Amol S. Pednekar

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PURPOSE To automatically optimize three-dimensional double-inversion recovery (3D-DIR) MRI of the brain on a patient-by-patient basis. METHODS DIR is a powerful MRI technique that allows simultaneous suppression of white matter (WM) and cerebrospinal fluid (CSF) in brain imaging. Unfortunately, the tissue suppression is not always consistent across(More)
PURPOSE We present a platform, GRAphical Pipeline Environment (GRAPE), to facilitate the development of patient-adaptive magnetic resonance imaging (MRI) protocols. METHODS GRAPE is an open-source project implemented in the Qt C++ framework to enable graphical creation, execution, and debugging of real-time image analysis algorithms integrated with the(More)
Adapting medical imaging protocols to the individual patient has the potential to improve the information content and enhance the detection of subtle pathologies. We propose a framework for automated patient adaptive scanning in magnetic resonance imaging (MRI) based on a pseudo-real-time imaging pipeline. Using adaptive scanning, improved tissue contrast(More)
PURPOSE To improve the conspicuity of white matter lesions (WMLs) in multiple sclerosis (MS) using patient-specific optimization of single-slab 3D fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI). MATERIALS AND METHODS Sixteen MS patients were enrolled in a prospective 3.0T MRI study. FLAIR inversion time and echo time were(More)
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