Projects
Artificial Intelligence for medical image analysis : application to functional ultrasound imaging KU Leuven
functional UltraSound imaging (fUSi) is a technology developed in our laboratory (Urban et al., 2015; Macé et al., 2018) allowing real-time visualization of brain activity with a high spatiotemporal resolution (100µm3 voxel size, 100ms). It has been widely validated in preclinical research but fUSi is currently limited to imaging of a small part of rodent’s brain. To extend fUSi capabilities, we recently developed 3D-fUSi for volumetric ...
Multi-modal image analysis for selective internal radiation therapy dosimetry KU Leuven
The role of external beam radiation therapy in liver cancer management remains restricted because of poor tolerance of normal liver parenchyma to radiation. One solution is to follow the Paul Ehrlich (1854-1915) proposal, “we must learn to shoot microbes with magic bullets'”, to develop a radionuclide magic bullet to maximize the tumor irradiation while sparing healthy liver parenchyma as much as possible. The liver has an dual blood flow ...
Integrated image processing and electro-anatomical mapping to assess arrhythmogenicity of the infarct border zone KU Leuven
Ischemic heart disease and specifically myocardial infarction (MI) causes regional damage (scarring) to the heart and is responsible for up to 75-80% of sudden cardiac death (SCD). The common therapy to reduce SCD is an implantable cardioverter defibrillators (ICD). In primary prevention, the main quantitative criterion for ICD implantation remains left ventricular ejection fraction (LVEF). This parameter has poor accuracy to predict ...
Image Reconstruction and Analysis for Positron Emission Tomography in Oncology KU Leuven
Deep Learning image processing for crop management KU Leuven
Deep learning (DL) is a subfield of machine learning where algorithms are modeled to imitate human rationale. Among DL most important application areas are computer vision and natural language processing, impacting our everyday life when we access our phone through facial recognition authorization, interact with a company’s chatbot, or get support from a virtual assistant like Alexa. Two turning points in the technology era explain DL current ...
RCN - 301459 - Neutron/gamma-ray imaging for real-time verifiaction and image guidance for particle therapy. KU Leuven
Our primary objective is the develomment of a single volume scatter camera (SVSC) based on densely stacked arrays of optically segmented organic scintillators that will be used for simultaneous and efficient imaging of neutrons and PGs for the purposes of high resolution in-vivo range (1-2 mm) and dose verification in particle therapy.
Next-generation pathology by MILAN: multiplex immunohistochemistry and advanced trainable image analysis KU Leuven
Analysis of multispectral brain images in the presence of pathology. KU Leuven
Brain tumor lesions, MS white matter lesions and ischemic stroke lesions are all similar in the sense that they appear in MR images as a collection of spatially coherent voxels that are hyper-intense, hypo-intense or a combination of these with respect to the healthy tissue. Moreover, these lesions evolve relatively smoothly over time.
This work presents a collection of methods that tackle the problems of single-temporal ...
Combining anatomical and spectral information to enhance MRSI resolution and quantification KU Leuven
Multiple sclerosis is a progressive autoimmune disease that affects young adults. Magnetic resonance (MR) imaging has become an integral part in monitoring multiple sclerosis disease. Conventional MR imaging sequences such as fluid attenuated inversion recovery imaging have high spatial resolution, and can visualise the presence of focal white matter brain lesions in multiple sclerosis disease. Manual delineation of these lesions on ...