Software
We've compiled a list of 11 free and paid alternatives to MIPAV. The primary competitors include Horos, DICOM Izer. In addition to these, users also draw comparisons between MIPAV and MicroDicom, AMIDE, Osiri-LXIV. Also you can look at other similar options here: Photos and Graphics Software.
We've compiled a list of 11 free and paid alternatives to MIPAV. The primary competitors include Horos, DICOM Izer. In addition to these, users also draw comparisons between MIPAV and MicroDicom, AMIDE, Osiri-LXIV. Also you can look at other similar options here: Photos and Graphics Software.
DICOM Izer is an easy-to-use solution for capturing and distributing medical images with or without...
MicroDicom is application for primary processing and preservation of medical images in DICOM...
AMIDE is a completely free tool for viewing, analyzing, and registering volumetric medical imaging...
Jim is a medical image display package that allows easy viewing and analysis of Magnetic Resonance...
DicomWorks is a free DICOM viewer and utility that allows to read DICOM images locally (CDROM, hard...
DICOMscope is a free DICOM viewer which can display uncompressed, monochrome DICOM images from all...
What is MIPAV? The MIPAV (Medical Image Processing, Analysis, and Visualization) application enab...
What is MIPAV? The MIPAV (Medical Image Processing, Analysis, and Visualization) application enab...
Linux
Mac
Windows
What is MIPAV?
The MIPAV (Medical Image Processing, Analysis, and Visualization) application enables quantitative analysis and visualization of medical images of numerous modalities such as PET, MRI, CT, or microscopy. Using MIPAV's standard user-interface and analysis tools, researchers at remote sites (via the internet) can easily share research data and analyses, thereby enhancing their ability to research, diagnose, monitor, and treat medical disorders.
MIPAV is a Java application and can be run on any Java-enabled platform such as Windows, UNIX, or Macintosh OS X.
Goals for MIPAV
MIPAV is to meet the following goals:
To develop computational methods and algorithms to analyze and quantify biomedical data;
To collaborate with NIH researchers and colleagues at other research centers in applying information analysis and visualization to biomedical research problems;
To develop tools (in both hardware and software) to give our collaborators the ability to analyze biomedical data to support the discovery and advancement of biomedical knowledge.
Need for MIPAV
Imaging has become an essential component in many fields of bio-medical research and clinical practice. Biologists study cells and generate 3D confocal microscopy data sets, virologists generate 3D reconstructions of viruses from micrographs, radiologists identify and quantify tumors from MRI and CT scans, and neuroscientists detect regional metabolic brain activity from PET and functional MRI scans. Analysis of these diverse types of images requires sophisticated computerized quantification and visualization tools. To support scientific research in the NIH intramural program, CIT has made major progress in the development of a platform-independent, n-dimensional, general-purpose, extensible image processing and visualization program.
Share your opinion about the software, leave a review and help make it even better!
Suggest Changes
Your Feedback
Your vote has been counted.
Do you have experience using this software?
