A whole-body FDG PET/MR atlas for multiparametric voxel-based analysis.
Therese SjöholmSimon EkströmRobin StrandHåkan AhlströmLars LindFilip MalmbergJoel KullbergPublished in: Scientific reports (2019)
Quantitative multiparametric imaging is a potential key application for Positron Emission Tomography/Magnetic Resonance (PET/MR) hybrid imaging. To enable objective and automatic voxel-based multiparametric analysis in whole-body applications, the purpose of this study was to develop a multimodality whole-body atlas of functional 18F-fluorodeoxyglucose (FDG) PET and anatomical fat-water MR data of adults. Image registration was used to transform PET/MR images of healthy control subjects into male and female reference spaces, producing a fat-water MR, local tissue volume and FDG PET whole-body normal atlas consisting of 12 male (66.6 ± 6.3 years) and 15 female (69.5 ± 3.6 years) subjects. Manual segmentations of tissues and organs in the male and female reference spaces confirmed that the atlas contained adequate physiological and anatomical values. The atlas was applied in two anomaly detection tasks as proof of concept. The first task automatically detected anomalies in two subjects with suspected malignant disease using FDG data. The second task successfully detected abnormal liver fat infiltration in one subject using fat fraction data.
Keyphrases
- positron emission tomography
- computed tomography
- pet ct
- magnetic resonance
- contrast enhanced
- pet imaging
- single cell
- adipose tissue
- high resolution
- deep learning
- electronic health record
- magnetic resonance imaging
- big data
- fatty acid
- machine learning
- pulmonary embolism
- data analysis
- risk assessment
- artificial intelligence
- convolutional neural network
- working memory
- mass spectrometry
- optical coherence tomography
- quantum dots