Non-rigid registration of multi-phase liver CT data using fully automated landmark detection and TPS deformation
出版年份 2018 全文链接
标题
Non-rigid registration of multi-phase liver CT data using fully automated landmark detection and TPS deformation
作者
关键词
Landmark detection, Edge textures, Liver registration, TPS
出版物
Cluster Computing-The Journal of Networks Software Tools and Applications
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2018-04-04
DOI
10.1007/s10586-018-2567-3
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method
- (2017) Xiangrong Zhou et al. MEDICAL PHYSICS
- Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT
- (2016) Zhoubing Xu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Real-Time Automatic Artery Segmentation, Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve
- (2016) Erik Smistad et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging?
- (2015) Xuejun Zhang et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Statistical Biomechanical Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions
- (2015) Siavash Khallaghi et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatic detection method of hepatocellular carcinomas using the non-rigid registration method of multi-phase liver CT images
- (2015) Jeongjin Lee et al. Journal of X-Ray Science and Technology
- Multimodality liver registration of Open-MR and CT scans
- (2015) Amir Hossein Foruzan et al. International Journal of Computer Assisted Radiology and Surgery
- Locally rigid, vessel-based registration for laparoscopic liver surgery
- (2015) Yi Song et al. International Journal of Computer Assisted Radiology and Surgery
- Selection of Optimal Shape Features for Staging Hepatic Fibrosis on CT Image
- (2015) X. J. Zhang et al. Journal of Medical Imaging and Health Informatics
- Position tracking of moving liver lesion based on real-time registration between 2D ultrasound and 3D preoperative images
- (2014) Chijun Weon et al. MEDICAL PHYSICS
- Utility of dual phase liver CT for metastatic melanoma staging and surveillance
- (2013) Nicole Winkler et al. EUROPEAN JOURNAL OF RADIOLOGY
- Deformable Medical Image Registration: A Survey
- (2013) A. Sotiras et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Multi-scale gray level co-occurrence matrices for texture description
- (2013) Fernando Roberti de Siqueira et al. NEUROCOMPUTING
- Medical image registration: a review
- (2012) Francisco P.M. Oliveira et al. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
- Efficient and robust model-to-image alignment using 3D scale-invariant features
- (2012) Matthew Toews et al. MEDICAL IMAGE ANALYSIS
- Scale invariant feature transform in adaptive radiation therapy: a tool for deformable image registration assessment and re-planning indication
- (2012) Chiara Paganelli et al. PHYSICS IN MEDICINE AND BIOLOGY
- On the Design and Analysis of the Privacy-Preserving SVM Classifier
- (2010) Keng-Pei Lin et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Semi-Automatic Anatomical Tree Matching for Landmark-Based Elastic Registration of Liver Volumes
- (2010) Klaus Drechsler et al. Journal of Healthcare Engineering
- Comparison of landmark-based and automatic methods for cortical surface registration
- (2009) Dimitrios Pantazis et al. NEUROIMAGE
- Semiautomatic Registration of Pre- and Postbrain Tumor Resection Laser Range Data: Method and Validation
- (2008) Siyi Ding et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- A Model-Based, Semi-Global Segmentation Approach for Automatic 3-D Point Landmark Localization in Neuroimages
- (2008) Jimin Liu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- 3D ultrasound-CT registration of the liver using combined landmark-intensity information
- (2008) Thomas Lange et al. International Journal of Computer Assisted Radiology and Surgery
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started