AIMC Topic: Tomography, X-Ray Computed

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Improving radiomics reproducibility using deep learning-based image conversion of CT reconstruction algorithms in hepatocellular carcinoma patients.

European radiology Sep 1, 2023
OBJECTIVES: CT reconstruction algorithms affect radiomics reproducibility. In this study, we evaluate the effect of deep learning-based image conversion on CT reconstruction algorithms.
Algorithms Tomography, X-Ray Computed Reproducibility of Results Humans Liver Neoplasms Carcinoma, Hepatocellular Radiographic Image Interpretation, Computer-Assisted Radiomics Deep Learning
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Deep learning reconstruction vs standard reconstruction for abdominal CT: the influence of BMI.

European radiology Aug 31, 2023
OBJECTIVE: This study aimed to evaluate the image quality and lesion conspicuity of the deep learning image reconstruction (DLIR) algorithm compared with standard image reconstruction algorithms on abdominal enhanced computed tomography (CT) scanning...
Humans Tomography, X-Ray Computed Deep Learning Algorithms Radiographic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Radiation Dosage Body Mass Index Phantoms, Imaging
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Raw data consistent deep learning-based field of view extension for dual-source dual-energy CT.

Medical physics Aug 31, 2023
BACKGROUND: Due to technical constraints, dual-source dual-energy CT scans may lack spectral information in the periphery of the patient.
Thorax Phantoms, Imaging Humans Algorithms Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed
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Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning.

IEEE transactions on medical imaging Aug 31, 2023
Deep learning (DL) based image processing methods have been successfully applied to low-dose x-ray images based on the assumption that the feature distribution of the training data is consistent with that of the test data. However, low-dose computed ...
Algorithms Computer Simulation Tomography, X-Ray Computed Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted
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Deep Learning-Based Versus Iterative Image Reconstruction for Unenhanced Brain CT: A Quantitative Comparison of Image Quality.

Tomography (Ann Arbor, Mich.) Aug 31, 2023
This exploratory retrospective study aims to quantitatively compare the image quality of unenhanced brain computed tomography (CT) reconstructed with an iterative (AIDR-3D) and a deep learning-based (AiCE) reconstruction algorithm. After a preliminar...
Humans Brain Retrospective Studies Image Processing, Computer-Assisted Tomography, X-Ray Computed Deep Learning
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Miniaturized Endoscopic 2D US Transducer for Volumetric Ultrasound Imaging of the Auditory System.

IEEE transactions on bio-medical engineering Aug 30, 2023
OBJECTIVE: In this paper, we focus on the carrying out and validation of minimally invasive three-dimensional (3D) ultrasound (US) imaging of the auditory system, which is based on a new miniaturized endoscopic 2D US transducer.
Transducers Ultrasonography Imaging, Three-Dimensional Ultrasonics Phantoms, Imaging Humans Robotics Tomography, X-Ray Computed
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Construction of enhanced CT radiomics model for noninvasive prediction of CXCL13's expression and immune infiltrates in bladder cancer based on logistic regression and support vector machine algorithm.

Asian journal of surgery Aug 29, 2023
Chemokine CXCL13 Support Vector Machine Urinary Bladder Neoplasms Tomography, X-Ray Computed Logistic Models Humans Retrospective Studies
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Combining radiomics and deep learning features of intra-tumoral and peri-tumoral regions for the classification of breast cancer lung metastasis and primary lung cancer with low-dose CT.

Journal of cancer research and clinical oncology Aug 29, 2023
PURPOSE: To investigate the performance of deep learning and radiomics features of intra-tumoral region (ITR) and peri-tumoral region (PTR) in the diagnosing of breast cancer lung metastasis (BCLM) and primary lung cancer (PLC) with low-dose CT (LDCT...
Tomography, X-Ray Computed Female Deep Learning Lung Neoplasms Breast Neoplasms Humans Retrospective Studies
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Prognostic role of computed tomography analysis using deep learning algorithm in patients with chronic hepatitis B viral infection.

Clinical and molecular hepatology Aug 29, 2023
BACKGROUND/AIMS: The prediction of clinical outcomes in patients with chronic hepatitis B (CHB) is paramount for effective management. This study aimed to evaluate the prognostic value of computed tomography (CT) analysis using deep learning algorith...
Hepatitis B, Chronic Deep Learning Liver Neoplasms Albumins Liver Cirrhosis Follow-Up Studies Retrospective Studies Humans Tomography, X-Ray Computed Carcinoma, Hepatocellular Prognosis
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Deep Learning Ultrasound Computed Tomography Under Sparse Sampling.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Aug 29, 2023
Ultrasound computed tomography (USCT) is a fast-emerging imaging modality that is expected to help detect and characterize breast tumors by quantifying the distribution of the speed of sound (SOS) and acoustic attenuation in breast tissue. High-quali...
Tomography, X-Ray Computed Deep Learning Ultrasonography Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Phantoms, Imaging
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