A5084515307- Surgical Simulation and Training
- Radiomics and Machine Learning in Medical Imaging
- Reconstructive Surgery and Microvascular Techniques
- Augmented Reality Applications
- 3D Shape Modeling and Analysis
- Virtual Reality Applications and Impacts
- Cardiovascular Disease and Adiposity
- Medical Imaging Techniques and Applications
Champalimaud Foundation
2023-2025
Instituto Politécnico de Lisboa
2023
University of Lisbon
2023
Introduction: Augmented reality (AR) has demonstrated a potentially wide range of benefits and educational applications in the virtual health ecosystem. The concept real-time data acquisition, machine learning-aided processing, visualization is foreseen ambition to leverage AR healthcare sector. This breakthrough with immersive technologies like AR, mixed reality, or extended will hopefully initiate new surgical era: that use so-called metaverse. Methods: paper focuses on future breast...
Breast cancer, the most common cancer type among women worldwide, requires early detection and accurate diagnosis for improved treatment outcomes. Segmenting fat fibroglandular tissue (FGT) in magnetic resonance imaging (MRI) is essential creating volumetric models, enhancing surgical workflow, improving clinical Manual segmentation time-consuming subjective, prompting development of automated deep-learning algorithms to perform this task. However, configuring these 3D medical images...
Abstract Deep inferior epigastric artery perforator flap reconstruction is a common technique for breast surgery in cancer patients. Preoperative planning typically depends on radiological reports and 2D images to help surgeons locate abdominal vessels before surgery. Here, BREAST+, an augmented reality interface the HoloLens 2, designed facilitate accurate marking of locations patients' skin seamlessly access relevant clinical data operating room proposed. The system evaluated controlled...
Deep inferior epigastric artery perforator (DIEAP) flap reconstruction surgeries can potentially benefit from augmented reality (AR) in the context of surgery planning and outcomes improvement. Although three-dimensional (3D) models help visualize map perforators, anchorage to patient's body during does not consider eventual skin deformation moment computed tomography angiography (CTA) data acquisition until position patient while surgery. In this work, we compared 3D registration supine...