Already saving patients' lives, the project has examined more than 15 million images from thousands of patients since the project began in early July. It uses technology that combines advanced imaging with analytics to highlight likely aneurysms for faster detection. This helps radiologists identify them before they result in brain haemorrhage or neurological damage. In the future, Mayo Clinic expects to use the same approach for other radiology detection tests such as the diagnosis of cancer or vessel anomalies in other parts of the body.
"This fully automatic scheme is significant in helping radiologists detect aneurysms in magnetic resonance angiography exams", stated Mayo radiologist Bradley Erickson, M.D., senior author of the study and co-director of the Medical Imaging Informatics Innovation Center at Mayo Clinic.
One out of 50 people in the United States has an unruptured brain aneurysm - an abnormal outward bulging in the blood vessels in the brain - and about 40 percent of all people who have a ruptured brain aneurysm will die as a result.
Traditionally, a patient suspected of having a brain aneurysm due to a stroke, traumatic injury or family history would undergo an invasive test using a catheter that injects dye into the body, a technique with risks of neurologic complications. To improve the process of detection using non-invasive magnetic resonance angiography imaging technology, Mayo Clinic and IBM worked to create so-called "automatic reads" that run detection algorithms immediately following a scan.
Once images are acquired, they are automatically routed to servers in the Mayo and IBM Medical Imaging Informatics Innovation Center located on the Mayo campus in Rochester, a collaborative research facility that combines advanced computing and image processing to provide faster, more accurate image analysis. There algorithms align and analyze images to locate and mark potential aneurysms - even very small ones less than 5mm - so specially trained radiologists can conduct a further and final analysis.
From the time an image is taken to the time it is ready to be read by a radiologist, there often is only a 10-minute window. In that 10 minutes, the new work flow is able to identify images coming off of the scanners and route those related to the head and brain through the special work flow which then conducts automated aneurysm detection. On average, this can be done in three to five minutes, improving efficiency and saving valuable radiologist's time, leading to a quicker diagnosis which is especially important in the case of a serious aneurysm.
"Our joint work with Mayo Clinic on this project taps IBM's deep expertise in high performance computing and applies it to health analytics, enabling us to remove some of the time and efficiency barriers and making imaging an even more valuable preventative screening tool. Enabling broad access to this capability via Cloud delivery is the natural next step", stated Bill Rapp, IBM's CTO of Healthcare and Life Sciences and co-director of the Medical Imaging Informatics Innovation Center.
The aneurysm detection system uses an algorithm developed by Mayo researchers that is executed on IBM WebSphere Process Server to model and orchestrate the automated work flow. Images are stored on IBM DB2 for Linux and Windows data service and work flow logic is run on IBM System x servers and IBM storage.
For more than 100 years, millions of people from all walks of life have found answers at Mayo Clinic. These patients tell us they leave Mayo Clinic with peace of mind knowing they received care from the world's leading experts. Mayo Clinic is the first and largest integrated, not-for-profit group practice in the world. At Mayo Clinic, a team of specialists is assembled to take the time to listen, understand and care for patients' health issues and concerns.
These teams draw from more than 3700 physicians and scientists and 50.100 allied staff that work at Mayo Clinic's campuses in Minnesota, Florida, and Arizona; and community-based providers in more than 70 locations in southern Minnesota, western Wisconsin and northeast Iowa. These locations treat more than half a million people each year. To best serve patients, Mayo Clinic works with many insurance companies, does not require a physician referral in most cases and is an in-network provider for millions of people.
More IBM news is available in the VMW January 2010 article University of Pittsburgh's McGowan Institute receives IBM Shared University Research Award.