ArticleComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society2010
Joint registration and segmentation of serial lung CT images for image-guided lung cancer diagnosis and therapy.
Article in Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 36 citations in OpenAlex.
- Computer-assisted quantitative evaluation of therapeutic responses for lymphoma using serial PET/CT imaging.Academic radiology · 2010Trial
- Lung image segmentation via generative adversarial networks.Frontiers in physiology · 2024Article
- Unsupervised registration of 3D knee implant components to biplanar X-ray images.BMC medical imaging · 2023Article
- LGAN: Lung segmentation in CT scans using generative adversarial network.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2021Article
- Anterior Mediastinal Lesion Segmentation Based on Two-Stage 3D ResUNet With Attention Gates and Lung Segmentation.Frontiers in oncology · 2020Article
- A level-set approach to joint image segmentation and registration with application to CT lung imaging.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2018Article
- Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases.NeuroImage · 2016Article
- Reconstruction of four-dimensional computed tomography lung images by applying spatial and temporal anatomical constraints using a Bayesian model.Journal of medical imaging (Bellingham, Wash.) · 2015Article
- DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting.Medical image analysis · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
In image-guided diagnosis and treatment of small peripheral lung lesions the alignment of the pre-procedural lung CT images and the intra-procedural images is an important step to accurately guide and monitor the interventional procedure. Registering the serial images often relies on correct segmentation of the images and, on the other hand, the segmentation results can be further improved by temporal alignment of the serial images. This paper presents a joint serial image registration and segmentation algorithm. In this algorithm, serial images are segmented based on the current deformations, and the deformations among the serial images are iteratively refined based on the updated segmentation results. No temporal smoothness about the deformation fields is enforced so that the algorithm can tolerate larger or discontinuous temporal changes that often appear during image-guided therapy. Physical procedure models could also be incorporated to our framework to better handle the temporal changes of the serial images during intervention. In experiments, we apply the proposed algorithm to align serial lung CT images. Results using both simulated and clinical images show that the new algorithm is more robust compared to the method that only uses deformable registration.
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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.