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MIPAV stands for "Medical Image Processing, Analysis, and Visualization," a software application developed by the National Institutes of Health (NIH) for the processing, analysis, and visualization of medical imaging data. Designed to meet the diverse needs of medical researchers, clinicians, and imaging professionals, MIPAV offers a comprehensive suite of tools and algorithms for the visualization and quantitative analysis of various medical imaging modalities, including magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), and single-photon emission computed tomography (SPECT). MIPAV enables users to perform a wide range of tasks, such as image registration, segmentation, feature extraction, three-dimensional reconstruction, and statistical analysis, to extract valuable information from medical images and aid in diagnosis, treatment planning, and research. With its user-friendly interface, customizable workflows, and support for standard image file formats, MIPAV facilitates collaboration and knowledge sharing among interdisciplinary teams, allowing researchers and clinicians to leverage advanced imaging technologies and analytical techniques to address complex biomedical challenges and improve patient care. Whether used for neuroimaging studies, cardiovascular research, oncology imaging, or other medical applications, MIPAV provides a powerful and flexible platform for unlocking the full potential of medical imaging data and advancing our understanding of human health and disease.