Cloud-Based Image Analysis and Detection Solution Revealed

A new cloud-based image analysis technology has been demonstrated at the Radiological Society of North America Annual Meeting (RSNA) 2014.

The software platform can handle big-data image analysis and offers radiologists cloud-based interpretation of DICOM-compatible studies directly from the PACS or modality. The first version will initially support only CT scans from Abdomen CT, Head/Neck CT, and Checst CT scan modules. Later versions should also support MRI, ultrasound and X-ray studies.

The AlphaPoint cloud solution combines all scans of a study, from different vendors and prepares detection and findings for incorporation into an HL7-compatible or other reporting system. The AlphaPoint image analysis algorithm uses automatic image analysis and scans for major findings. Preliminary findings for each case take only several minutes allowing the radiologist to focus on diagnosis and reporting. The software will also identify related findings irrespective of the radiologist or technologist’s markings, or whether a contrast medium was used.

AlphaPoint has been developed by RADLogics (Milpitas, CA, USA) and product launch is planned for early 2015. According to Dr. I. Qureshi, chief of Radiology, El Camino Hospital, Mountain View (CA, USA), “In over 200 sequential Chest CT cases, the software correctly detected all of the nodules identified by the radiologist, plus 73 undetected nodules. The software also highlighted significant variability in 52 nodule measurements, and correctly characterized the nodule. Adding automated detection and characterization with such a high degree of sensitivity and consistency will give our radiologists better quality information and allow them to focus more time on their diagnoses.”

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