AIMC Topic: Four-Dimensional Computed Tomography

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Deep learning-based motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) reconstruction.

Medical physics Dec 3, 2022
BACKGROUND: Motion-compensated (MoCo) reconstruction shows great promise in improving four-dimensional cone-beam computed tomography (4D-CBCT) image quality. MoCo reconstruction for a 4D-CBCT could be more accurate using motion information at the CBC...
Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Algorithms Phantoms, Imaging Four-Dimensional Computed Tomography Spiral Cone-Beam Computed Tomography Lung Neoplasms Motion
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Deep learning-based internal gross target volume definition in 4D CT images of lung cancer patients.

Medical physics Nov 25, 2022
BACKGROUND: Contouring of internal gross target volume (iGTV) is an essential part of treatment planning in radiotherapy to mitigate the impact of intra-fractional target motion. However, it is usually time-consuming and easily subjected to intra-obs...
Image Processing, Computer-Assisted Lung Neoplasms Tumor Burden Four-Dimensional Computed Tomography Radiotherapy Planning, Computer-Assisted Humans Deep Learning
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A deep learning method for translating 3DCT to SPECT ventilation imaging: First comparison with Kr-gas SPECT ventilation imaging.

Medical physics May 17, 2022
PURPOSE: This study aimed to evaluate the accuracy of deep learning (DL)-based computed tomography (CT) ventilation imaging (CTVI).
Lung Deep Learning Image Processing, Computer-Assisted Four-Dimensional Computed Tomography Pulmonary Ventilation Tomography, Emission-Computed, Single-Photon
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Patient-specific deep learning model to enhance 4D-CBCT image for radiomics analysis.

Physics in medicine and biology Apr 1, 2022
4D-CBCT provides phase-resolved images valuable for radiomics analysis for outcome prediction throughout treatment courses. However, 4D-CBCT suffers from streak artifacts caused by under-sampling, which severely degrades the accuracy of radiomic feat...
Image Processing, Computer-Assisted Lung Neoplasms Phantoms, Imaging Deep Learning Cone-Beam Computed Tomography Four-Dimensional Computed Tomography Spiral Cone-Beam Computed Tomography Humans
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Dosimetric Study of Deep Learning-Guided ITV Prediction in Cone-beam CT for Lung Stereotactic Body Radiotherapy.

Frontiers in public health Mar 22, 2022
PURPOSE: The purpose of this study was to evaluate the accuracy of a lung stereotactic body radiotherapy (SBRT) treatment plan with the target of a newly predicted internal target volume (ITV) and the feasibility of its clinical application. ITV was ...
Retrospective Studies Lung Cone-Beam Computed Tomography Lung Neoplasms Deep Learning Humans Radiosurgery Four-Dimensional Computed Tomography Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Deep learning improves image quality and radiomics reproducibility for high-speed four-dimensional computed tomography reconstruction.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 4, 2022
BACKGROUND AND PURPOSE: Hybrid iterative reconstruction (HIR) is the most commonly used algorithm for four-dimensional computed tomography (4DCT) reconstruction due to its high speed. However, the image quality is worse than that of model-based itera...
Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Four-Dimensional Computed Tomography Radiation Dosage Reproducibility of Results Deep Learning Humans Algorithms
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Development of a deep learning-based patient-specific target contour prediction model for markerless tumor positioning.

Medical physics Jan 27, 2022
PURPOSE: For pancreatic cancer patients, image guided radiation therapy and real-time tumor tracking (RTTT) techniques can deliver radiation to the target accurately. Currently, for the radiation therapy machine with kV X-ray imaging systems, interna...
Neoplasms Deep Learning Radiotherapy, Image-Guided Four-Dimensional Computed Tomography Radiotherapy, Intensity-Modulated Humans
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Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT.

Computers in biology and medicine Dec 30, 2021
Automatic cardiac chamber and left ventricular (LV) myocardium segmentation over the cardiac cycle significantly extends the utilization of contrast-enhanced cardiac CT, potentially enabling in-depth assessment of cardiac function. Therefore, we eval...
Four-Dimensional Computed Tomography Image Processing, Computer-Assisted Heart Humans Neural Networks, Computer Deep Learning
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Few-shot learning for deformable image registration in 4DCT images.

The British journal of radiology Oct 18, 2021
OBJECTIVES: To develop a rapid and accurate 4D deformable image registration (DIR) approach for online adaptive radiotherapy.
Respiration Exhalation Inhalation Time Factors Radiotherapy Planning, Computer-Assisted Radiotherapy, Image-Guided Four-Dimensional Computed Tomography Lung Deep Learning Humans
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A deep learning-based dual-omics prediction model for radiation pneumonitis.

Medical physics Aug 25, 2021
PURPOSE: Radiation pneumonitis (RP) is the main source of toxicity in thoracic radiotherapy. This study proposed a deep learning-based dual-omics model, which aims to improve the RP prediction performance by integrating more data points and exploring...
Radiation Pneumonitis Four-Dimensional Computed Tomography Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans Deep Learning
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