A5017764053- Anatomy and Medical Technology
- Medical Imaging and Analysis
- Medical Image Segmentation Techniques
- Orthopaedic implants and arthroplasty
- Hip disorders and treatments
- Elasticity and Material Modeling
- Social Sciences and Governance
- Medical Imaging Techniques and Applications
- Maternal Mental Health During Pregnancy and Postpartum
- Muscle activation and electromyography studies
- Innovative Approaches in Technology and Social Development
- Pelvic and Acetabular Injuries
- Advanced MRI Techniques and Applications
- 3D Shape Modeling and Analysis
- Musculoskeletal pain and rehabilitation
- French Urban and Social Studies
- Radiomics and Machine Learning in Medical Imaging
- Surgical Simulation and Training
- Mechanics and Biomechanics Studies
- Breastfeeding Practices and Influences
- Psychoanalysis and Psychopathology Research
- Technology Use by Older Adults
- Aging, Elder Care, and Social Issues
- Electronic Health Records Systems
- Biomedical and Engineering Education
University of Liège
2008-2021
Materialise (Belgium)
2010-2015
University of California, San Francisco
2012
Deutsche Nationalbibliothek
1997-1998
Carnegie Mellon University
1997-1998
Saarland University
1997-1998
Centre Inria de l'Université de Lorraine
1998
Laboratoire Lorrain de Recherche en Informatique et ses Applications
1998
Institut national de recherche en informatique et en automatique
1992-1998
Centre National de la Recherche Scientifique
1998
Background: Radiographic features specifically related to the occurrence of femoroacetabular impingement (FAI) appear be highly prevalent in asymptomatic population. It remains unclear, however, how these incidental findings should interpreted clinically and which other variables might differentiate between true preclinical patients. Purpose: To study association cam overall hip morphological characteristics range motion patients, patients (healthy with radiographic specific FAI), healthy...
When analyzing complex biomechanical problems such as predicting the effects of orthopedic surgery, subject-specific musculoskeletal models are essential to achieve reliable predictions. The aim this paper is present Twente Lower Extremity Model 2.0, a new comprehensive dataset geometry lower extremity, which based on medical imaging data and dissection performed right extremity fresh male cadaver. Bone, muscle subcutaneous fat (including skin) volumes were segmented from computed tomography...
Pregnancy and childbirth are two critical stages in a woman's life. Various studies have suggested that psychological distress is common during the year after childbirth. The objectives of this exploratory study were (1) to explore needs mothers following childbirth; (2) compare these between who did not feeling living disorder or depression lived had impression depression; (3) expressed by with perception professionals fathers about mothers' needs.First, we proceeded 22 individual...
Objective: The aim of this study was to find technological solutions that meet the needs mothers during year following childbirth.
Current neuronavigation systems cannot adapt to changing intraoperative conditions over time. To overcome this limitation, we present an experimental end-to-end system capable of updating 3D preoperative images in the presence brain shift and successive resections. The heart our is a nonrigid registration technique using biomechanical model, driven by deformations key surfaces tracked images. model deformed FEM or XFEM, depending on type deformation under consideration, namely, resection. We...
Outcomes for neurosurgery patients can be improved by enhancing intraoperative navigation and guidance. Current systems do not accurately account brain deformation. So far, most studies of deformation have focused on shift, whereas this paper focuses the due to retraction. The heart our system is a 3D nonrigid registration technique using biomechanical model driven deformations key surfaces tracked between two images. surfaces, e.g., whole-brain region boundary lips retraction cut, thus...
This paper considers an approach to improving outcomes for neurosurgery patients by enhancing intraoperative navigation and guidance. Currently, systems do not accurately account brain shift or tissue resection. We describe how preoperative images can be incrementally updated take into any type of deformation that may occur during surgery, thus improve the accuracy image-guided systems. For this purpose, we have developed a non-rigid image registration technique using biomechanical model,...
Several theoretical models have shown that the range of motion hip joint is impaired in patients with femoroacetabular impingement, and acetabular cartilage at risk being damaged as a result abnormal shear stresses, even during normal everyday activities. Computer aided technologies might add to early diagnosis adequate treatment such lesions. This paper describes technique, theories algorithms we developed for patient-specific detection, analysis computer surgery impingement.Currently...
Successfully implementing care technology to enhance people's health-related quality of life poses several challenges. Although many technological tools are available, we lack consensus on values and principles, regulatory systems, labels. This article describes the FIDE process Belgian 'Teckno 2030' project: Future-thinking Interdisciplinary workshops for Development Effectiveness resulting in a framework eight Caring Technology principles. These principles built three overarching values:...
We present a new method for modeling organ deformations due to successive resections. use biomechanical model of the organ, compute its volume-displacement solution based on eXtended Finite Element Method (XFEM). The key feature XFEM is that material discontinuities induced by every resection can be handled without remeshing or mesh adaptation, as would required conventional (FEM). focus application preoperative image updating image-guided surgery. Proof-of-concept demonstrations are shown...