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Performance of four dual-energy CT platforms for abdominal imaging: a task-based image quality assessment based on phantom data
ObjectivesTo compare the spectral performance of dual-energy CT (DECT) platforms using task-based image quality assessment based on phantom data.
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Characterization of accurate 3D collimator-detector response function for single- and multi-lofthole collimated SPECT cameras
PurposeCollimator-detector response function (CDRF) of a SPECT scanner refers to the image generated from a point source of activity. This research...
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Lead-free transparent shields for diagnostic X-rays: Monte Carlo simulation and measurements
In recent years, the preference for using lead-free radiation protection shields has increased because of concerns regarding lead poisoning and...
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Paediatric CT made easy
Paediatric computed tomography (CT) imaging has always been associated with challenges. Although the technical background of CT imaging is complex,...
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Preoperative predicting invasiveness of lung adenocarcinoma manifesting as ground-glass nodules based on multimodal images of dual-layer spectral detector CT radiomics models
ObjectiveTo construct and validate conventional and radiomics models based on dual-layer spectral CT radiomics for preoperative prediction of lung...
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Technical opportunities and challenges in develo** total-body PET scanners for mice and rats
Positron emission tomography (PET) is the most sensitive in vivo molecular imaging technique available. Small animal PET has been widely used in...
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Unintentional injury prevention in American Indian and Alaska Native communities: a sco** review of the Indian Health Service Primary Care Provider newsletter
BackgroundUnintentional injuries disproportionately impact American Indian and Alaska Native (AI/AN) populations. Develo** effective and culturally...
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Artificial intelligence with deep learning in nuclear medicine and radiology
The use of deep learning in medical imaging has increased rapidly over the past few years, finding applications throughout the entire radiology...
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Towards trustworthy seizure onset detection using workflow notes
A major barrier to deploying healthcare AI is trustworthiness. One form of trustworthiness is a model’s robustness across subgroups: while models may...
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Exosomes derived from hypoxia-induced alveolar epithelial cells stimulate interstitial pulmonary fibrosis through a HOTAIRM1-dependent mechanism
Pulmonary fibrosis is the result of various diseases with no satisfactory treatment approaches. The exosome-mediated transfer of long noncoding RNAs...
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Spectral CT of the abdomen: Where are we now?
Spectral CT adds a new dimension to radiological evaluation, beyond assessment of anatomical abnormalities. Spectral data allows for detection of...
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Characterization of ferrous-agarose-xylenol gel dosimeter at 60Co γ-rays beam therapy unit
Fricke gel dosimetry is a valuable technique used for recording 3D dose distribution in radiotherapy. Herein, we present the dosimetric...
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Spectral augmentation for heart chambers segmentation on conventional contrasted and unenhanced CT scans: an in-depth study
PurposeRecently, machine learning has outperformed established tools for automated segmentation in medical imaging. However, segmentation of cardiac...
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What’s new in the hot gallbladder: the evolving radiologic diagnosis and management of acute cholecystitis
AbstractAcute cholecystitis (AC) is a common condition and its incidence is rising. New technologies have advanced the imaging diagnosis of AC,...
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A deep-learning-based scatter correction with water equivalent path length map for digital radiography
We proposed a new deep learning (DL) model for accurate scatter correction in digital radiography. The proposed network featured a pixel-wise water...
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Texture analysis of iodine maps and conventional images for k-nearest neighbor classification of benign and metastatic lung nodules
BackgroundThe purpose of this study was to analyze if the use of texture analysis on spectral detector CT (SDCT)-derived iodine maps (IM) in addition...
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Performance assessment of the 2 γpositronium imaging with the total-body PET scanners
PurposeIn living organisms, the positron-electron annihilation (occurring during the PET imaging) proceeds in about 30% via creation of a metastable...
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Dual energy CT in clinical routine: how it works and how it adds value
Dual energy computed tomography (DECT), also known as spectral CT, refers to advanced CT technology that separately acquires high and low energy...
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Quantitative X-ray phase contrast computed tomography with grating interferometry
The ability of biomedical imaging data to be of quantitative nature is getting increasingly important with the ongoing developments in data science....
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Monte Carlo modelling of a compact CZT-based gamma camera with application to 177Lu imaging
BackgroundSemiconductor gamma-camera systems based on cadmium zinc telluride (CZT) detectors present new challenges due to an energy-response that...