Open AccessComputer Assisted System for Detecting Pulmonary Embolism in Lungs
Author(s) -
M. Sucharitha,
P. H. V. Sesha Talpa Sai,
Ms. M. L. R. Chaitanya Lahari,
Ms. P. Haseena Bee
Publication year - 2021
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d6584.1110421
Subject(s) - pulmonary embolism , medicine , arterial tree , pulmonary embolus , embolus , pulmonary artery , contrast (vision) , radiology , feature (linguistics) , cardiology , artificial intelligence , computer science , linguistics , philosophy
A pulmonary embolism (PE) occurs when a blood artery in the lungs becomes suddenly blocked, generally owing to a blood clot. PE is a frequent life-threatening illness that should be diagnosed as soon as possible. A novel approach for automatically detecting PE in contrast-enhanced CT images is suggested in this research. To identify PE, computerized tomography (CT) is the main test to capture images. It is quick test, incursive with good quality images, enhanced contrast and multi-sliced images can be obtained. Candidate identification, feature calculation, and classification are all part of the system. The major aims of candidate detection are to include PE with even entire occlusions and to eliminate erroneous diagnosis of tissue and parenchymal disorders. When calculating characteristics, the location and structure of the pulmonary vascular tree, as well as the severity, form, and size of an embolus, are all taken into consideration. The ability of the CAD tool to identify emboli in the sectional and sub sectional pulmonary Arterial Tree (PAT) was examined.