Detection of metastatic lymph nodes with multiparametric PET/MR in head and neck imaging

Detection of lymph node involvement has a significant negative impact on the treatment outcome for patients with head and neck squamous-cell carcinomas (SCC). Metastatic lymph nodes can be detected with high sensitivity by 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET). However, 18F-FDG uptake is not only increased in...

Application and Development of Quantitative Magnetic Resonance Imaging: High-Resolution QMRI in an Elderly Cohort and End-to-End Quantitative Susceptibility Mapping with Deep-Learning

We present application and developments of qMRI. We reconstructed data from the Prediva Ouderen Extentie (POE) database and calculated quantitative maps. The POE database consists of 29 7 Tesla (T) whole-brain MRI scans, including both male and female participants covering the age group between 80 and 91 years old. We used this data to extend...

DisQ: Disentangling Quantitative MRI Mapping of the Heart

Quantitative MRI (qMRI) of the heart has become an important clinical tool for examining myocardial tissue properties. Because heart is a moving object, it is usually imaged with electrocardiogram and respiratory gating during acquisition, to “freeze” its motion. In reality, gating is more-often-than-not imperfect given the heart rate...

An Efficient Method for Multi-Parameter Mapping in Quantitative MRI Using B-Spline Interpolation

Quantitative MRI methods that estimate multiple physical parameters simultaneously often require the fitting of a computational complex signal model defined through the Bloch equations. Repeated Bloch simulations can be avoided by matching the measured signal with a precomputed signal dictionary on a discrete parameter grid (i.e. lookup table...