Title:
深層学習ベースのコレジストレーション
Document Type and Number:
Japanese Patent JP7433297
Kind Code:
B2
Abstract:
Systems and methods for providing a novel framework for unsupervised coregistration using convolutional neural network (CNN) models. The CNN models may perform image coregistration using fully unsupervised learning. Advantageously, the CNN models may also explicitly stabilizes images or transfers contour masks across images. Global alignment may be learned via affine deformations in addition to a dense deformation field, and an unsupervised loss function may be maintained. The CNN models may apply an additional spatial transformation layer at the end of a transformation step, which provides the ability to fine-tune previously predicted transformation so that the CNN models may correct previous transformation errors.
Inventors:
Burke Del Norman
scene patrick monkey
Jesse Lehman-Ciffrey
Martin Simonowski
daniel irving golden
Hoku Kang Lau
scene patrick monkey
Jesse Lehman-Ciffrey
Martin Simonowski
daniel irving golden
Hoku Kang Lau
Application Number:
JP2021510116A
Publication Date:
February 19, 2024
Filing Date:
August 21, 2019
Export Citation:
Assignee:
Arteries Incorporated
International Classes:
G06N3/08; G06T7/00
Foreign References:
| WO2017223560A1 |
Other References:
BOLIN SHAO,Pericardium Segmentation in Non-Contrast Cardiac CT Images Using Convolutional Neural Networks,Master's thesis in Master Programme Biomedical Engineering,スウェーデン,CHALMERS UNIVERSITY OF TECHNOLOGY,2016年,p.1-p.51,https://publications.lib.chalmers.se/records/fulltext/244848/244848.pdf
Yipeng Hu et al.,Adversarial Deformation Regularization for Training Image Registration Neural Networks ,arXiv,米国,CORNELL UNIVERSITY,2018年05月27日,p.1-p.9,https://arxiv.org/ftp/arxiv/papers/1805/1805.10665.pdf
M. Hossein Eybposh et al.,Segmentation and Classification of Cine-MR Images Using Fully Convolutional Networks and Handcrafted Features,arXiv,米国,CORNELL UNIVERSITY,2017年09月08日,p.1-p.9,https://arxiv.org/ftp/arxiv/papers/1709/1709.02565.pdf
Yipeng Hu et al.,Adversarial Deformation Regularization for Training Image Registration Neural Networks ,arXiv,米国,CORNELL UNIVERSITY,2018年05月27日,p.1-p.9,https://arxiv.org/ftp/arxiv/papers/1805/1805.10665.pdf
M. Hossein Eybposh et al.,Segmentation and Classification of Cine-MR Images Using Fully Convolutional Networks and Handcrafted Features,arXiv,米国,CORNELL UNIVERSITY,2017年09月08日,p.1-p.9,https://arxiv.org/ftp/arxiv/papers/1709/1709.02565.pdf
Attorney, Agent or Firm:
Patent Attorney Tani / Abe Patent Office