Deep learning-based lung image registration: A review

H Xiao, X Xue, M Zhu, X Jiang, Q Xia, K Chen… - Computers in biology …, 2023 - Elsevier
Lung image registration can effectively describe the relative motion of lung tissues, thereby
helping to solve series problems in clinical applications. Since the lungs are soft and fairly …

Augmented reality implementation in minimally invasive surgery for future application in pulmonary surgery: a systematic review

MCJ Doornbos, JJ Peek, APWM Maat… - Surgical …, 2024 - journals.sagepub.com
Objective This systematic review investigates of Augmented Reality (AR) systems used in
minimally invasive surgery of deformable organs, focusing on initial registration, dynamic …

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 …

3D–2D image registration for target localization in spine surgery: investigation of similarity metrics providing robustness to content mismatch

T De Silva, A Uneri, MD Ketcha… - Physics in Medicine …, 2016 - iopscience.iop.org
In image-guided spine surgery, robust three-dimensional to two-dimensional (3D–2D)
registration of preoperative computed tomography (CT) and intraoperative radiographs can …

Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck …

X Li, Y Zhang, Y Shi, S Wu, Y Xiao, X Gu, X Zhen… - PloS one, 2017 - journals.plos.org
Deformable image registration (DIR) is a critical technic in adaptive radiotherapy (ART) for
propagating contours between planning computerized tomography (CT) images and …

DCE-MRI perfusion and permeability parameters as predictors of tumor response to CCRT in patients with locally advanced NSCLC

X Tao, L Wang, Z Hui, L Liu, F Ye, Y Song, Y Tang… - Scientific reports, 2016 - nature.com
In this prospective study, 36 patients with stage III non-small cell lung cancers (NSCLC), who
underwent dynamic contrast-enhanced MRI (DCE-MRI) before concurrent chemo …

Surface deformation analysis of collapsed lungs using model-based shape matching

M Nakao, J Tokuno, T Chen-Yoshikawa, H Date… - International journal of …, 2019 - Springer
Purpose To facilitate intraoperative localization of lung nodules, this study used model-
based shape matching techniques to analyze the inter-subject three-dimensional surface …

dPIRPLE: a joint estimation framework for deformable registration and penalized-likelihood CT image reconstruction using prior images

H Dang, AS Wang, MS Sussman… - Physics in Medicine …, 2014 - iopscience.iop.org
Sequential imaging studies are conducted in many clinical scenarios. Prior images from
previous studies contain a great deal of patient-specific anatomical information and can be …

A hybrid, image-based and biomechanics-based registration approach to markerless intraoperative nodule localization during video-assisted thoracoscopic surgery

P Alvarez, S Rouzé, MI Miga, Y Payan… - Medical image …, 2021 - Elsevier
The resection of small, low-dense or deep lung nodules during video-assisted thoracoscopic
surgery (VATS) is surgically challenging. Nodule localization methods in clinical practice …

Hybrid theater and uniportal video-assisted thoracic surgery: the perfect match for lung nodule localization

ZR Zhao, RWH Lau, CSH Ng - Thoracic Surgery Clinics, 2017 - thoracic.theclinics.com
For most of the pulmonary nodules discovered incidentally by thoracic imaging, the
likelihood of them becoming malignant varies according to their size. 1 Despite the fact that …