Habib Zaidi
Group name: PET Instrumentation and Neurosciences Laboratory (PinLab)
Affiliations: Faculty of Medicine, Geneva University Hospitals, Department of Radiology and Medical Informatics
Domains: Development and Plasticity
Keywords: brain imaging, brain networks, technique development
Research activities
Our objective is to develop image reconstruction techniques, modeling/simulation tools and accurate attenuation and scatter correction techniques for Positron Emission Tomography (PET) and Single-Photon Emission Computed Tomography (SPECT), as well as the assessment of new possible designs of PET detection modules using sophisticated Monte Carlo techniques. We are particularly interested in improving the quality and quantitative accuracy of nuclear medicine images, and statistical analysis of different reconstruction algorithms and attenuation and scatter correction techniques. We are particularly interested in developing brain imaging protocols using nuclear medicine technology to study brain function and to apply multivariate statistics to brain images to study the neurofunctional networks underlying cognitive performance. More recently, the lab has been involved in the development of detector modules and novel designs for dedicated high-resolution PET cameras in collaboration with CERN and other research institutions.
Latest publications
Deep Learning-Based CT-Less Cardiac Segmentation of PET Images: A Robust Methodology for Multi-Tracer Nuclear Cardiovascular Imaging.
Deep learning-based triple-tracer brain PET scanning in a single session: A simulation study using clinical data.
Automated pulmonary nodule classification from low-dose CT images using ERBNet: an ensemble learning approach.
Targeted radioligand therapy: physics and biology, internal dosimetry and other practical aspects during Lu/Ac treatment in neuroendocrine tumors and metastatic prostate cancer.
Contact
Département de radiologie et informatique médicale
HUG
Email: Habib.Zaidi@hcuge.ch