AIMC Topic: Four-Dimensional Computed Tomography

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4DCT image artifact detection using deep learning.

Medical physics Nov 14, 2024
BACKGROUND: Four-dimensional computed tomography (4DCT) is an es sential tool in radiation therapy. However, the 4D acquisition process may cause motion artifacts which can obscure anatomy and distort functional measurements from CT scans.
Image Processing, Computer-Assisted Artifacts Four-Dimensional Computed Tomography Humans Deep Learning
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Machine learning-derived clinical decision algorithm for the diagnosis of hyperfunctioning parathyroid glands in patients with primary hyperparathyroidism.

European radiology Oct 30, 2024
PURPOSE: To train and validate machine learning-derived clinical decision algorithm (CDA) for the diagnosis of hyperfunctioning parathyroid glands using preoperative variables to facilitate surgical planning.
Male Middle Aged Radiopharmaceuticals Aged Adult Sensitivity and Specificity Single Photon Emission Computed Tomography Computed Tomography Four-Dimensional Computed Tomography Technetium Tc 99m Sestamibi Humans Parathyroidectomy Machine Learning Hyperparathyroidism, Primary Algorithms Parathyroid Glands Retrospective Studies Clinical Decision-Making Female
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A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata.

Medical image analysis Oct 30, 2024
Acute ischemic stroke (AIS) remains a global health challenge, leading to long-term functional disabilities without timely intervention. Spatio-temporal (4D) Computed Tomography Perfusion (CTP) imaging is crucial for diagnosing and treating AIS due t...
Male Middle Aged Deep Learning Female Aged Thrombectomy Perfusion Imaging Four-Dimensional Computed Tomography Ischemic Stroke Stroke Metadata Humans
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A deep learning model for translating CT to ventilation imaging: analysis of accuracy and impact on functional avoidance radiotherapy planning.

Japanese journal of radiology Mar 27, 2024
PURPOSE: Radiotherapy planning incorporating functional lung images has the potential to reduce pulmonary toxicity. Free-breathing 4DCT-derived ventilation image (CTVI) may help quantify lung function. This study introduces a novel deep-learning mode...
Humans Tomography, X-Ray Computed Female Aged Male Radiotherapy Planning, Computer-Assisted Four-Dimensional Computed Tomography Deep Learning Middle Aged Lung Neoplasms Lung Carcinoma, Non-Small-Cell Lung
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Benchmarking machine learning-based real-time respiratory signal predictors in 4D SBRT.

Medical physics Mar 27, 2024
BACKGROUND: Stereotactic body radiotherapy of thoracic and abdominal tumors has to account for respiratory intrafractional tumor motion. Commonly, an external breathing signal is continuously acquired that serves as a surrogate of the tumor motion an...
Radiosurgery Four-Dimensional Computed Tomography Benchmarking Respiration Humans Machine Learning Deep Learning Time Factors
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Deep learning-based target decomposition for markerless lung tumor tracking in radiotherapy.

Medical physics Mar 20, 2024
BACKGROUND: In radiotherapy, real-time tumor tracking can verify tumor position during beam delivery, guide the radiation beam to target the tumor, and reduce the chance of a geometric miss. Markerless kV x-ray image-based tumor tracking is challengi...
Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Radiotherapy, Image-Guided Four-Dimensional Computed Tomography Humans
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Deep learning-based conditional inpainting for restoration of artifact-affected 4D CT images.

Medical physics Dec 6, 2023
BACKGROUND: 4D CT imaging is an essential component of radiotherapy of thoracic and abdominal tumors. 4D CT images are, however, often affected by artifacts that compromise treatment planning quality and image information reliability.
Four-Dimensional Computed Tomography Image Processing, Computer-Assisted Lung Neoplasms Artifacts Humans Deep Learning
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Deep learning based automatic internal gross target volume delineation from 4D-CT of hepatocellular carcinoma patients.

Journal of applied clinical medical physics Nov 22, 2023
BACKGROUND: The location and morphology of the liver are significantly affected by respiratory motion. Therefore, delineating the gross target volume (GTV) based on 4D medical images is more accurate than regular 3D-CT with contrast. However, the 4D ...
Humans Deep Learning Carcinoma, Hepatocellular Liver Neoplasms Tumor Burden Four-Dimensional Computed Tomography
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Automatic segmentation and labelling of wrist bones in four-dimensional computed tomography datasets via deep learning.

The Journal of hand surgery, European volume Oct 26, 2023
This study developed a deep learning model for fully automatic segmentation and labelling of wrist bones from four-dimensional computed tomography (4DCT) scans. This is a crucial step towards implementing 4DCT for diagnosing wrist ligament lesions, r...
Four-Dimensional Computed Tomography Humans Carpal Bones Image Processing, Computer-Assisted Ligaments, Articular Deep Learning Wrist
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Deep learning for collateral evaluation in ischemic stroke with imbalanced data.

International journal of computer assisted radiology and surgery Jan 12, 2023
PURPOSE: Collateral evaluation is typically done using visual inspection of cerebral images and thus suffers from intra- and inter-rater variability. Large open databases of ischemic stroke patients are rare, limiting the use of deep learning methods...
Brain Ischemia Four-Dimensional Computed Tomography Humans Deep Learning Computed Tomography Angiography Retrospective Studies Ischemic Stroke Cerebral Angiography Stroke
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