Nov 29, 2016 | By Benedict

Philips has launched IntelliSpace Portal 9.0, a new visual analysis and quantification platform for physicians that provides 3D rendering and 3D printing features. The STL export feature allows clinicians to 3D print medical models with high levels of detail and resolution.

Taking part in this week's 2016 Radiological Society of North America Annual Meeting in Chicago, Dutch technology company Philips has announced the release of IntelliSpace Portal 9.0, the latest version of its comprehensive, advanced visual analysis and quantification platform for medical professionals. The new version features multi-modality functions and expanded neurological tools, in addition to expanded options for 3D rendering and 3D printing medical models that can be used to better understand patient anatomy.

Use of 3D printing technology is becoming more commonplace in the medical world, with its most frequent applications involving the production of 3D printed anatomical models that can be used as surgical aids or as educational tools for medical students and professionals. With IntelliSpace Portal 9.0, Philips provides a new platform with which physicians can combat brain injuries and neurological disorders such as dementia, strokes, amyotrophic lateral sclerosis (ALS), and multiple sclerosis (MS), as well as other conditions.

Using new machine learning capabilities, IntelliSpace Portal 9.0 helps radiologists detect, diagnose, and follow up on treatment of diseases, with features like Longitudinal Brain Imaging (not yet approved for use in the US) used to support the evaluation of neurological disorders over time. This continued monitoring allows clinicians to follow the progression of a disease. IntelliSpace Portal 9.0 also includes the NeuroQuant measurement application from CorTech Labs, which enables clinicians to quantify brain volume loss.

“As the rates of dementia and neurodegeneration rise, neuroradiologists need advanced tools to help referring physicians treat these challenging cases,” said Professor Dr. Leo Wolansky, Acting Chief of Neuroradiology at University Hospitals Cleveland Medical Center in the United States. “IntelliSpace Portal 9.0 offers a comprehensive set of robust tools so neuroradiologists can quantify disease expediently.”

While previous versions of IntelliSpace also made use of 3D rendering and 3D printing capabilities, version 9.0 refines the medical 3D printing features to their highest level to date. Using the platform’s STL export feature, clinicians can now 3D print medical models with a high level of detail and resolution that can then be used to better understand patient anatomy. The new version also introduces key updates to core applications like MR Cardiac Analysis and CT TAVI planning, as well as system enhancements.

“Radiology has a unique ability to influence and improve outcomes, and intelligent tools enable us to empower radiologists with the right information,” said Yair Briman, Senior Vice President and General Manager of Healthcare IT for Philips. “With advances in machine learning, IntelliSpace Portal 9.0 will now be able to continually learn the usage patterns of users to enhance the important daily functions of a radiologist such as pre-preprocessing of images, encouraging faster and more streamlined diagnosis.”

An important feature of IntelliSpace Portal 9.0 is its ability to be accessed from any point of the hospital network, a feature which—in tandem with its integration with PACS and hospital information systems—permits the broad and rapid sharing of information. This remote access, coupled with the system’s capacity for expansion, means medical staff can make use of the platform’s many tools no matter where they are.

Other improvements to the Philips platform introduced in version 9.0 include MR Cardiac enhancements, including Whole Heart STL export for 3D printing, and tweaks to CT Spectral applications, such as the optimization of the Spectral Diagnostic suite of clinical applications for the viewing and analysis of spectral data sets from the IQon Spectral CT scanner.



Posted in 3D Printing Technology



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