Augmented reality navigation for cranial biopsy and external ventricular drain insertion
OBJECTIVE The aim of this study was to evaluate the accuracy (deviation from the target or
intended path) and efficacy (insertion time) of an augmented reality surgical navigation …
intended path) and efficacy (insertion time) of an augmented reality surgical navigation …
Pose estimation and non-rigid registration for augmented reality during neurosurgery
Objective: A craniotomy is the removal of a part of the skull to allow surgeons to have access
to the brain and treat tumors. When accessing the brain, a tissue deformation occurs and …
to the brain and treat tumors. When accessing the brain, a tissue deformation occurs and …
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) …
Learning deformable point set registration with regularized dynamic graph CNNs for large lung motion in COPD patients
L Hansen, D Dittmer, MP Heinrich - … , GLMI 2019, Held in Conjunction with …, 2019 - Springer
Deformable registration continues to be one of the key challenges in medical image
analysis. While iconic registration methods have started to benefit from the recent advances …
analysis. While iconic registration methods have started to benefit from the recent advances …
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 …
Detailed clustering based on Gaussian mixture models
N Andriyanov, A Tashlinsky, V Dementiev - Intelligent Systems and …, 2021 - Springer
The work is devoted to the application of models of Gaussian Mixture Models (GMM) and
Deep Gaussian Mixture Models (DGMM) for solving clustering problems. Besides the brief …
Deep Gaussian Mixture Models (DGMM) for solving clustering problems. Besides the brief …
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 …
Robust and accurate nonrigid point set registration algorithm to accommodate anisotropic positional localization error based on coherent point drift
Nonrigid point set (PS) registration is an outstanding and fundamental problem in the fields
of robotics, computer vision, medical image analysis, and image-guided surgery (IGS). The …
of robotics, computer vision, medical image analysis, and image-guided surgery (IGS). The …
Multi-constraint point set registration with redundant point removal for the registration of coronary arteries
B Xu, L Wang, J Yang, B Yang, L Xu, Y Chen… - Computers in Biology …, 2023 - Elsevier
Background Coronary artery disease (CAD) is the leading cause of death worldwide. The
registration of the coronary artery at different phases can help radiologists explore the …
registration of the coronary artery at different phases can help radiologists explore the …
Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data
A probabilistic framework for registering generalised point sets comprising multiple voxel-
wise data features such as positions, orientations and scalar-valued quantities, is proposed …
wise data features such as positions, orientations and scalar-valued quantities, is proposed …