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Start Over Author "Midiri F." Journal clinical neuroradiology
3 results on '"Midiri F."'

2. Physics, Techniques and Review of Neuroradiological Applications of Diffusion Kurtosis Imaging (DKI).

Author

Marrale, M., Collura, G., Brai, M., Toschi, N., Midiri, F., La Tona, G., Lo Casto, A., and Gagliardo, C.

Abstract

In recent years many papers about diagnostic applications of diffusion tensor imaging (DTI) have been published. This is because DTI allows to evaluate in vivo and in a non-invasive way the process of diffusion of water molecules in biological tissues. However, the simplified description of the diffusion process assumed in DTI does not permit to completely map the complex underlying cellular components and structures, which hinder and restrict the diffusion of water molecules. These limitations can be partially overcome by means of diffusion kurtosis imaging (DKI). The aim of this paper is the description of the theory of DKI, a new topic of growing interest in radiology. DKI is a higher order diffusion model that is a straightforward extension of the DTI model. Here, we analyze the physics underlying this method, we report our MRI acquisition protocol with the preprocessing pipeline used and the DKI parametric maps obtained on a 1.5 T scanner, and we review the most relevant clinical applications of this technique in various neurological diseases. [ABSTRACT FROM AUTHOR]

Published
2016
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3. Physics, Techniques and Review of Neuroradiological Applications of Diffusion Kurtosis Imaging (DKI)

Author

A. Lo Casto, Federico Midiri, Giorgio Collura, Maria Brai, G. La Tona, Nicola Toschi, Cesare Gagliardo, Maurizio Marrale, Marrale, M, Collura, G, Brai, M, Toschi, N, Midiri, F, La Tona, G, Lo Casto, A, and Gagliardo, C

Subjects
Diffusion tensor imaging (DTI), computer.software_genre, Sensitivity and Specificity, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Settore MED/36 - Diagnostica per Immagini e Radioterapia, Image Interpretation, Computer-Assisted, Humans, Preprocessor, Radiology, Nuclear Medicine and imaging, Magnetic resonance imaging (MRI), Diffusion (business), DKI, Diffusion Kurtosis Imaging, Parametric statistics, Physics, Brain Diseases, Diffusion weighted imaging (DWI), Reproducibility of Results, Brain, Settore MED/37 - Neuroradiologia, Image Enhancement, White Matter, Settore FIS/07 - Fisica Applicata(Beni Culturali, Ambientali, Biol.e Medicin), Acquisition Protocol, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, Neuroradiology, Diffusion process, DTI, DWI, Neuroradiology, Diffusional kurtosis imaging (DKI), Settore MED/26 - Neurologia, Neurology (clinical), Data mining, computer, Algorithms, 030217 neurology & neurosurgery, MRI, Diffusion MRI
Abstract

In recent years many papers about diagnostic applications of diffusion tensor imaging (DTI) have been published. This is because DTI allows to evaluate in vivo and in a non-invasive way the process of diffusion of water molecules in biological tissues. However, the simplified description of the diffusion process assumed in DTI does not permit to completely map the complex underlying cellular components and structures, which hinder and restrict the diffusion of water molecules. These limitations can be partially overcome by means of diffusion kurtosis imaging (DKI). The aim of this paper is the description of the theory of DKI, a new topic of growing interest in radiology. DKI is a higher order diffusion model that is a straightforward extension of the DTI model. Here, we analyze the physics underlying this method, we report our MRI acquisition protocol with the preprocessing pipeline used and the DKI parametric maps obtained on a 1.5 T scanner, and we review the most relevant clinical applications of this technique in various neurological diseases.

Published
2015
Full Text
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