffusion Kurtosis Imaging (DKI) was performed on pediatric subjects using a tilted 2D RF reduced field of view sequence. • Results show statistically significant differences in FA, MK, Krad, and Drad between healthy subjects and patients with SCI. • DKI provides additional structural information that when paired with DTI metrics could be used as a novel imaging biomarker. |
Databáze: | OpenAIRE |
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