Diffusion Tensor Imaging and Fractional Anisotropy : Imaging Biomarkers in Early Parkinson's Disease / [E-Book]

History & Basic Principles of Magnetic Resonance Imaging -- Image contrast mechanisms in Diffusion Weighted and Diffusion Tensor Imaging -- Diffusion weighted imaging physics and techniques -- Advanced MRI Neuro imaging technique - Diffusion Tensor Imaging -- Fractional anisotropy: Scalar derivative of Diffusion Tensor Imaging -- Diffusion Tensor Imaging Instrumentation -- Diffusion tensor imaging and fractional anisotropy protocol at 1.5 Tesla MRI for Early Parkinson's disease -- DTI and FA: Introduction to Parkinson's disease -- Evidence of fractional anisotropy in Parkinson's disease -- FA characteristics as imaging biomarkers among Indian population in early Parkinson's disease.

The book covers all aspects of one of the most advanced magnetic resonance imaging techniques, namely Diffusion Tensor Imaging (DTI) and Fractional Anisotropy (FA) values in early Parkinson's disease (PD) patients. It provides step-by-step descriptions of DTI and its use in the early diagnosis of Parkinson's disease by using FA values at several grey and white matter regions of the brain with helpful MRI DTI images. It includes clear flow charts with MRI DTI imaging protocol for Parkinson's disease to aid in early diagnosis and treatment. The book covers essential information on anatomy and pathology in Parkinson's disease and includes dedicated chapters on diffusion tensor imaging and FA in Parkinson's disease. Additionally, it covers the role of magnetic resonance imaging in Parkinson's disease with routine findings for Parkinson's disease in MRI, followed by advanced imaging biomarkers and predictors in Parkinson's disease. The book will assist the practitioners in the early detection of Parkinson's disease using specific imaging biomarkers with the help of FA values, which will help in the early treatment of PD patients and thus extend and improve their quality of life. It will also be relevant for MD radiology, M.Sc. medical imaging technology students/trainees and Ph.D. medical imaging graduates as well as B.Sc MIT students.