ArticlePhysics in medicine and biology2011
A cubic B-spline-based hybrid registration of lung CT images for a dynamic airway geometric model with large deformation.
Article in Physics in medicine and biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 56 citations in OpenAlex.
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- An automated methodology for whole-body, multimodality tracking of individual cancer lesions.Physics in medicine and biology · 2024Article
- deepPERFECT: Novel Deep Learning CT Synthesis Method for Expeditious Pancreatic Cancer Radiotherapy.Cancers · 2023Article
- DAART: a deep learning platform for deeply accelerated adaptive radiation therapy for lung cancer.Frontiers in oncology · 2023Article
- Assessment of Heterogeneity in Lung Structure and Function During Mechanical Ventilation: A Review of Methodologies.Journal of engineering and science in medical diagnostics and therapy · 2022Review
- Development and validation of a longitudinal soft-tissue metastatic lesion matching algorithm.Physics in medicine and biology · 2021Article
- Improving deformable image registration with point metric and masking technique for postoperative breast cancer radiotherapy.Quantitative imaging in medicine and surgery · 2021Article
- Imaging the Injured Lung: Mechanisms of Action and Clinical Use.Anesthesiology · 2019Review
- A robust deformable image registration enhancement method based on radial basis function.Quantitative imaging in medicine and surgery · 2019Article
- Automated identification and reduction of artifacts in cine four-dimensional computed tomography (4DCT) images using respiratory motion model.International journal of computer assisted radiology and surgery · 2017Article
- Article
- A 4DCT imaging-based breathing lung model with relative hysteresis.Journal of computational physics · 2016Article
- Efficient methods for implementation of multi-level nonrigid mass-preserving image registration on GPUs and multi-threaded CPUs.Computer methods and programs in biomedicine · 2016Article
- Pulmonary CT and MRI phenotypes that help explain chronic pulmonary obstruction disease pathophysiology and outcomes.Journal of magnetic resonance imaging : JMRI · 2016Review
- Analysis of three-dimensional aerosol deposition in pharmacologically relevant terms: beyond black or white ROIs.Journal of aerosol medicine and pulmonary drug delivery · 2015Article
- Extent of Spine Deformity Predicts Lung Growth and Function in Rabbit Model of Early Onset Scoliosis.PloS one · 2015Article
- A fast deformable registration method for 4D lung CT in hybrid framework.International journal of computer assisted radiology and surgery · 2014Article
- A multiscale MDCT image-based breathing lung model with time-varying regional ventilation.Journal of computational physics · 2013Article
- Deformable medical image registration: a survey.IEEE transactions on medical imaging · 2013Review
- A PERFECT MATCH CONDITION FOR POINT-SET MATCHING PROBLEMS USING THE OPTIMAL MASS TRANSPORT APPROACH.SIAM journal on imaging sciences · 2013Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The goal of this study is to develop a matching algorithm that can handle large geometric changes in x-ray computed tomography (CT)-derived lung geometry occurring during deep breath maneuvers. These geometric relationships are further utilized to build a dynamic lung airway model for computational fluid dynamics (CFD) studies of pulmonary air flow. The proposed algorithm is based on a cubic B-spline-based hybrid registration framework that incorporates anatomic landmark information with intensity patterns. A sequence of invertible B-splines is composed in a multiresolution framework to ensure local invertibility of the large deformation transformation and a physiologically meaningful similarity measure is adopted to compensate for changes in voxel intensity due to inflation. Registrations are performed using the proposed approach to match six pairs of 3D CT human lung datasets. Results show that the proposed approach has the ability to match the intensity pattern and the anatomical landmarks, and ensure local invertibility for large deformation transformations. Statistical results also show that the proposed hybrid approach yields significantly improved results as compared with approaches using either landmarks or intensity alone.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.