2012 Progress Report Science Wiki Version Engineering

5.2. Engineering

Key Investigators

• Will Schroeder, Kitware
• Stephen R. Aylward, Kitware
• Steve Pieper, Isomics
• Jim Miller, GE Research

The Engineering component of the Computer Science Core (Core 1b) has been focusing on the infrastructure needed for the Algorithms component to implement their methods, and has been working closely with them so that the functionality we provide can serve to inspire new methods as well. Herein we provide more details regarding our accomplishments in those directions

5.2.1. End-user Platform: 3D Slicer

Steve Pieper

Release of 3D Slicer version 4.0 and 4.1

As shown in Figure 1, 3D Slicer version 4.0 (commonly called Slicer4) is having an immediate world-wide impact. Version 4.0, released at the Radiology Society of North America (RSNA) meeting in late November 2011, is the result of a major effort by the NA-MIC engineering cores, in collaboration with the wider Slicer community, to re-implement and streamline the software in response to feedback from NA-MIC DBPs and algorithm developers. A new 3D Slicer version 4.1 release, being finalized at the time of this writing, adds back many of the advanced features of Slicer3, notably the Extension system by which new functionality can be downloaded and installed independent of the main executable. As described more fully below, these sweeping changes required touching not only most of the code in Slicer, but also feeding important feature and bug fix changes back into the rest of the NA-MIC Kit and upstream libraries. As a result of these efforts, 3D Slicer in now an improved reference implementation of a modern medical image computing package and a strong foundation for research.

Figure 1: 3D Slicer version 4.0 end-user downloads during the first 3 months of 2012, a rate of 45,360 per year (over 100 downloads per day). Interactive geolocated download statistics are available at http://download.slicer.org/stats.

Major Developments and New Functionality in Slicer4

• Modern Cross-Platform Design Patterns: As a by-product of the port of the user interface from KWWidgets to Qt, a comprehensive suite of non-GUI OS abstractions and utility functions from Qt became available to support core application functions such as preference settings, multi-processing, application resource data. This was a direct benefit from the GUI port supported by an ARRA supplement to the Neuroimage Analysis Center, a NA-MIC collaborating P41 grant. Slicer4 supports native windows 64 bit environments and can be bundled into a standard Mac OS X application bundle.
• Efficiency and Robustness: Careful review of core data management and processing pipeline steps allowed us to remove much redundant processing. The result is that Slicer is easier for developers to understand and debug, and end users experience faster startup and more responsive behavior.
• DICOM Networking: Slicer4 includes a DICOM listener and DICOM Query/Retrieve capabilities for integration with standard clinical image management environments and workflows. For example, intraprocedural imaging obtained during image guided procedures can now be auto-routed to Slicer for analysis and navigation.
• Additional Features: Slicer4 includes: an improved flexible view layout system; a revised implementation of the Expectation Maximization (EM) Segmenter; faster hardware accelerated volume rendering; improved markups and annotations; improved atlas and model hierarchy support; a streamlined and revised diffusion MRI implementation.

Plans

With the introduction of the Slicer4 Extension system we plan to stabilize the core slicer distribution and move to less frequent releases with more of the algorithm innovation becoming available through as Extensions. This will allow further stabilization and streamlining of the core while speeding up the delivery of new technologies to end users for testing.

5.2.2. Computational Platform

Jim Miller

Efforts in the Computational Platform have focused on developing a general and flexible computing architecture and analysis platform to meet the needs of NA-MIC scientists and engineers as well as the larger medical imaging community.

Major Developments

• Interactive methods: The Editor module has supported interactive segmentation techniques that were deeply integrated with the Editor codebase. We have broadened the Slicer Extension mechanisms to support Editor Extensions, allowing interactive segmentation techniques to be developed separately from the Slice codebase. We have also refined the interaction patterns for interactive segmentation within the Editor and are starting to develop interactive registration techniques.
• Multivolume analysis: The infrastructure for Diffusion Weighted MRI (DWI) IO and visualization has been generalized to be used for other time varying acquisitions like Dynamic Contrast Enhanced MRI (DCE) and Gated Cardiac CT. Massively univariate processing of DCE to produce parametric maps is being developed as a Slicer Extension.
• Distributed computing: Slicer Execution Model modules (also known as Command Line Modules) are now available as Nipype tools, enabling local and distributed scripted execution of processing pipelines.
• Exploratory image analysis: Infrastructure for the interactive exploration of images and the relationships of features calculated over regions of images was developed, including: feature libraries for Gabor, Haralick, entropy, polynomial, and histograms; and charting capabilities to display line, bar, and scatter plots within Slicer.
• Compatibility with ITK version 4: Compatibility with ITK version 4 was developed and continuously maintained over the past year as ITKv4 matured. Slicer will officially switch to ITKv4 in the coming months.

Plans

At the time of this writing, 3D Slicer 4.1 is being finalized. After the release of Slicer 4.1, the Slicer development codebase will migrate to using ITK version 4. This migration will enable new image registration methods, introduce SimpleITK APIs, and introduce GPU support for image analysis algorithms. Other plans for the Computational Platform include further developments for interactive analysis methods, infrastructure for private cloud computing, and interfaces for statistical analysis.

5.2.3. Data Management Platform

Who?

5.2.4. Community Software Process

Stephen R. Aylward

The goal of the Community Software Process effort is to provide tools and processes that make it easy for algorithms developers to contribute methods to the NA-MIC Kit, while maintaining the NA-MIC Kit's high-quality software standards.

This year, we have seen massive expansion and significant stabilization of the NA-MIC Kit. While these two accomplishments may seem at odds, they actually represent the planned progression of our community software processes. The specific aims and approaches we pursued to achieve these accomplishments are as follows:

• Provide a modern, stable platform: Slicer 4.0 has been released. This is a major milestone in the NA-MIC community. Slicer 4.0 represents a re-write of the majority of the slicer core to achieve stability, remove redundancy, refactor inefficiencies, and provide new pathways for growth. The most noticeable change is the conversion of the user interface to Qt - which provided speed, stability, and support from the well established Qt community.

• Provide a simple interface for algorithm developers to extend Slicer:
  • Python has been adopted as the preferred scripting language, and it has been tightly integrated into Slicer 4.0. Python is a powerful scripting language with strong scientific computing support via add-on libraries such as SciPy, NumPy, and NiPy.
  • Slicer Extension Manager is now the Slicer Catalog. It is a new web-based system that builds upon the "App Store" concept that is familiar to Android and Apple users. Users can easily install, uninstall, rate, and comment on extensions. Developers can easily add new extensions, upload revisions, add screenshots, and respond to feedback from users.

• Provide access to the best algorithms: ITKv4 has been released by the Insight Software Consortium, and we have begun integrating this new version of ITK and its associated wrapping for Python (i.e., SimpleITK) into Slicer 4.0.

• Provide easy access to clinical data: Upgraded the version of the DICOM library (DCMTK) used by Slicer and provided improved DICOM RT support. We also have begun supporting Ultrasound (e.g., video) and 4D (e.g., gated CT) data in Slicer.

• Provide easy-to-create and easy-to-access documentation: We have integrated the extension writing and the documentation generation processes. The documentation created when an extension is written is now automatically ported to a web host for easier access from within and from outside of Slicer.

Plans

• Distribution: WebGL
• Algorithms: Complete integration of ITKv4
• Extension Manager:
• DICOM, Ultrasound, and 4D Data

5.3. NA-MIC Kit

5.3.1. Expansion

Stephen R. Aylward

Progress

• Package Manager
• Updates to ITK, VTK, Qt, CMake, DCMTK, ...
• CTK
• GUI Testing

5.3.2. Release

Stephen R. Aylward