3-D rigid point set registration for computer-assisted orthopedic surgery (CAOS): A review from the algorithmic perspective
is an important problem in computer-assisted orthopedic surgery (CAOS). As one typical
example, the pre-operative space where the patient-specific surgical plan is usually made …
example, the pre-operative space where the patient-specific surgical plan is usually made …
A Hunger Games Search algorithm with opposition-based learning for solving multimodal medical image registration
Multimodal medical image registration involves multiple pieces of medical equipment
collecting complementary information on the same content, resulting in information fusion …
collecting complementary information on the same content, resulting in information fusion …
Effect of immunology biomarkers associated with hip fracture and fracture risk in older adults
BA Cedeno-Veloz, L Lozano-Vicario… - Immunity & …, 2023 - Springer
Osteoporosis is a skeletal disease that can increase the risk of fractures, leading to adverse
health and socioeconomic consequences. However, current clinical methods have …
health and socioeconomic consequences. However, current clinical methods have …
Generalized 3-D point set registration with hybrid mixture models for computer-assisted orthopedic surgery: From isotropic to anisotropic positional error
Registering two point sets (PSs) is an essential problem in medical robotics and computer-
assisted surgery (CAS). As one typical example, in computer-assisted orthopedic surgery …
assisted surgery (CAS). As one typical example, in computer-assisted orthopedic surgery …
Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data
Intraoperative tissue deformation, known as brain shift, decreases the benefit of using
preoperative images to guide neurosurgery. Non-rigid registration of preoperative magnetic …
preoperative images to guide neurosurgery. Non-rigid registration of preoperative magnetic …
Aligning 3D curve with surface using tangent and normal vectors for computer-assisted orthopedic surgery
Registration that aligns different views of one interested organ together is an essential
technique and outstanding problem in medical robotics and image-guided surgery (IGS) …
technique and outstanding problem in medical robotics and image-guided surgery (IGS) …
Feature-guided nonrigid 3-d point set registration framework for image-guided liver surgery: From isotropic positional noise to anisotropic positional noise
Registration is an essential problem in image-guided surgery (IGS) since it brings different
involved coordinate frames together. Nonrigid or deformable registration still faces many …
involved coordinate frames together. Nonrigid or deformable registration still faces many …
Comparing methods for measurement error detection in serial 24-h hormonal data
E van der Spoel, J Choi, F Roelfsema… - Journal of biological …, 2019 - journals.sagepub.com
Measurement errors commonly occur in 24-h hormonal data and may affect the outcomes of
such studies. Measurement errors often appear as outliers in such data sets; however, no …
such studies. Measurement errors often appear as outliers in such data sets; however, no …
Generalized non-rigid point set registration with hybrid mixture models considering anisotropic positional uncertainties
Image-to-patient or pre-operative to intra-operative registration is an essential problem in
computer-assisted surgery (CAS). Non-rigid or deformable registration is still a challenging …
computer-assisted surgery (CAS). Non-rigid or deformable registration is still a challenging …
Synergistic registration of CT-MRI brain images and retinal images: A novel approach leveraging reinforcement learning and modified artificial rabbit optimization
X Luo, H Zou, Y Hu, P Gui, Y Xu, D Zhang, W Hu, M Hu - Neurocomputing, 2024 - Elsevier
Medical image registration is a pivotal application within the field of medical imaging. It
entails the fusion of commonalities among data of disparate modalities into a unified …
entails the fusion of commonalities among data of disparate modalities into a unified …