Medical Imaging

EPSRC Centre for Doctoral Training

Students

Current Projects

  • Marta Dazzi
  • Marco Fiorito

    Imaging therapy for cancer treatment: strain-induced cell death via MRI focused shear waves.

    Marco Fiorito - 2014 entry

    We propose to investigate a novel pathway to induce cell death non-invasively for cancer treatment in vitro and in vivo. We plan to induce programmed cell death (apoptosis) via focussed shear waves operating at specific frequencies and amplitudes. Our preliminary work in vitro showed that apoptosis can be triggered via mechanical shear “excitation” acting on cell surface adhesion receptors. Now, we plan to build on this data and investigate the frequency/amplitude wave spaces suitable to induce cancer cell death in vivo and how such mechanical ‘stimulation’ is translated into specific biochemical signals. Subsequently, we will employ pre-clinical murine models of human solid cancers and subject tumours to shear excitation. Using a 3T PET-MR system, apoptosis will be assessed in-vivo via ICMT11 (PET) and tumour viability via diffusion and perfusion MRI. More...

  • Christopher Bowles

    Machine Learning for Differential Diagnosis of Dementia from multi-modality MR and PET imaging

    Christopher Bowles - 2014 entry

    The aim of the PhD project is to investigate the potential of machine learning and multi-modality MR imaging and PET for differential diagnosis of dementias. The project has the following objectives: 1. To identify features from MR and PET images that can be used for differential diagnosis and early detection of dementia. 2. To develop machine learning techniques that allow the classification of subjects into different categories of dementia. 3. To implement and evaluate a decision support tool for differential diagnostics of dementia in a large number of subjects. The project will use data from publically accessible databases such as ADNI-1/2/GO and AIBL as well as data which include different types of dementia that are available both at Imperial College and KCL. The total size of the dataset available is more than 1500 patients and controls. More...

  • Isabel Ramos
  • Sam Ellis

    Multi-dataset PET/MR direct parametric image reconstruction for longitudinal studies and atlas building

    Sam Ellis - 2014 entry

    This novel project aims to tackle a hitherto unexplored possibility for image reconstruction: direct use of two or more raw PET datasets, along with simultaneous MR data, to more optimally estimate parameters of clinical and research interest. Specifically this will involve direct estimation of voxel-level averages of kinetic and/or functional parameters and their differences between two or more scans of the same subject (for longitudinal studies). Also application may be found for direct construction of PET/MR anatomical and functional atlases from multi-subject data, ideally using diffeomorphic transformations. By dealing with the raw data directly, these tasks are expected to be performed with lower statistical noise than conventional post-processing approaches. More...

  • Camila Munoz

    Multi-parametric PET-MR imaging

    Camila Munoz - 2014 entry

    The aim of this project is to develop a multi-parametric MR acquisition by varying acquisition parameters during the MR scan and combining image reconstruction with a signal model based on these parameter changes to ensure T1 and T2 weighted MR information is obtained in a highly efficient way. This technique will then be extended with advanced regularisation approaches for a combined multi-parametric PET-MR reconstruction to optimise the diagnostic information available with simultaneous PET-MR. More...

  • Esther Puyol

    Multimodal analysis of cardiac motion and deformation

    Esther Puyol - 2014 entry

    The main aim of this project is to develop a statistical atlas of normal heart shape and function from imaging and non-imaging data (e.g. patient data from the clinical record). The atlas will be based on freely available data as well as retrospective datasets held by KCL (consisting of cine/tagged MR and 2-D/3-D ultrasound). It will be used to develop novel pattern analysis tools that extract indicators able to characterize and predict pathologies such as myocardial infarction, valve diseases, hypertrophy, and hypertension. The intended workflow of the developed system would be to make use of prior knowledge from the atlas to enable robust extraction of indicators from 2D and 3D ultrasound images, enabling early screening and characterization of pathologies. The atlas would be built from data acquired from healthy subjects, and pathological cases will be learned using tailored dissimilarity metrics with respect to the atlas. More...

  • Adam Smith

    New Gallium Chelates for Imaging Apoptosis and the Mitochondria

    Adam Smith - 2014 entry

    The project aims to develop a new range of PET tracers to allow in-depth imaging of the mitochondria. It will feature the design of functionalised chelates to stabilise Ga-68 centres and facilitate an overall cationic charge following complexation. Biological evaluation of the tracers will involve a perfused, isolated heart model to allow analysis of tracer pharmacokinetics and blood-flow. The project falls squarely within the remit of the CDT, namely by developing novel tools to investigate and image an important biomedical phenomenon, as well as providing comprehensive chemistry, biology and radiochemistry training. More...

  • Samy Abo Seada

    Rebalancing MRI encoding schemes - an exploration of combined transmit and receive parallel imaging approaches

    Samy Abo Seada - 2014 entry

    The aim of this project is to develop a unified framework for MR image acquisition methods using a mixture of spatial encoding upon excitation and reception of MR signals with the aim of creating faster, more efficient imaging techniques. More...

  • Patrick Bergstrom Mann

    The use of bisphosphonates as phase transfer reagents for bioactive fluorescence and near-infrared emitting quantum dots

    Patrick Bergstrom Mann - 2014 entry

    The overall aim of the project is to prepare luminescent quantum dots with a stable surface ligand system, based on bisphosphonates, to improve their colloidal stability in vitro and in vivo and to develop them for applications in optical imaging. The system will also lend itself to multi-modal imaging applications by exploiting bisphosphonate ligands that can accommodate a radionuclide or Gd(III) centre for PET/SPECT and MR imaging respectively. This project is based on successful preliminary work by groups at Imperial College London (Chemistry), King’s College London (Pharmacy and Imaging Sciences) that has shown that biphosphonate ligands are excellent water-solubilising passivating agents. More...

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