Understanding MIPAV capabilities

MIPAV Algorithms Overview

[v2Overview.html#1605086 "Introducing MIPAV" ]

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[v2Overview.html#1029995 "Developing new tools using the API" ]

Introducing MIPAV

Imaging is an essential component in many fields of medical research and clinical practice. Biologists study cells and generate three-dimensional (3D) confocal microscopy datasets, virologists generate 3D reconstructions of viruses from micrographs, radiologists identify and quantify tumors from Magnetic Resonance Imaging (MRI) and Computerized Tomography (CT) scans, and neuroscientists detect regional metabolic brain activity from Positron Emission Tomography (PET) and functional MRI scans. Analysis of these diverse types of images requires sophisticated computerized quantification and visualization tools. Until recently, 3D visualization of images and quantitative analyses could only be performed using expensive UNIX workstations and customized software. Because of technological advancements, much of the today's visualization and analysis can be performed on an inexpensive desktop computer equipped with the appropriate graphics hardware and software. The Medical Image Processing, Analysis, and Visualization (MIPAV) software application takes advantage of the recent technological advancements, while offering functionality specifically designed for the medical community.

MIPAV is an extensible image processing, analysis, and visualization software. Because MIPAV is Java-based, it can run on virtually any platform. It can also accommodate n-dimensional images in over 20 different file formats, including DICOM, Analyze, TIFF, JPG, and RAW.

MIPAV is designed to be both a software application and an application programming interface (API). As a software application, MIPAV provides an easy-to-use graphical user interface (GUI) that allows researchers to extract quantitative information from various medical imaging modalities.