Automatically measuring brain ventricular volume within PACS using artificial intelligence.

ABSTRACT: The picture archiving and communications system (PACS) is currently the standard platform to manage medical images but lacks analytical capabilities. Staying within PACS, the authors have developed an automatic method to retrieve the medical data and access it at a voxel level, decrypted and uncompressed that allows analytical capabilities while not perturbing the system's daily operation. Additionally, the strategy is secure and vendor independent. Cerebral ventricular volume is important for the diagnosis and treatment of many neurological disorders. A significant change in ventricular volume is readily recognized, but subtle changes, especially over longer periods of time, may be difficult to discern. Clinical imaging protocols and parameters are often varied making it difficult to use

SUBMITTER: Yepes-Calderon F 

PROVIDER: S-EPMC5854260 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature