Difference between revisions of "Slicer3:Architecture/Features"
From Slicer Wiki
m (1 revision)
Revision as of 17:57, 15 May 2008Home < Slicer3:Architecture < Features
The main goals of the slicer3 re-work are:
- Provide a clean, well-defined, flexible and functional application structure for medical image computing developers and users
- Learn from user and developer feedback about earlier versions of slicer as well as other packages with similar goals
- Maximize the re-use of code by making it easy use pieces of slicer in other environments and to plug diverse pieces of code into the slicer model
At a high level, these goals are to be implemented through:
- A data-centric approach in which the Data Model (implemented as a follow on to the MRML Tree) is implemented independent of the visualization and algorithmic components of the system
- The Data Model API allows adding, deleting, reading, and modifying medical image data types (Volumes, Models, Transforms, Fiducials, etc).
- The Data Model provides functionality to serialize and deserialize the contents in an XML structure
- The Data Model API is structured to allow the either direct access (in the same process space with the algorithms) or through a client/server connection.
- A set of Adaptor Classes will be provided to allow access to the Data Model API through ITK Image Readers/Writers, VTK Image Readers/Writers, and command line utility commands. These adaptors will support access to the data by programs that have not specifically been written to support the slicer Data Model.
- An Execution Model in which algorithmic functionality is encapsulated such that they can be used in one of several modes:
- as stand-alone command line executables (for use in testing or to be called from batch scripts; these executables are also important to enable grid/distributed computing)
- as shared libraries linked into a parent application (i.e. brought into the slicer application address space where the classes can be instantiated and methods invoked with data passed as pointers)
- a framework to enable algorithm developers to efficiently code these execution modules will be provided using ITK
- A UI application interface that
- presents a consistent and modern look and feel to end users
- a 'thin' application layer that is independent of the data and execution implementation
- a UI description language (XML) so that execution modules can be 'self describing' in terms of their parameters so that, for example, the UI elements can be provided through a --xml-help command line argument
- a class hierarchy of reusable UI Widgets that enforce consistent look and feel and can be used in multiple modules
- UI widgets that are 'aware' of the Data Model, UI, and other slicer3 elements to support high level operations (e.g. a coordinate system browser, a volume properties editor, a view controller, etc).
- A 'trace' capability in the UI to support scripted tests and demos (possibly also user macros).
- A Visualization Environment customized for medical image processing (VTK based)
- A framework for representing and displaying elements of the Data Model with sub-voxel accurate rendering
- Ability to represent and display composite scenes with volumes, models, landmarks, and fiducials
- Ability for modules to add transient display elements (e.g. glyphs and widgets) to support interaction
- Cross platform high performance rendering infrastructure
- a framework to support module development
- Other global features and requirements
- Cross platform to at least: Windows, Linux, Mac. Solaris, SGI, AIX desirable but not critical.
- As much code coverage as possible in nightly testing
- Integrated with CPack for distribution and installation.
Features & capabilities "wish-list"
See Feature and Resource Requests to make a new Slicer 3 feature or resource request or to browse existing ones.