Review and recommendations on deformable image registration uncertainties for radiotherapy applications

L Nenoff, F Amstutz, M Murr… - Physics in Medicine …, 2023 - iopscience.iop.org
Deformable image registration (DIR) is a versatile tool used in many applications in
radiotherapy (RT). DIR algorithms have been implemented in many commercial treatment …

[HTML][HTML] Medical image registration in the era of Transformers: A recent review

H Ramadan, D El Bourakadi, A Yahyaouy… - Informatics in Medicine …, 2024 - Elsevier
Motivated by the rapid and current progress to develop intelligent image-guided intervention
tools, we aim in this paper to present, a recent review of a specific family of deep learning …

Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning

J Dai, G Dong, C Zhang, W He, L Liu, T Wang… - Medical Image …, 2024 - Elsevier
Radiotherapy serves as a pivotal treatment modality for malignant tumors. However, the
accuracy of radiotherapy is significantly compromised due to respiratory-induced …

uniGradICON: A Foundation Model for Medical Image Registration

L Tian, H Greer, R Kwitt, FX Vialard… - … Conference on Medical …, 2024 - Springer
Conventional medical image registration approaches directly optimize over the parameters
of a transformation model. These approaches have been highly successful and are used …

Lung250M-4B: a combined 3D dataset for CT-and point cloud-based intra-patient lung registration

F Falta, C Großbröhmer, A Hering… - Advances in …, 2024 - proceedings.neurips.cc
A popular benchmark for intra-patient lung registration is provided by the DIR-LAB
COPDgene dataset consisting of large-motion in-and expiratory breath-hold CT pairs. This …

SPARE: Sparse‐view reconstruction challenge for 4D cone‐beam CT from a 1‐min scan

CC Shieh, Y Gonzalez, B Li, X Jia, S Rit… - Medical …, 2019 - Wiley Online Library
Purpose Currently, four‐dimensional (4D) cone‐beam computed tomography (CBCT)
requires a 3–4 min full‐fan scan to ensure usable image quality. Recent advancements in …

Augmentation of CBCT reconstructed from under-sampled projections using deep learning

Z Jiang, Y Chen, Y Zhang, Y Ge… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Edges tend to be over-smoothed in total variation (TV) regularized under-sampled images.
In this paper, symmetric residual convolutional neural network (SR-CNN), a deep learning …

Electrical Impedance Tomography Guided by Digital Twins and Deep Learning for Lung Monitoring

L Zhu, W Lu, M Soleimani, Z Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In recent years, there has been an increasing interest in applying electrical impedance
tomography (EIT) in lung monitoring due to its advantages of being noninvasive …

ORRN: An ODE-based recursive registration network for deformable respiratory motion estimation with lung 4DCT images

X Liang, S Lin, F Liu, D Schreiber… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Objective: Deformable Image Registration (DIR) plays a significant role in quantifying
deformation in medical data. Recent Deep Learning methods have shown promising …

4D robust optimization including uncertainties in time structures can reduce the interplay effect in proton pencil beam scanning radiation therapy

E Engwall, A Fredriksson, L Glimelius - Medical physics, 2018 - Wiley Online Library
Purpose Interplay effects in proton radiotherapy can create large distortions in the dose
distribution and severely degrade the plan quality. Standard methods to mitigate these …