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Abdominal fat quantification using convolutional networks
ObjectivesTo present software for automated adipose tissue quantification of abdominal magnetic resonance imaging (MRI) data using fully...
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Myocardial extracellular volume quantification with computed tomography—current status and future outlook
Non-invasive quantification of the extracellular volume (ECV) is a method for the evaluation of focal and diffuse myocardial fibrosis, potentially...
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Quantification of fluorescence angiography for visceral perfusion assessment: measuring agreement between two software algorithms
BackgroundIndocyanine green fluorescence angiography (ICG-FA) may reduce perfusion-related complications of gastrointestinal anastomosis. Software...
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Coronary artery calcium quantification technique using dual energy material decomposition: a simulation study
Coronary artery calcification is a significant predictor of cardiovascular disease, with current detection methods like Agatston scoring having...
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Value of CT quantification in progressive fibrosing interstitial lung disease: a deep learning approach
ObjectivesTo evaluate the relationship of changes in the deep learning–based CT quantification of interstitial lung disease (ILD) with changes in...
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Clinical validation of an AI-based automatic quantification tool for lung lobes in SPECT/CT
BackgroundLung lobar ventilation and perfusion (V/Q) quantification is generally obtained by generating planar scintigraphy images and then imposing...
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Blood loss quantification during major abdominal surgery: prospective observational cohort study
BackgroundBlood loss during major abdominal surgery is an essential parameter in the evaluation of strategies aimed at reducing perioperative...
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Validation of cardiac image-derived input functions for functional PET quantification
PurposeFunctional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate...
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Novel contouring method for optimizing MRI flow quantification in patients with aortic valve disease
Optimizing MRI aortic flow quantification is crucial for accurate assessment of valvular disease severity. In this study, we sought to evaluate the...
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PET imaging and quantification of small animals using a clinical SiPM-based camera
BackgroundSmall-animal PET imaging is an important tool in preclinical oncology. This study evaluated the ability of a clinical SiPM-PET camera to...
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Specific quantification of inducible HIV-1 reservoir by RT-LAMP
BackgroundStrategies toward HIV-1 cure aim to clear, inactivate, reduce, or immunologically control the virus from a pool of latently infected cells...
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Feasibility of 177Lu activity quantification using a small portable CZT-based gamma-camera
BackgroundIn image processing for activity quantification, the end goal is to produce a metric that is independent of the measurement geometry....
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Impact of reconstruction parameters on the accuracy of myocardial extracellular volume quantification on a first-generation, photon-counting detector CT
BackgroundThe potential role of cardiac computed tomography (CT) has increasingly been demonstrated for the assessment of diffuse myocardial fibrosis...
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Quantification and dosimetry of small volumes including associated uncertainty estimation
BackgroundAccurate quantification of radioactivity in a source of interest relies on accurate registration between SPECT and anatomical images, and...
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Interstitial lung abnormality evaluated by an automated quantification system: prevalence and progression rate
BackgroundDespite the importance of recognizing interstitial lung abnormalities, screening methods using computer-based quantitative analysis are not...
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Quantification of dynamic cerebral autoregulation: welcome to the jungle!
PurposePatients with dysautonomia often experience symptoms such as dizziness, syncope, blurred vision and brain fog. Dynamic cerebral...
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Machine Learning Quantification of Pulmonary Regurgitation Fraction from Echocardiography
Assessment of pulmonary regurgitation (PR) guides treatment for patients with congenital heart disease. Quantitative assessment of PR fraction (PRF)...
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Unsupervised domain adaptive tumor region recognition for Ki67 automated assisted quantification
PurposeKi67 is a protein associated with tumor proliferation and metastasis in breast cancer and acts as an essential prognostic factor. Clinical...
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Ultra-low-dose CT for attenuation correction: dose savings and effect on PET quantification for protocols with and without tin filter
BackgroundUltra-low-dose (ULD) computed tomography (CT) scans should be used when CT is performed only for attenuation correction (AC) of positron...
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Investigation of PET image quality with acquisition time/bed and enhancement of lesion quantification accuracy through deep progressive learning
ObjectiveTo improve the PET image quality by a deep progressive learning (DPL) reconstruction algorithm and evaluate the DPL performance in lesion...
