Articles with "cbct images" as a keyword



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Artifact removal for unpaired thorax CBCT images using a feature fusion residual network and contextual loss.

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Published in 2023 at "Journal of applied clinical medical physics"

DOI: 10.1002/acm2.13968

Abstract: BACKGROUND AND OBJECTIVE Cone-beam computed tomography (CBCT) has become a more and more active cutting-edge topic in the international computed tomography (CT) research due to its advantages of fast scanning speed, high ray utilization rate… read more here.

Keywords: cbct images; feature fusion; loss; thorax cbct ... See more keywords
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Head and neck synthetic CT generated from ultra-low-dose cone-beam CT following Image Gently Protocol using deep neural network.

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Published in 2022 at "Medical physics"

DOI: 10.1002/mp.15585

Abstract: PURPOSE Image guidance is used to improve accuracy of radiation therapy delivery but results in increased dose to patients. This is of particular concern in children who need be treated per Pediatric Image Gently Protocols… read more here.

Keywords: network; cbct images; ultra low; loss ... See more keywords
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Deep learning-based segmentation in prostate radiation therapy using Monte Carlo simulated cone-beam CT.

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Published in 2022 at "Medical physics"

DOI: 10.1002/mp.15946

Abstract: PURPOSE Segmenting organs in cone-beam CT (CBCT) images would allow to adapt the radiotherapy based on the organ deformations that may occur between treatment fractions. However, this is a difficult task because of the relative… read more here.

Keywords: cbct images; prostate; segmentation; deep learning ... See more keywords
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Streaking artifact reduction for CBCT-based synthetic CT generation in adaptive radiotherapy.

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Published in 2022 at "Medical physics"

DOI: 10.1002/mp.16017

Abstract: BACKGROUND Cone-beam computed tomography (CBCT) is widely used for daily image guidance in radiation therapy, enhancing the reproducibility of patient setup. However, its application in adaptive radiotherapy (ART) is limited by many imaging artifacts and… read more here.

Keywords: cbct images; cbct; sct images; sarn ... See more keywords
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Deep learning-based motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) reconstruction.

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Published in 2022 at "Medical physics"

DOI: 10.1002/mp.16103

Abstract: 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 CBCT imaging time than that… read more here.

Keywords: cbct images; cnn; motion; reconstruction ... See more keywords
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Imaging characteristics of enamel pearls on CBCT and their co-relation with supernumerary tooth.

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Published in 2021 at "Oral radiology"

DOI: 10.1007/s11282-021-00567-x

Abstract: OBJECTIVES Enamel pearl (EP) is an ectopic growth of enamel that is generally round and white and it firmly adheres to the external root surface of tooth. The aim of this study was to assess… read more here.

Keywords: cbct images; presence; tooth; enamel pearls ... See more keywords
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Anatomic evaluation of the retromolar canal by histologic and radiologic analyses.

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Published in 2017 at "Archives of oral biology"

DOI: 10.1016/j.archoralbio.2017.05.012

Abstract: OBJECTIVES The aim of this study was to identify the detailed anatomic morphology of the retromolar canal using histologic sections and cone-beam computed tomography (CBCT) images. MATERIALS AND METHODS Twenty-two sides of the mandible obtained… read more here.

Keywords: cbct images; retromolar canal; neurovascular bundle; anatomic evaluation ... See more keywords
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Water equivalent path length calculations using scatter-corrected head and neck CBCT images to evaluate patients for adaptive proton therapy.

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Published in 2017 at "Physics in medicine and biology"

DOI: 10.1088/1361-6560/62/1/59

Abstract: Proton therapy has dosimetric advantages due to the well-defined range of the proton beam over photon radiotherapy. When the proton beams, however, are delivered to the patient in fractionated radiation treatment, the treatment outcome is… read more here.

Keywords: cbct images; proton; cbct; proton therapy ... See more keywords
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Identification of patterns of tumour change measured on CBCT images in NSCLC patients during radiotherapy.

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Published in 2020 at "Physics in medicine and biology"

DOI: 10.1088/1361-6560/aba7d3

Abstract: In this study, we propose a novel approach to investigate changes in the visible tumour and surrounding tissues with the aim of distinguishing modes of tumour change (elastic versus non-elastic) without segmentation on the follow-up… read more here.

Keywords: cbct images; change; nsclc patients; tumour change ... See more keywords
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CycN-Net: A Convolutional Neural Network Specialized for 4D CBCT Images Refinement

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Published in 2021 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2021.3081824

Abstract: Four-dimensional cone-beam computed tomography (4D CBCT) has been developed to provide a sequence of phase-resolved reconstructions in image-guided radiation therapy. However, 4D CBCT images are degraded by severe streaking artifacts and noise because the phase-resolved… read more here.

Keywords: phase resolved; image; cbct images; cbct ... See more keywords
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Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning

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Published in 2022 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2022.3174513

Abstract: Cephalometric analysis relies on accurate detection of craniomaxillofacial (CMF) landmarks from cone-beam computed tomography (CBCT) images. However, due to the complexity of CMF bony structures, it is difficult to localize landmarks efficiently and accurately. In… read more here.

Keywords: cbct images; images using; landmarks cbct; localization craniomaxillofacial ... See more keywords