[HTML][HTML] Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences

F Liu, D Liu, J Tian, X Xie, X Yang, K Wang - Medical image analysis, 2020 - Elsevier
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 …

[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 …

Model-based sparse-to-dense image registration for realtime respiratory motion estimation in image-guided interventions

IY Ha, M Wilms, H Handels… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Objective: Intra-interventional respiratory motion estimation is becoming a vital component in
modern radiation therapy delivery or high intensity focused ultrasound systems. The …

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 …

[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 …

[HTML][HTML] Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration

M Nakao, K Kobayashi, J Tokuno… - Medical Image …, 2021 - Elsevier
The positions of nodules can change because of intraoperative lung deflation, and the
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 …

Real-time lung tumor tracking using a CUDA enabled nonrigid registration algorithm for MRI

N Tahmasebi, P Boulanger, J Yun… - IEEE journal of …, 2020 - ieeexplore.ieee.org
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) …

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 …

Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks

U Yamamoto, M Nakao, M Ohzeki, J Tokuno… - Expert Systems with …, 2021 - Elsevier
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 …