ArticleProceedings of SPIE--the International Society for Optical Engineering2012
Nonrigid Registration and Classification of the Kidneys in 3D Dynamic Contrast Enhanced (DCE) MR Images.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Estimation and correction of respiratory motion in pediatric renal SPECT through a data-driven center-of-mass method.Medical physics · 2026Article
- An effective deep learning algorithm for medical image registration.PLOS digital health · 2026Article
- Stepwise Corrected Attention Registration Network for Preoperative and Follow-Up Magnetic Resonance Imaging of Glioma Patients.Bioengineering (Basel, Switzerland) · 2024Article
- Deformation-Compensated Learning for Image Reconstruction Without Ground Truth.IEEE transactions on medical imaging · 2022Article
- Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network.Magnetic resonance in medicine · 2021Article
- Deep learning in medical image registration: a review.Physics in medicine and biology · 2020Review
- Modified dixon-based renal dynamic contrast-enhanced MRI facilitates automated registration and perfusion analysis.Magnetic resonance in medicine · 2018Article
- A Denoising Algorithm for CT Image Using Low-rank Sparse Coding.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
- Improving Image Quality of Cone-Beam CT Using Alternating Regression Forest.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
- High-resolution CT Image Retrieval Using Sparse Convolutional Neural Network.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
- Dynamic contrast-enhanced MRI versusChinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2018Article
- Statistical clustering of parametric maps from dynamic contrast enhanced MRI and an associated decision tree model for non-invasive tumour grading of T1b solid clear cell renal cell carcinoma.European radiology · 2018Article
- 3D kidney segmentation from abdominal diffusion MRI using an appearance-guided deformable boundary.PloS one · 2018Article
- Registration of dynamic contrast-enhanced MRI of the common carotid artery using a fixed-frame template-based squared-difference method.Journal of magnetic resonance imaging : JMRI · 2014Article
- Estimating nonrigid motion from inconsistent intensity with robust shape features.Medical physics · 2013Article
- Deep Learning-based Deformable Registration of Dynamic Contrast-Enhanced MR Images of the Kidney.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
We have applied image analysis methods in the assessment of human kidney perfusion based on 3D dynamic contrast-enhanced (DCE) MRI data. This approach consists of 3D non-rigid image registration of the kidneys and fuzzy C-mean classification of kidney tissues. The proposed registration method reduced motion artifacts in the dynamic images and improved the analysis of kidney compartments (cortex, medulla, and cavities). The dynamic intensity curves show the successive transition of the contrast agent through kidney compartments. The proposed method for motion correction and kidney compartment classification may be used to improve the validity and usefulness of further model-based pharmacokinetic analysis of kidney function.
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Registered trials
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