MIView is an OpenGL based medical image viewer that contains useful tools such as a DICOM anonymizer and format conversion utility. MIView can read DICOM, Analyze/Nifti, and raster images, and can write Analyze/Nifti and raster images. It can also read and convert DICOM mosaic images. The main goal of MIView is to provide a platform to load any type of medical image and be able to view and manipulate the image. Volume rendering is the main type of advanced visualization that I'm trying to implement.
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Droid Dicom Viewer is a DICOM Viewer for the Android platform.
Droid Dicom Viewer implements a part of the DICOM standard. It reads DICOM images that are coded on 8 bits and 16 bits. It supports only grayscale not compressed DICOM files. It parses implicit and explicit (little endian and big endian) value representation (VR).
Kradview is a GPLed viewer of images obtained for some different sources: X-ray, NMR and DICOM-compatible imaging devices that runs on free operating systems. Its aim is a easy to use DICOM viewer with instant rendering of images, no matter the size and the zoom of the DICOM image. It covers the "let's see the the X-ray image" need of the medical professional.
The MedicalExplorationToolkit (METK) was designed for loading, visualizing and exploring segmented medical data sets. It is a framework of several modules in MeVisLab, a development environment for medical image processing and visualization.
- Case Management: Load and save whole cases of segmented structures e.g. for surgery planning, educational training or intra operative visualization.
- Basic Visualization in 2D and 3D: Visualize segmented structures in multiple manner e.g. iso surface rendering, stippling, hatching, silhouettes, volume rendering, 2d overlays.
Adherence is defined as "the extent to which a person’s behavior coincides with medical or health
advice", which is very important, for both clinical researchers and physicians, to identify the treatment
effect of a specific medication(s).
A Cross-platform DICOM viewer developed in Java using the dcm4che toolkit. Mayam is still work under progress. The current features are:
- DICOM Listener for Q/R
- DICOM Send
- Local DB for storing study information
- Importing DICOM studies from local disk
- Parsing DicomDir from local disk or CD
- Query compressed studies without decompressing them
- Multiple Studies viewer using Layout,Tab view
Dicoogle PACS is a distributed medical image system and offers the following features:
"Bots for the translations and communication needed in Electronic Data Interchange (EDI). Bots has three main functions: 'Any-to-any-format' data conversions, (Secure) communications and manage and overview EDI data flows."