PD Habib ZAIDI, Ph.D
Abstract. Recent innovations in biomedical imaging research make extensive use of computerized mathematical modelling tools which play an increasingly decisive role within the healthcare technology sector. To understand, visualize or interact with complex anatomical structures and physical and biochemical processes and optimize imaging instrumentation design aspects and data collection protocols, it is necessary to create models that represent these systems. Research in this area is thus aimed at developing models that exhibit sufficient mathematical and physical rigor to capture realism, and which can also support imaging systems design and modelling of patient data.
talk reflects the tremendous increase in interest in standalone (SPECT and PET)
and dual-modality (PET/CT and PET/MR) molecular imaging as both clinical and
research imaging modalities in the past decade. It offers an overview of
imaging physics with special emphasis on recent progress made in instrumentation design and integration
of multimodality imaging in patient diagnosis and therapy planning. The
widespread availability of high performance computing and popularity of
A detailed description of Monte Carlo modelling of medical imaging systems, the functionality of computer codes widely used and development of anthropomorphic mathematical and voxel-based phantoms will be provided together with practical applications of the Monte Carlo method in a clinical and research environment.