[HTML][HTML] A review of deep learning-based three-dimensional medical image registration methods

H Xiao, X Teng, C Liu, T Li, G Ren, R Yang… - … Imaging in Medicine …, 2021 - ncbi.nlm.nih.gov
Medical image registration is a vital component of many medical procedures, such as image-
guided radiotherapy (IGRT), as it allows for more accurate dose-delivery and better …

Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling

HC Shao, J Wang, T Bai, J Chun, JC Park… - Physics in Medicine …, 2022 - iopscience.iop.org
Objective. Real-time imaging is highly desirable in image-guided radiotherapy, as it
provides instantaneous knowledge of patients' anatomy and motion during treatments and …

[HTML][HTML] 4D-Precise: Learning-based 3D motion estimation and high temporal resolution 4DCT reconstruction from treatment 2D+ t X-ray projections

A Zakeri, A Hokmabadi, MG Nix, A Gooya… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objective In radiotherapy treatment planning, respiration-induced
motion introduces uncertainty that, if not appropriately considered, could result in dose …

Automatic liver tumor localization using deep learning‐based liver boundary motion estimation and biomechanical modeling (DL‐Bio)

HC Shao, X Huang, MR Folkert, J Wang… - Medical …, 2021 - Wiley Online Library
Purpose Recently, two‐dimensional‐to‐three‐dimensional (2D‐3D) deformable registration
has been applied to deform liver tumor contours from prior reference images onto estimated …

A method of three-dimensional non-rigid localization of liver tumors based on structured light

L Chen, L Ma, F Zhang, W Zhan, X Yang… - Optics and Lasers in …, 2024 - Elsevier
In this paper, a new localization method of liver tumors based on structured light is proposed
to achieve the accurate resection of liver tumors. Firstly, the preoperative liver model and …

[HTML][HTML] Volumetric cine magnetic resonance imaging (VC-MRI) using motion modeling, free-form deformation and multi-slice undersampled 2D cine MRI …

W Harris, FF Yin, J Cai, L Ren - Quantitative imaging in medicine …, 2020 - ncbi.nlm.nih.gov
Background The purpose of this study is to improve on-board volumetric cine magnetic
resonance imaging (VC-MRI) using multi-slice undersampled cine images reconstructed …

3D cine-magnetic resonance imaging using spatial and temporal implicit neural representation learning (STINR-MR)

HC Shao, T Mengke, J Deng… - Physics in Medicine & …, 2024 - iopscience.iop.org
Objective. 3D cine-magnetic resonance imaging (cine-MRI) can capture images of the
human body volume with high spatial and temporal resolutions to study anatomical …

[HTML][HTML] Fast Fourier transform combined with phase leading compensator for respiratory motion compensation system

CC Kuo, HC Chuang, AH Liao, HW Yu… - … Imaging in Medicine …, 2020 - ncbi.nlm.nih.gov
Background The reduction of the delaying effect in the respiratory motion compensation
system (RMCS) is still impossible to completely correct the respiratory waveform of the …

Target registration error reduction for percutaneous abdominal intervention

M Bas, K Król, D Spinczyk - Computerized Medical Imaging and Graphics, 2021 - Elsevier
A real-time methodology that finds spatio-temporal correspondence between the positions of
the target point in the pre-treatment 3DCT image and during the procedure was proposed. It …

[PDF][PDF] Görüntü işleme ve rekonstrüksiyonda yapay zekâ

E UYSAL, BA YILDIRIM - Turkiye Klinikleri Radiation Oncology …, 2022 - researchgate.net
Dijital ortama aktarılan görüntülerin manipüle edilebilmesi sayesinde görüntü işleme
yöntemleri gelişmektedir. Bu sayede son yıllarda yapay zekânın yüksek performanslı …