Web-based interface that provides advanced image processing and analytical tools for use in the treatment of cerebral aneurysms.
- Leverages large amounts of data and processing power in the cloud to deliver advanced software techniques in diagnosis.
- Facilitate the simulation of a wide range of clinical scenarios for more efficient planning of patient treatments.
Each year 30,000 people in the United States experience a ruptured cerebral aneurysm. About 60-70% of patients survive, but with permanent neurological deficits for half of these cases. One of the treatments for cerebral aneurysms uses implanted endovascular devices (commonly known as flow diverters) specifically designed to cause aneurysm thrombosis and regression in order to prevent rupture. The selection of the device size becomes a challenge in order to balance adequate coverage of the diseased portion of the vessel, while using the shortest device possible to facilitate ease of deployment. An incorrectly sized device results not only in medical waste and higher costs, but also in increased difficulties of deployment and higher risk of complications for the patient. Currently, selection of the device remains a ‘clinical guess’ of vessel diameter and clinical length. An accurate means for the estimation of the device deployed shape available prior to or during the surgery would be a valuable clinical tool.
Emory researchers have developed AngioCloud, a web portal that leverages large amounts of data and processing power in remote server farms to provide advanced software techniques for the diagnosis and treatment analysis in a time-effective manner. Images generated from rotational angiography (RA), computed tomography (CT) and magnetic resonance (MR) provide vast amounts of information on the 3-D morphology of the in vivo vasculature. Unfortunately, the images contain a large amount of data which can be difficult to process. By using software will runs in the cloud, the images can be analyzed by physicians more quickly, accurately, and efficiently using AngioCloud. In addition to stent selection for treatment of aneurysm, this web-based platform has the potential to support a variety of surgeries and planning. This software may complement and enhance the experience of the physician and patient.
Software has been developed and validated.
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