TeraRecon updates enterprise image management at ACC
TeraRecon released version 4.4.7 of its iNtuition enterprise image management system with support for quantitative volumetric cardiac imaging, at the 61st annual scientific session and expo of the American College of Cardiology (ACC), in Chicago.
The release features tools to support quantitative volumetric cardiac imaging, including:
The release features tools to support quantitative volumetric cardiac imaging, including:
- Lobular Decomposition is an analysis and segmentation tool with potential research applications, such as investigation of the correlation between the coronary arteries and the myocardium. For any structure or organ region which is intertwined with a tree-like structure, the tool allows the user to select the volume of interest, as well as the trees related to it, and to partition the volume into lobes or territories which are most proximal to the tree or any specific sub-branch.
- Motion Analytics provides a 2D representation of a 4D process to help communicate findings when 3D or 4D display is not available. Any dynamic volume acquisition can be subjected to motion analysis to generate a color-coded “trail” of outlines of key boundaries, throughout the dynamic sequence, allowing a single 2D frame to capture and illustrate the motion.
- Support for TAVI/TAVR helps facilitate transcatheter replacement of aortic valves.
- iGENTLE supports iNtuition’s suite of segmentation, centerline and metadata extraction tools, including with noisy scans characterized by low-dose CT acquisitions. Metadata are extracted from enhanced copies of the original scan, and then applied back onto the original, unmodified data.
- Integrating Quantitative Metadata allows measurements and other quantitative results obtained with iNtuition to be reported, tracked, stored and later mined. A structured measurement protocol feature supports the export of quantitative metadata into other systems.
- iNtuitionEMV is a zero-footprint, multi-modality, browser-based viewer designed to integrate with other healthcare informatics systems.