A5047408026- Medical Imaging Techniques and Applications
- Radiation Detection and Scintillator Technologies
- Advanced MRI Techniques and Applications
- Advanced X-ray and CT Imaging
- Radiomics and Machine Learning in Medical Imaging
- Digital Radiography and Breast Imaging
- Advanced Radiotherapy Techniques
- Radiation Dose and Imaging
- Cardiac Imaging and Diagnostics
- Radiation Therapy and Dosimetry
- Nuclear Physics and Applications
- Particle Detector Development and Performance
- AI in cancer detection
- Archaeological and Historical Studies
- MRI in cancer diagnosis
- Cancer, Stress, Anesthesia, and Immune Response
- Spectroscopy Techniques in Biomedical and Chemical Research
- Archaeological and Geological Studies
- Public Health in Brazil
- Atomic and Subatomic Physics Research
- Radioactivity and Radon Measurements
- Effects of Radiation Exposure
- Archaeology and Cultural Heritage
- Cardiac, Anesthesia and Surgical Outcomes
- Radiopharmaceutical Chemistry and Applications
University of Lisbon
2012-2024
St James's University Hospital
2019-2020
University of Leeds
2019-2020
University of Aveiro
2018
Hospital de Santa Cruz
2013
Centro Hospitalar de Lisboa Ocidental
2013
Hospital de Egas Moniz
2013
LIP - Laboratory of Instrumentation and Experimental Particle Physics
2009
University of California, Berkeley
2007
Universidad Autónoma de Madrid
2007
Surveillance operations include inspecting and monitoring river boundaries, bridges coastlines. An autonomous unmanned aerial vehicle (UAV) can decrease the operational costs, expedite process be used in situations where a manned inspection is not possible. This paper addresses problem of searching mapping such littoral boundaries using an UAV based on visual feedback. Specifically, this describes exploration system that equips fixed wing to autonomously search given area for specified...
The design and evaluation of the imaging system Clear-PEM for positron emission mammography, under development by PEM Consortium within framework Crystal Clear Collaboration at CERN, is presented. proposed apparatus based on fast, segmented, high atomic number radiation sensors with depth-of-interaction measurement capabilities, state-of-the-art data acquisition techniques. camera consists two compact planar detector heads dimensions 16.5/spl times/14.5 cm/sup 2/ breast axilla imaging....
We evaluate the integration of 3D preoperative computed tomography angiography coronary arteries with intraoperative 2D X-ray angiographies by a recently proposed novel registration-by-regression method. The method relates image features projection images to transformation parameters image. compared different sets and studied influence preprocessing training set. For registration evaluation, gold standard was developed from eight sequences six patients. alignment quality measured using mean...
Introduction. Glomerular filtration rate (GFR) is considered the best index of kidney function. The Modification Diet in Renal Disease (MDRD)-Study equation has gained worldwide acceptance for estimating GFR from serum creatinine. Recently Chronic Kidney Epidemiology Collaboration (CKD-EPI) group developed a new that claims to be more accurate and could replace MDRD routine clinical use. Nuclear medicine methods are accepted as accurate, have become regular practice provided they easily...
Microcalcification clusters (MCs) are among the most important biomarkers for breast cancer, especially in cases of nonpalpable lesions. The vast majority deep learning studies on digital tomosynthesis (DBT) focused detecting and classifying lesions, soft-tissue small regions interest previously selected. Only about 25% specific to MCs, all them based classification preselected regions. Classifying whole image according presence or absence MCs is a difficult task due size information present...
Positron emission mammography (PEM) can offer a non-invasive method for the diagnosis of breast cancer. Metabolic images from PEM using 18F-fluoro-deoxy-glucose, contain unique information not available conventional morphologic imaging techniques like X-ray radiography. In this work, concept Clear-PEM, system presently developed in frame Crystal Clear Collaboration at CERN, is described. Clear-PEM will be dedicated scanner, offering better perspectives terms position resolution and detection...
Purpose: Compressed sensing (CS) is a new approach in medical imaging which allows sparse image to be reconstructed from undersampled data. Total variation (TV) based minimization algorithms are the one CS technique that has achieved great success due its virtue of preserving edges while reducing noise. The purpose this work implement and evaluate performance TV filter able increase signal difference noise ratio (SDNR) digital breast tomosynthesis (DBT) images. Methods: Assuming Poisson...
The design and evaluation of the imaging system Clear-PEM for positron emission mammography, under development by PEM Consortium within framework Crystal Clear Collaboration at CERN, is presented. proposed apparatus based on fast, segmented, high atomic number radiation sensors with depth-of-interaction measurement capabilities state-of-the-art data acquisition techniques. camera consists two compact planar detector heads adequate field-of-view dimensions breast axilla imaging. Low-noise...
A dedicated implementation of list-mode maximum-likelihood expectation-maximization (MLEM) reconstruction for the ClearPEM system is presented. The composed two face-to-face detectors, which can be rotated to acquire data from different angular positions. Due specific design with irregular sampling and depth interaction capability, possible number lines response (LOR) significantly greater than detected events in a standard clinical study. Because methods based on histogramming sinogram lead...
In this paper, a Maximum Posteriori Reconstruction algorithm is applied for the first time to Siemens 3TMR BrainPET scanner. The implementation of done in PET REconstruction Software TOolkit. This software able cope with 3D listmode data and can deal specificities Simulated was used assess performance algorithm. Several priori distributions were tested results are compared OSEM reconstruction. Simultaneously acquired MR human patient show feasibility promising expected improve clinical applications.