Automated Detection of Pulmonary Embolism Using CT and Perfusion Spectral Images

Gökalp Tulum | Onur Osman

This research endeavors to automate the detection of pulmonary embolism in lung perfusion scintigraphy images using image processing and artificial intelligence methods, aiming to assess embolism levels through localization and various statistical calculations. The study utilizes CT and perfusion images from 37 individuals, with 20 diagnosed with pulmonary embolism and 17 classified as normal. Employing a threshold of −150 HU (Hounsfield Unit) and morphological operations, including opening and closing with a 5-voxel disc-shaped structuring element, the lungs are segmented to remove air and bl ...Daha fazlası