Real-Time 3D Video Reconstruction for Guidance of Transventricular Neurosurgery
Neuroendoscopic approach to deep-brain targets imparts deformation of the ventricles and
adjacent parenchyma, limiting the accuracy of conventional neuronavigation. We report a …
adjacent parenchyma, limiting the accuracy of conventional neuronavigation. We report a …
A unified hybrid transformer for joint MRI sequences super-resolution and missing data imputation
Objective. High-resolution multi-modal magnetic resonance imaging (MRI) is crucial in
clinical practice for accurate diagnosis and treatment. However, challenges such as budget …
clinical practice for accurate diagnosis and treatment. However, challenges such as budget …
A unified generation‐registration framework for improved MR‐based CT synthesis in proton therapy
Background The use of magnetic resonance (MR) imaging for proton therapy treatment
planning is gaining attention as a highly effective method for guidance. At the core of this …
planning is gaining attention as a highly effective method for guidance. At the core of this …
Structure-aware independently trained multi-scale registration network for cardiac images
Q Chang, Y Wang - Medical & Biological Engineering & Computing, 2024 - Springer
Image registration is a primary task in various medical image analysis applications.
However, cardiac image registration is difficult due to the large non-rigid deformation of the …
However, cardiac image registration is difficult due to the large non-rigid deformation of the …
Vessel-targeted compensation of deformable motion in interventional cone-beam CT
The present standard of care for unresectable liver cancer is transarterial
chemoembolization (TACE), which involves using chemotherapeutic particles to selectively …
chemoembolization (TACE), which involves using chemotherapeutic particles to selectively …
Deformable registration of preoperative MR and intraoperative long-length tomosynthesis images for guidance of spine surgery via image synthesis
Purpose Improved integration and use of preoperative imaging during surgery hold
significant potential for enhancing treatment planning and instrument guidance through …
significant potential for enhancing treatment planning and instrument guidance through …
[HTML][HTML] Indirect deformable image registration using synthetic image generated by unsupervised deep learning
Background and purpose 3D image registration is now common in many medical domains.
Multimodal registration implies the use of different imaging modalities, which results in lower …
Multimodal registration implies the use of different imaging modalities, which results in lower …
GAN‐based metal artifacts region inpainting in brain MRI imaging with reflective registration
K Xie, L Gao, H Zhang, S Zhang, Q Xi, F Zhang… - Medical …, 2024 - Wiley Online Library
Background and objective Metallic magnetic resonance imaging (MRI) implants can
introduce magnetic field distortions, resulting in image distortion, such as bulk shifts and …
introduce magnetic field distortions, resulting in image distortion, such as bulk shifts and …
L2NLF: a novel linear-to-nonlinear framework for multi-modal medical image registration
L Deng, Y Zou, X Yang, J Wang, S Huang - Biomedical Engineering …, 2024 - Springer
In recent years, deep learning has ushered in significant development in medical image
registration, and the method of non-rigid registration using deep neural networks to generate …
registration, and the method of non-rigid registration using deep neural networks to generate …
Deep learning aided prostate cancer detection for early diagnosis & treatment using MR with TRUS images
Although difficult, robust and reliable synchronization of multimodal medical pictures has
several practical uses. For instance, in MR-TRUS fusing guided prostate treatments, picture …
several practical uses. For instance, in MR-TRUS fusing guided prostate treatments, picture …