[HTML][HTML] Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences
Improving the quality of image-guided radiation therapy requires the tracking of respiratory
motion in ultrasound sequences. However, the low signal-to-noise ratio and the artifacts in …
motion in ultrasound sequences. However, the low signal-to-noise ratio and the artifacts in …
[HTML][HTML] Statistical deformation reconstruction using multi-organ shape features for pancreatic cancer localization
M Nakao, M Nakamura, T Mizowaki, T Matsuda - Medical image analysis, 2021 - Elsevier
Respiratory motion and the associated deformations of abdominal organs and tumors are
essential information in clinical applications. However, inter-and intra-patient multi-organ …
essential information in clinical applications. However, inter-and intra-patient multi-organ …
Model-based sparse-to-dense image registration for realtime respiratory motion estimation in image-guided interventions
Objective: Intra-interventional respiratory motion estimation is becoming a vital component in
modern radiation therapy delivery or high intensity focused ultrasound systems. The …
modern radiation therapy delivery or high intensity focused ultrasound systems. The …
Surface deformation analysis of collapsed lungs using model-based shape matching
Purpose To facilitate intraoperative localization of lung nodules, this study used model-
based shape matching techniques to analyze the inter-subject three-dimensional surface …
based shape matching techniques to analyze the inter-subject three-dimensional surface …
[HTML][HTML] Beyond T2 and 3T: New MRI techniques for clinicians
BR Knowles, F Friedrich, C Fischer, D Paech… - Clinical and …, 2019 - Elsevier
Abstract Technological advances in Magnetic Resonance Imaging (MRI) in terms of field
strength and hybrid MR systems have led to improvements in tumor imaging in terms of …
strength and hybrid MR systems have led to improvements in tumor imaging in terms of …
[HTML][HTML] Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration
The positions of nodules can change because of intraoperative lung deflation, and the
modeling of pneumothorax-associated deformation remains a challenging issue for …
modeling of pneumothorax-associated deformation remains a challenging issue for …
Imposing Object's Trajectory and Dynamic Template Updates to Track ROIs in Ultrasound Image Sequences
MS Alshahrani, M Wasih… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper improves an existing object-tracking algorithm to track Regions of Interest (ROIs)
in human liver ultrasound imaging sequences using a correlation filter-based Siamese …
in human liver ultrasound imaging sequences using a correlation filter-based Siamese …
Real-time lung tumor tracking using a CUDA enabled nonrigid registration algorithm for MRI
Objective: This study intends to develop an accurate, real-time tumor tracking algorithm for
the automated radiation therapy for cancer treatment using Graphics Processing Unit (GPU) …
the automated radiation therapy for cancer treatment using Graphics Processing Unit (GPU) …
Kernel-based modeling of pneumothorax deformation using intraoperative cone-beam CT images
M Nakao, H Maekawa, K Mineura… - Medical Imaging …, 2021 - spiedigitallibrary.org
In this study, we introduce statistical modeling methods for pneumothorax deformation using
paired cone-beam computed tomography (CT) images. We designed a deformable mesh …
paired cone-beam computed tomography (CT) images. We designed a deformable mesh …
Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks
In video-assisted thoracoscopic surgeries, successful procedures of nodule resection are
highly dependent on the precise estimation of lung deformation between the inflated lung in …
highly dependent on the precise estimation of lung deformation between the inflated lung in …