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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...
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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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Ablative margin quantification using deformable versus rigid image registration in colorectal liver metastasis thermal ablation: a retrospective single-center study
PurposeTo investigate the correlation of minimal ablative margin (MAM) quantification using biomechanical deformable (DIR) versus intensity-based...
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Impact of deep learning image reconstructions (DLIR) on coronary artery calcium quantification
BackgroundDeep learning image reconstructions (DLIR) have been recently introduced as an alternative to filtered back projection (FBP) and iterative...
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Evaluation of the image quality and validity of handheld echocardiography for stroke volume and left ventricular ejection fraction quantification: a method comparison study
Bedside quantification of stroke volume (SV) and left ventricular ejection fraction (LVEF) is valuable in hemodynamically compromised patients....
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An international phantom study of inter-site variability in Technetium-99m image quantification: analyses from the TARGET radioembolization study
BackgroundPersonalised multi-compartment dosimetry based on [ 99m Tc]Tc-MAA is a valuable tool for planning 90 Y radioembolization treatments. The...
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Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in dual-energy CT of the abdomen: a phantom and clinical study
ObjectivesTo investigate the effect of deep learning image reconstruction (DLIR) on the accuracy of iodine quantification and image quality of...
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Assessment of [18F]PI-2620 Tau-PET Quantification via Non-Invasive Automatized Image Derived Input Function
Purpose[ 18 F]PI-2620 positron emission tomography (PET) detects misfolded tau in progressive supranuclear palsy (PSP) and Alzheimer’s disease (AD)....
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Clinical application of the HM-1000 image processing for HER2 fluorescence in situ hybridization signal quantification in breast cancer
BackgroundAccurate quantification of human epidermal growth factor receptor 2 ( HER2 ) gene amplification is important for predicting treatment...
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Impact of bone-equivalent solution density in a thoracic spine phantom on bone single-photon emission computed tomography image quality and quantification
This study aimed to evaluate the effects of dipotassium hydrogen phosphate (K 2 HPO 4 ) solution density on single-photon emission computed tomography...
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Variability in PET image quality and quantification measured with a permanently filled 68Ge-phantom: a multi-center study
BackgroundThis study evaluated, as a snapshot, the variability in quantification and image quality (IQ) of the clinically utilized PET [ 18 F]FDG...
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Comparison of protocols with respiratory-gated (4D) motion compensation in PET/CT: open-source package for quantification of phantom image quality
BackgroundPatient’s breathing affects the quality of chest images acquired with positron emission tomography/computed tomography (PET/CT) studies....
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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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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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Optimization of BMI-Based Images for Overweight and Obese Patients — Implications on Image Quality, Quantification, and Radiation Dose in Whole Body 18F-FDG PET/CT Imaging
PurposeIn PET/CT imaging, the activity of the 18 F-FDG activity is injected either based on patient body weight (BW) or body mass index (BMI). The...
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MRI-based quantification of renal fat in obese individuals using different image analysis approaches
PurposeThe purpose of this study was to evaluate different renal proton density fat fraction (PDFF) analysis approaches. Additionally, we assessed...
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Exploration of Digital Image Analysis for Ki67 Quantification in the Grading of Medullary Thyroid Carcinoma: A Pilot Study with 85 Cases
BackgroundAlthough uncommon, medullary thyroid carcinoma (MTC) accounts for a significant proportion of thyroid cancer deaths. Recent studies have...
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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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Image quality and quantification accuracy dependence on patient body mass in 89Zr PET/CT imaging
BackgroundThis study was conducted to clarify how patient body mass affects the image quality and quantification accuracy of images obtained using 89 ...
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PET image denoising based on denoising diffusion probabilistic model
PurposeDue to various physical degradation factors and limited counts received, PET image quality needs further improvements. The denoising diffusion...
