Automatic lung segmentation in functional SPECT images using active shape models trained on reference lung shapes from CT

摘要

ObjectiveImage segmentation is an essential step in quantifying the extent of reduced or absent lung function. The aim of this study is to develop and validate a new tool for automatic segmentation of lungs in ventilation and perfusion SPECT images and compare automatic and manual SPECT lung segmentations with reference computed tomography (CT) volumes.