Development of digital phantoms based on a finite element model to simulate low-attenuation areas in CT imaging for pulmonary emphysema quantification.
Stefano DiciottiAlessandro NobisStefano CiulliNicholas LandiniMario MascalchiNicola SverzellatiBernardo InnocentiPublished in: International journal of computer assisted radiology and surgery (2016)
Our model is able to mimic the cluster size distribution of LAA on CT imaging of subjects with pulmonary emphysema. The model could be useful to generate standard test images and to design physical phantoms of LAA images for the assessment of the accuracy of indexes for the radiologic quantitation of emphysema.
Keyphrases
- chronic obstructive pulmonary disease
- high resolution
- computed tomography
- lung function
- deep learning
- pulmonary hypertension
- convolutional neural network
- idiopathic pulmonary fibrosis
- mass spectrometry
- physical activity
- ms ms
- dual energy
- mental health
- magnetic resonance imaging
- pulmonary fibrosis
- cystic fibrosis
- positron emission tomography
- magnetic resonance
- photodynamic therapy