Abstract:
Excessive bleeding (hemorrhage) is a life-threatening condition and warrants emergency medical care depending on the severity. Although medical imaging can detect the sev...Show MoreMetadata
Abstract:
Excessive bleeding (hemorrhage) is a life-threatening condition and warrants emergency medical care depending on the severity. Although medical imaging can detect the severity of bleeding qualitatively, it is often challenging to quantify posthemorrhagic blood stored in the organ. This study aims to quantify blood volume based on an imaging dataset accurately. For the proof-of-concept (POC) phase, we procured the computed tomography (CT) scan images of liquid-filled containers having varying asymmetrical shapes and solid objects inside them, in the form of Digital Imaging and Communications in Medicine (DICOM) images. These containers contained different amounts of aqueous iodine solution, which provided us with contrast CT scans. Two algorithms based on minimal user input thresholding and slicing technique for volume quantification were conceptualized, and the estimated findings were compared to the measured liquid volume.
Published in: 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)
Date of Conference: 09-10 December 2021
Date Added to IEEE Xplore: 11 February 2022
ISBN Information: