Motility Analysis of Diaphragm in Patients with Chronic Pulmonary Lung Disease Based on Computed Tomography Technique

The diaphragm plays a crucial role in respiration, and dysfunction is common COPD, contributing to worsening symptoms higher mortality rates. Many methods have been implemented evaluate the function of diaphragm, but each comes with its unique set limitations. To overcome this challenge, novel approach was introduced assess patients chronic obstructive pulmonary disease (COPD) using thoracic computed tomography scans. This involves generating simulation from lung DICOM slice images calculating dynamic change respiratory motion by quantifying difference simulated mesh area during inhalation exhalation. experimental design incorporates various image processing algorithms, computational geometry surface fitting algorithm optimized minimize potential sources error. When proposed technique applied detect diaphragmatic results Pearson correlation analysis showed strong relationship between variables ratio exhalation average z-value surfaces, coefficient 0.731. suggest that highly accurate beneficial scenarios where essential, such as disorders, neuromuscular diseases like Amyotrophic Lateral Sclerosis or muscular dystrophy, spinal cord injuries, conditions sleep apnea. By providing specific numerical data on sensitivity specificity, offers quantitative evaluation effectiveness detecting COPD. In conclusion, currently semi-automated, however, future study may investigate fully automated approaches technique.