RSNA 2012 - Rapid Application Development with XIP™ - the eXtensible Imaging Platform

The eXtensible Imaging Platform (XIP™) is an open source framework supporting rapid development of imaging and visualization applications. Imaging software developers can utilize XIP's visual ‘drag-and-drop’ programming tool (the XIP Builder™) and associated libraries (the XIP Libraries™) in creating applications. In addition to functions from the popular ITK and VTK libraries, the XIP Libraries include modules tailored for medical imaging, many of which are hardware accelerated via GPU programming (e.g., OpenGL® GLSL or OpenCL or CUDA C). Applications created with XIP can either run standalone, or as DICOM Hosted Applications. Through the DICOM Application Hosting interfaces (DICOM WG-23), a Hosting System, such as the XIP Host™, relieves the application developer from the need to re-implement infrastructure common to all applications (e.g.DICOM network connectivity, database, etc.). Users can execute Hosted Applications, such as those created with the XIP Libraries, via the XIP Host.

URL's http://www.OpenXIP.org

3Gear kinect gesture based interaction system

Check out 3Gear systems for their approach to use two kinect cameras to track motion.

According to their website their technology enables the Kinect to reconstruct a finger-precise representation of what the hands are doing. This allows us to build simple and intuitive interactions that leverage small, comfortable gestures: pinching and small wrist movements instead of sweeping arm motions, for example.

Publication: Postprocessing Pitfalls in Using CT for Global LV Function

This paper is a overview of the work we did on the evaluation of Left Ventricular (LV) function using Computed Tomography (CT). Earlier papers have already covered several aspects of this measurement. This paper, based on our poster presentation at RSNA 2010 provides a good overview of the problems that can arise in LV measurement.

Informatics in Radiology: Postprocessing Pitfalls in Using CT for Automatic and Semiautomatic Determination of Global Left Ventricular Function.
van Ooijen PM, de Jonge GJ, Oudkerk M.
Radiographics. 2012 Mar;32(2):589-99. 


Abstract
Recent advances in technical capabilities of computed tomographic (CT) scanners, including an increasing number of detector rows, improved spatial and temporal resolution, and the development of retrospective gating, have allowed the acquisition of four-dimensional (4D) datasets of the beating heart. As a result, the heart can be visualized in different phases and CT datasets can be used to assess cardiac function. Many software packages currently exist that allow automatic or semiautomatic evaluation of left ventricular function on the basis of 4D CT datasets. The level of automation varies from extensive, completely manual segmentation by the user to fully automatic evaluation of left ventricular function without any user interaction. Although the reproducibility of functional parameter assessment is reported to be high and intersoftware variability low for larger groups of patients, significant differences can exist among measurements obtained with different software tools from the same dataset. Thus, careful review of automatically or semiautomatically obtained results is required.