A5054010235- Aortic aneurysm repair treatments
- Medical Image Segmentation Techniques
- Surgical Simulation and Training
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Elasticity and Material Modeling
- Anatomy and Medical Technology
- Advanced Radiotherapy Techniques
- Legionella and Acanthamoeba research
- Advanced X-ray and CT Imaging
- Aortic Disease and Treatment Approaches
- Osteoarthritis Treatment and Mechanisms
- Coronary Interventions and Diagnostics
- Intracranial Aneurysms: Treatment and Complications
- Advanced MRI Techniques and Applications
- Nuclear Physics and Applications
- Radiation Therapy and Dosimetry
- Veterinary Equine Medical Research
- Pancreatic and Hepatic Oncology Research
- Gastrointestinal Tumor Research and Treatment
- Kidney Stones and Urolithiasis Treatments
- Colorectal and Anal Carcinomas
- Brain Metastases and Treatment
- AI in cancer detection
- Machine Learning in Materials Science
Universidad Rey Juan Carlos
2021-2025
Universidad Europea
2019-2022
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine
2009-2019
Universidad Politécnica de Madrid
2007-2018
Graz University of Technology
2012
Complejo Hospitalario Universitario de Albacete
2003
We propose a fully automated methodology for hexahedral meshing of patient-specific structures the human knee obtained from magnetic resonance images, i.e. femoral/tibial cartilages and menisci. select eight patients Osteoarthritis Initiative validate our using MATLAB on laptop computer. obtain meshes in an average three minutes, while faithfully representing geometries with well-shaped elements. hope to provide fundamentally different means test hypotheses mechanisms disease progression by...
Abstract Background Proton therapy is a form of radiotherapy commonly used to treat various cancers. Due its high conformality, minor variations in patient anatomy can lead significant alterations dose distribution, making adaptation crucial. While cone‐beam computed tomography (CBCT) well‐established technique for adaptive radiation (ART), it cannot be directly proton (APT) treatments because the stopping power ratio (SPR) estimated from CBCT images. Purpose To address this limitation, Deep...
Medical imaging is considered one of the most important advances in history medicine and has become an essential part diagnosis treatment patients. Earlier prediction have been driving acquisition higher image resolutions as well fusion different modalities, raising need for sophisticated hardware software systems medical registration, storage, analysis, processing. In this scenario given new clinical pipelines huge burden hospitals, these are often required to provide both highly accurate...
Objective: We present the evolution of medical imaging software and its impact on community through study four open-source image analysis platforms: 3D Slicer, FreeSurfer, FSL, SPM. Materials methods: have studied these tools over time, measured by number scientific citations. Additionally, we also source code measuring lines tarball size stable releases changes in programming languages. Results discussion: The rising related publications confirms popularity research community, albeit some...
Articular cartilage, essential for smooth joint movement, can sustain micrometer-scale microcracks in its collagen network from low-energy impacts previously considered non-injurious. These may propagate under cyclic loading, impairing cartilage function and potentially initiating osteoarthritis (OA). Detecting analyzing is crucial understanding early damage but traditionally relies on manual analyses of second harmonic generation (SHG) images, which are labor-intensive, limit scalability,...
Accurate delineation of the rectum is high importance in off-line adaptive radiation therapy since it a major dose-limiting organ prostate cancer radiotherapy. The intensity-based deformable image registration (DIR) methods cannot create correct spatial transformation if there no correspondence between template and target images. variation rectal filling, gas, or feces, creates non intensities that becomes great obstacle for DIR.In this study authors have designed implemented semiautomatic...
Abstract Hybrid imaging modalities combine two or more medical techniques offering exciting new possibilities to image the structure, function and biochemistry of human body in far greater detail than has previously been possible improve patient diagnosis. In this context, simultaneous Positron Emission Tomography Magnetic Resonance (PET/MR) offers great complementary information, but it also poses challenges from point view hardware software compatibility. The PET signal may interfere with...
Abstract We introduce a new calibration method for dual energy CT (DECT) based on material decomposition (MD) maps, specifically iodine and water MD maps. The aim of this is to provide the first DECT experiments were carried out using general electric (GE) revolution scanner with ultra-fast kV switching used density phantom by GAMMEX evaluation. process involves several steps. First, we tested ability values reproduce Hounsfield unit (HU) single (SECT) acquisitions it was found that errors...
In the field of knee imaging, incorporation MR-based pseudo-CT synthesis holds potential to mitigate need for separate CT scans, simplifying workflows, enhancing patient comfort, and reducing radiation exposure. this work, we present a novel DL framework, grounded in development Cycle-Consistent Generative Adversarial Network (CycleGAN) method, tailored specifically images imaging surmount limitations current methods. Upon visually examining outcomes, it is evident that synthesized...
Purpose: Current radiotherapy is progressing to the concept of adaptive radiotherapy, which implies adaptation planning along treatment course. Nonrigid registration an essential image processing tool for and guided three‐dimensional (3D) nature current techniques requires a 3D quantification error that existing evaluation methods do not cover appropriately. The authors present method nonrigid algorithms’ performance, based on organ delineations, capable working with near‐spherical volumes...
In this study, we aimed to democratize access convolutional neural networks (CNN) for segmenting cartilage volumes, generating state-of-the-art results specialized, real-world applications in hospitals and research. Segmentation of cross-sectional and/or longitudinal magnetic resonance (MR) images articular facilitates both clinical management joint damage/disease fundamental Manual delineation such is a time-consuming task susceptible high intra- interoperator variability prone errors....
Although the total number of ureteroscopy interventions during past years has significantly increased, current flexible procedures still present some limitations to urologic surgeons. However, nowadays different robotic systems have been developed in order reduce those limitations. Flexible robots provide a technological alternative which combines benefits that this type offers patients, and solutions problems encountered from surgeons perspective. In paper, virtual reality training platform...
A correct patient-specific identification of the abdominal aortic aneurysm is useful for both diagnosis and treatment stages, as it locates disease represents its geometry. The actual thickness shape arterial wall intraluminal thrombus are great importance when predicting rupture aneurysms. authors describe a novel method delineating internal external contours wall, which allows distinguishing between vessel thrombus. based on active model texture statistical information. was validated with...
Adaptive radiotherapy (ART) requires precise tissue characterization to optimize treatment plans and enhance the efficacy of radiation delivery while minimizing exposure organs at risk. Traditional imaging techniques such as cone beam computed tomography (CBCT) used in ART settings often lack resolution detail necessary for accurate dosimetry, especially proton therapy.