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  • Book
    Rahul P. Kotian, Prakashini Koteshwar.
    Summary: 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.​

    Contents:
    History and Basic Principles of Magnetic Resonance Imaging
    Image Contrast Mechanisms in Diffusion-Weighted and Diffusion-Tensor Imaging
    DWI Physics and Imaging Techniques
    Advanced MRI Neuroimaging 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-T MRI for Early Parkinson’s Disease
    Introduction: Types of Parkinson’s Disease
    Evidence of Fractional Anisotropy in Parkinson’s Disease
    FA Characteristics as Imaging Biomarkers Among the Indian Population in Early Parkinson’s Disease.
    Digital Access Springer 2022