Dear Advanced Visualization Insider,
A potpourri of advanced visualization articles await in this issue of your Advanced Visualization Insider.
As part of our continuing coverage of the European Congress of Radiology (ECR), you can learn how researchers from the University Hospital Erlangen in Germany found a software tool could provide automated detection and segmentation of the spleen on CT scans of malignant lymphoma patients. Not only did the technique yield measurements that correlate quite well with other volumetry techniques, it was also faster and reader-independent.
Also, a decision-support algorithm developed by a team from the University Hospital Jena, Germany, may be useful for classifying breast MR lesions. While it's currently available only in the form of a paper-based manual decision tree, the researchers believe the method could ultimately be automated or employed with existing tools such as computer-aided detection (CAD). You can find out more here.
When used as a preliminary reader in screening mammography, CAD software may be able to reduce radiologists' workload by nearly half, according to an article by staff writer Rebekah Moan.
A coalition of scientific partners from the European Union and the U.S. is also reporting the successful conclusion of the HAMAM (Highly Accurate Breast Cancer Diagnosis through Integration of Biological Knowledge, Novel Imaging Modalities, and Modeling) project. Coordinated by the European Institute for Biomedical Imaging Research (EIBIR), the initiative aimed to develop a prototype clinical workstation that combined the technologies and information required to develop a clinical workstation to characterize and classify suspicious breast tissue from multiple imaging modalities. Get the details here.
In other articles, our partner Medicalphysicsweb has contributed a story on Dutch research that found a CAD system based on multiparametric analysis could aid in the identification of high-grade tumors. You can get the story by clicking here.
Be sure to check back regularly for continuing coverage of advanced visualization news in your Advanced Visualization Digital Community.
