Verification with gated and with ungated sequences as well. Validation against manually obtained data. Goals Develop a methodology for longitudinal and cross-sectional IVUS segmentation. Methods I, AI Usage of combined information from longitudinal and cross-sectional images to achieve reliable segmentation overall. In 10 IVUS sequences, validate against manually traced contours in selected longitudinal and cross-sectional images, at least 50 frames and 20 longitudinal images, randomly selected.
Goals Develop a methodology for segmentation of lung lobes.
In 5 volumetric lung data sets, calculate rms border positioning errors and volume errors.