Image: The IntelliSpace Portal 9.0 includes the NeuroQuant application for objective quantification of brain atrophy (Photo courtesy of Royal Philips).
A medical imaging systems company has showcased new multi-modality functionality and expanded neurological tools for its advanced visual analysis and quantification platform.
The analysis platform can now be used for neurological diagnosis to track and compare brain images and disease progression in patients, and features machine learning to improve the clinician workflow, and improved 3-D printing options.
Royal Philips (Amsterdam, the Netherlands) announced the IntelliSpace Portal 9.0 at the annual Radiological Society of North America Annual Meeting (RSNA2016) meeting. IntelliSpace Portal 9.0 includes new machine learning capabilities and can help radiologists detect, diagnose and follow the progression of patients with brain injuries, stroke, dementia, Multiple Sclerosis (MS) and Amyotrophic Lateral Sclerosis (ALS).
The platform includes CT Brain Perfusion, and MR T2 Perfusion enhancements, the Longitudinal Brain Imaging (LoBI)1 application for neuro reading, and the CorTech Labs (San Diego, CA, USA) NeuroQuant measurement application for the quantification of brain volume loss.
IntelliSpace Portal 9.0 applications can be accessed from anywhere in the hospital network, and can integrate with Picture Archive and Communications Systems (PACS), and Hospital Information Systems (HIS) for information sharing and collaboration.
Senior VP and GM of Philips Healthcare IT, Yair Briman, said, "Radiology has a unique ability to influence and improve outcomes, and intelligent tools enable us to empower radiologists with the right information. 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."