Experimental results from a proof-of-concept method for accurate volumetric estimation of hematoma in asymmetrically formed objects comprising solid materials as impediments.

Hemorrhage, also known as internal bleeding, is a potentially fatal disorder requiring immediate medical attention based mainly on its seriousness. Medical imaging can qualitatively identify the extent of hemorrhage, but it is usually complicated to measure the amount of posthemorrhagic blood deposited inside the organs. Based on an imaging dataset, this study focuses on estimating blood volume with precision. A proof-of-concept (POC) phase has been designed for it. In Digital Imaging and Communications in Medicine (DICOM) format, images of liquid-filled vessels with irregular forms and hard, solid impediments inside them were obtained from computed tomography (CT) scans. These containers store various concentrations of aqueous iodine solution for our contrast CT scans. The estimated results of two novel volume quantification using slicing approaches and algorithms with minimum user input were designed, and they were contrasted with measurements of the liquid present.