Group creates 3D printed heart with CT, echo data June 29, 2015 -- In what they are calling a major advance, researchers from Michigan have created a 3D model of a human heart using data from two separate cardiac imaging techniques: CT and echocardiography. They believe that such hybrid 3D models will be more accurate than those created from just one imaging modality.
CT lung CAD may require adjustment from radiologists June 26, 2015 -- Computer-aided detection (CAD) for CT lung exams will be essential in the coming era of population-based lung cancer screening. But radiologists may have to change their way of reading studies to reap its benefits, according to a recent talk by Dr. Geoffrey Rubin from Duke University.
OCT tool offers fast intraoperative brain tumor imaging June 19, 2015 -- A new brain tumor imaging technique based on optical coherence tomography (OTC) may offers surgeons a highly accurate way to visualize -- and ultimately resect -- malignant tumors during surgery, according to a report from Johns Hopkins University.
New CAD app generates radiology reports June 5, 2015 -- Researchers from Oregon have developed a novel computer-aided detection (CAD) application for radiology reports -- one that churns out differential diagnoses, accurately drawing correlations between imaging findings and potential disease states, according to a presentation at the Society for Imaging Informatics in Medicine meeting.
New high-res 3D MRI map aids surgeons June 4, 2015 -- Researchers at Duke University have created an ultrahigh-resolution 3D MRI map of the human brainstem, intended to help surgeons use deep brain stimulation to treat patients.
SIIM 2015: Data Fish catches image samples for research May 28, 2015 -- NATIONAL HARBOR, MD - A new data-mining algorithm goes beyond the capabilities of most software applications to unearth subtle imaging findings in vast PACS databases, and could be beneficial for research applications, according to a presentation on Thursday at the Society for Imaging Informatics in Medicine (SIIM) 2015 annual meeting.
Autosegmentation algorithm tackles array of brain tumors May 22, 2015 -- A new algorithm for automatically segmenting image data delivers fast and reproducible volumes of a wide variety of tumors, satisfying a significant unmet need in neuro-oncology, according to a new study in Academic Radiology. A panel of readers gave the algorithm high marks for how well it approximated manual data segmentation methods.
Israeli start-up eyes big-data tools for imaging analysis May 14, 2015 -- For Israeli image analysis software developer Zebra Medical Vision, size definitely matters. The start-up believes its database of 10 million curated imaging studies and extensive collaborations with researchers around the world will take image analysis algorithms to a whole new level.
New CT-based liver segmentation tool proves fast and accurate May 6, 2015 -- Liver segmentation, used to obtain liver volumes when planning for major interventions, can be automated without loss of accuracy compared to manual measurements, cutting procedure time by more than half, according to a new study in Academic Radiology.
LevelCheck algorithm targets wrong-site spinal surgery April 23, 2015 -- A new algorithm called LevelCheck -- designed to prevent wrong-site spinal surgery -- boasted near-perfect accuracy in a trial by Johns Hopkins University researchers. By matching preoperative CT scans to intraoperative radiographs, LevelCheck confirms for surgeons that they are targeting the correct vertebral level.