AIMC Topic: Cone-Beam Computed Tomography

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3D cone-beam CT with a twin robotic x-ray system in elbow imaging: comparison of image quality to high-resolution multidetector CT.

European radiology experimental Sep 8, 2020
BACKGROUND: Elbow imaging is challenging with conventional multidetector computed tomography (MDCT), while cone-beam CT (CBCT) provides superior options. We compared intra-individually CBCT versus MDCT image quality in cadaveric elbows.
Humans Cone-Beam Computed Tomography Imaging, Three-Dimensional Cadaver Multidetector Computed Tomography Robotics Elbow
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Cone-beam computed tomography-based radiomics in prostate cancer: a mono-institutional study.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Sep 1, 2020
PURPOSE: The purpose of the reported study was to investigate the value of cone-beam computed tomography (CBCT)-based radiomics for risk stratification and prediction of biochemical relapse in prostate cancer.
Logistic Models Neoplasm Grading Machine Learning Adenocarcinoma Radiotherapy Planning, Computer-Assisted Prostatic Neoplasms Area Under Curve Radiotherapy, Intensity-Modulated Aged Neoplasm Staging Aged, 80 and over Cone-Beam Computed Tomography Humans Prostate-Specific Antigen Male Image Processing, Computer-Assisted Middle Aged Computational Biology ROC Curve
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A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance.

International journal of computer assisted radiology and surgery Aug 25, 2020
PURPOSE: During spinal fusion surgery, screws are placed close to critical nerves suggesting the need for highly accurate screw placement. Verifying screw placement on high-quality tomographic imaging is essential. C-arm cone-beam CT (CBCT) provides ...
Surgery, Computer-Assisted Artifacts Pedicle Screws Phantoms, Imaging Image Processing, Computer-Assisted Humans Spinal Fusion Spine Neural Networks, Computer Cone-Beam Computed Tomography
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Comparison of CBCT-based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning.

Medical physics Aug 11, 2020
PURPOSE: Anatomical variations occur during head and neck (H&N) radiotherapy treatment. kV cone-beam computed tomography (CBCT) images can be used for daily dose monitoring to assess dose variations owing to anatomic changes. Deep learning methods (D...
Radiotherapy Planning, Computer-Assisted Calibration Radiotherapy Dosage Cone-Beam Computed Tomography Head and Neck Neoplasms Radiation Oncology Radiotherapy, Intensity-Modulated Phantoms, Imaging Spiral Cone-Beam Computed Tomography Humans Deep Learning
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A deep learning framework for prostate localization in cone beam CT-guided radiotherapy.

Medical physics Jul 27, 2020
PURPOSE: To develop a deep learning-based model for prostate planning target volume (PTV) localization on cone beam computed tomography (CBCT) to improve the workflow of CBCT-guided patient setup.
Prostatic Neoplasms Prostate Radiotherapy Planning, Computer-Assisted Humans Deep Learning Radiotherapy, Image-Guided Male Cone-Beam Computed Tomography
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Cone-beam CT-derived relative stopping power map generation via deep learning for proton radiotherapy.

Medical physics Jul 27, 2020
PURPOSE: In intensity-modulated proton therapy (IMPT), protons are used to deliver highly conformal dose distributions, targeting tumors, and sparing organs-at-risk. However, due to uncertainties in both patient setup and relative stopping power (RSP...
Cone-Beam Computed Tomography Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Protons Humans Radiotherapy Dosage Deep Learning Radiotherapy, Intensity-Modulated
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Artificial intelligence system seems to be able to detect a high proportion of periapical lesions in cone-beam computed tomographic images.

Journal of the American Dental Association (1939) Jul 14, 2020
Humans Artificial Intelligence Cone-Beam Computed Tomography Periapical Diseases
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A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder.

Physics in medicine and biology Jul 13, 2020
The primary cone-beam computed tomography (CBCT) imaging beam scatters inside the patient and produces a contaminating photon fluence that is registered by the detector. Scattered photons cause artifacts in the image reconstruction, and are partially...
Artifacts Cone-Beam Computed Tomography Humans Signal-To-Noise Ratio Image Processing, Computer-Assisted Neural Networks, Computer Scattering, Radiation Monte Carlo Method Head and Neck Neoplasms Phantoms, Imaging
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Neural networks-based regularization for large-scale medical image reconstruction.

Physics in medicine and biology Jul 6, 2020
In this paper we present a generalized Deep Learning-based approach for solving ill-posed large-scale inverse problems occuring in medical image reconstruction. Recently, Deep Learning methods using iterative neural networks (NNs) and cascaded NNs ha...
Cone-Beam Computed Tomography Image Processing, Computer-Assisted Diagnostic Imaging Artifacts Radiation Dosage Signal-To-Noise Ratio Humans Phantoms, Imaging Neural Networks, Computer
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Deep Learning model for markerless tracking in spinal SBRT.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) May 15, 2020
Stereotactic Body Radiation Therapy (SBRT), alternatively termed Stereotactic ABlative Radiotherapy (SABR) or Stereotactic RadioSurgery (SRS), delivers high dose with a sub-millimeter accuracy. It requires meticulous precautions on positioning, as sh...
Spine Deep Learning Radiotherapy Planning, Computer-Assisted Cone-Beam Computed Tomography Radiosurgery
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