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ecg gated 4dcct  (Respiratory Motion)

 
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    Structured Review

    Respiratory Motion ecg gated 4dcct
    Workflow for generating the ITV 4DCT and IRV 4DCT from the <t>4DcCT</t> and 4DCT datasets. The left panel shows the image datasets, and the right panel shows the propagation and merging of regions of interest. For 4DcCT, the CTV and OARs were manually delineated in the reference (0%) phase and propagated across the remaining cardiac phases via deformable image registration, followed by merging to form the ITV 4DcCT and IRV 4DcCT . The AIP image was then rigidly registered to the 4DCT image set, and the closest respiratory phase was selected as the 4DCT reference. The ITV 4DcCT and IRV 4DcCT were transferred to this phase and propagated across all the respiratory phases to generate the ITV 4DCT and IRV 4DCT , which incorporated both cardiac and respiratory motion. 4DCT, four-dimensional computed tomography; 4DcCT, four-dimensional cardiac computed tomography; AIP, average intensity projection; CTV, clinical target volume; IRV, internal organ-at-risk volume; ITV, internal target volume; OARs, organs at risk; ROI, region of interest.
    Ecg Gated 4dcct, supplied by Respiratory Motion, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/ecg gated 4dcct/product/Respiratory Motion
    Average 86 stars, based on 1 article reviews
    ecg gated 4dcct - by Bioz Stars, 2026-06
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    Images

    1) Product Images from "Dosimetric characteristics of cardiorespiratory motion during cardiac stereotactic body radiotherapy and dose gain from respiratory gating"

    Article Title: Dosimetric characteristics of cardiorespiratory motion during cardiac stereotactic body radiotherapy and dose gain from respiratory gating

    Journal: Quantitative Imaging in Medicine and Surgery

    doi: 10.21037/qims-2025-1443

    Workflow for generating the ITV 4DCT and IRV 4DCT from the 4DcCT and 4DCT datasets. The left panel shows the image datasets, and the right panel shows the propagation and merging of regions of interest. For 4DcCT, the CTV and OARs were manually delineated in the reference (0%) phase and propagated across the remaining cardiac phases via deformable image registration, followed by merging to form the ITV 4DcCT and IRV 4DcCT . The AIP image was then rigidly registered to the 4DCT image set, and the closest respiratory phase was selected as the 4DCT reference. The ITV 4DcCT and IRV 4DcCT were transferred to this phase and propagated across all the respiratory phases to generate the ITV 4DCT and IRV 4DCT , which incorporated both cardiac and respiratory motion. 4DCT, four-dimensional computed tomography; 4DcCT, four-dimensional cardiac computed tomography; AIP, average intensity projection; CTV, clinical target volume; IRV, internal organ-at-risk volume; ITV, internal target volume; OARs, organs at risk; ROI, region of interest.
    Figure Legend Snippet: Workflow for generating the ITV 4DCT and IRV 4DCT from the 4DcCT and 4DCT datasets. The left panel shows the image datasets, and the right panel shows the propagation and merging of regions of interest. For 4DcCT, the CTV and OARs were manually delineated in the reference (0%) phase and propagated across the remaining cardiac phases via deformable image registration, followed by merging to form the ITV 4DcCT and IRV 4DcCT . The AIP image was then rigidly registered to the 4DCT image set, and the closest respiratory phase was selected as the 4DCT reference. The ITV 4DcCT and IRV 4DcCT were transferred to this phase and propagated across all the respiratory phases to generate the ITV 4DCT and IRV 4DCT , which incorporated both cardiac and respiratory motion. 4DCT, four-dimensional computed tomography; 4DcCT, four-dimensional cardiac computed tomography; AIP, average intensity projection; CTV, clinical target volume; IRV, internal organ-at-risk volume; ITV, internal target volume; OARs, organs at risk; ROI, region of interest.

    Techniques Used: Computed Tomography



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    Image Search Results


    Machine learning workflow. Machine learning workflow for prediction of myocardial wall motion recovery based on FDG-PET/MRI viability assessment examination and CMR therapy monitoring 6 months after CTO revascularization. PET/MRI: positron emission tomography / magnetic resonance imaging, CMR: cardiac magnetic resonance, LGE: late gadolinium enhanced scar transmurality, FDG: Fluorine-18 fluorodeoxyglucose uptake, WMA: wall motion abnormalities, ML-MP models: machine learning multiparametric models, ROC AUC: receiver operating characteristic area under the curve.

    Journal: Zeitschrift für Medizinische Physik

    Article Title: Can multiparametric FDG-PET/MRI analysis really enhance the prediction of myocardial recovery after CTO revascularization? A machine learning study

    doi: 10.1016/j.zemedi.2025.03.003

    Figure Lengend Snippet: Machine learning workflow. Machine learning workflow for prediction of myocardial wall motion recovery based on FDG-PET/MRI viability assessment examination and CMR therapy monitoring 6 months after CTO revascularization. PET/MRI: positron emission tomography / magnetic resonance imaging, CMR: cardiac magnetic resonance, LGE: late gadolinium enhanced scar transmurality, FDG: Fluorine-18 fluorodeoxyglucose uptake, WMA: wall motion abnormalities, ML-MP models: machine learning multiparametric models, ROC AUC: receiver operating characteristic area under the curve.

    Article Snippet: Cardiac imaging was conducted using an ECG-gated hybrid PET/MRI system (Biograph mMR, Siemens Healthcare, Erlangen, Germany).

    Techniques: Positron Emission Tomography, Magnetic Resonance Imaging

    Workflow for generating the ITV 4DCT and IRV 4DCT from the 4DcCT and 4DCT datasets. The left panel shows the image datasets, and the right panel shows the propagation and merging of regions of interest. For 4DcCT, the CTV and OARs were manually delineated in the reference (0%) phase and propagated across the remaining cardiac phases via deformable image registration, followed by merging to form the ITV 4DcCT and IRV 4DcCT . The AIP image was then rigidly registered to the 4DCT image set, and the closest respiratory phase was selected as the 4DCT reference. The ITV 4DcCT and IRV 4DcCT were transferred to this phase and propagated across all the respiratory phases to generate the ITV 4DCT and IRV 4DCT , which incorporated both cardiac and respiratory motion. 4DCT, four-dimensional computed tomography; 4DcCT, four-dimensional cardiac computed tomography; AIP, average intensity projection; CTV, clinical target volume; IRV, internal organ-at-risk volume; ITV, internal target volume; OARs, organs at risk; ROI, region of interest.

    Journal: Quantitative Imaging in Medicine and Surgery

    Article Title: Dosimetric characteristics of cardiorespiratory motion during cardiac stereotactic body radiotherapy and dose gain from respiratory gating

    doi: 10.21037/qims-2025-1443

    Figure Lengend Snippet: Workflow for generating the ITV 4DCT and IRV 4DCT from the 4DcCT and 4DCT datasets. The left panel shows the image datasets, and the right panel shows the propagation and merging of regions of interest. For 4DcCT, the CTV and OARs were manually delineated in the reference (0%) phase and propagated across the remaining cardiac phases via deformable image registration, followed by merging to form the ITV 4DcCT and IRV 4DcCT . The AIP image was then rigidly registered to the 4DCT image set, and the closest respiratory phase was selected as the 4DCT reference. The ITV 4DcCT and IRV 4DcCT were transferred to this phase and propagated across all the respiratory phases to generate the ITV 4DCT and IRV 4DCT , which incorporated both cardiac and respiratory motion. 4DCT, four-dimensional computed tomography; 4DcCT, four-dimensional cardiac computed tomography; AIP, average intensity projection; CTV, clinical target volume; IRV, internal organ-at-risk volume; ITV, internal target volume; OARs, organs at risk; ROI, region of interest.

    Article Snippet: Notably, the treatment plans in this study were generated using motion-informed approaches rather than static CT. Cardiac and respiratory motion were captured through ECG-gated 4DcCT and respiratory 4DCT, respectively, and target volumes were delineated using structure propagation across 10 cardiac phases and fusion on AIP images, analogous to ITV generation in thoracic radiotherapy.

    Techniques: Computed Tomography