Search Results - "Andersen, Flemming Littrup"
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A deep learning-based whole-body solution for PET/MRI attenuation correction
Published in EJNMMI physics (17-08-2022)“…Background Deep convolutional neural networks have demonstrated robust and reliable PET attenuation correction (AC) as an alternative to conventional AC…”
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Multi-parametric PET/MRI for enhanced tumor characterization of patients with cervical cancer
Published in European journal of hybrid imaging (05-04-2022)“…Aim The concept of personalized medicine has brought increased awareness to the importance of inter- and intra-tumor heterogeneity for cancer treatment. The…”
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AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size
Published in NeuroImage (Orlando, Fla.) (15-11-2020)“…Robust and reliable attenuation correction (AC) is a prerequisite for accurate quantification of activity concentration. In combined PET/MRI, AC is challenged…”
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Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting
Published in Frontiers in neuroscience (07-01-2019)“…Positron emission tomography (PET) imaging is a useful tool for assisting in correct differentiation of tumor progression from reactive changes…”
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Combined PET/MR imaging in neurology: MR-based attenuation correction implies a strong spatial bias when ignoring bone
Published in NeuroImage (Orlando, Fla.) (01-01-2014)“…Combined PET/MR systems have now become available for clinical use. Given the lack of integrated standard transmission (TX) sources in these systems,…”
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Deep learning based low-activity PET reconstruction of [11C]PiB and [18F]FE-PE2I in neurodegenerative disorders
Published in NeuroImage (Orlando, Fla.) (01-10-2022)“…Positron Emission Tomography (PET) can support a diagnosis of neurodegenerative disorder by identifying disease-specific pathologies. Our aim was to…”
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Toward PET/MRI as one-stop shop for radiotherapy planning in cervical cancer patients
Published in Acta oncologica (03-08-2021)“…Radiotherapy (RT) planning for cervical cancer patients entails the acquisition of both Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). Further,…”
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DeepDixon synthetic CT for [ 18F]FET PET/MRI attenuation correction of post-surgery glioma patients with metal implants
Published in Frontiers in neuroscience (06-04-2023)“…Conventional magnetic resonance imaging (MRI) can for glioma assessment be supplemented by positron emission tomography (PET) imaging with radiolabeled amino…”
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Clinical evaluation of PET image reconstruction using a spatial resolution model
Published in European journal of radiology (01-05-2013)“…Abstract Purpose PET image resolution is variable across the measured field-of-view and described by the point spread function (PSF). When accounting for the…”
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A zero-dose synthetic baseline for the personalized analysis of [ 18 F]FDG-PET: Application in Alzheimer's disease
Published in Frontiers in neuroscience (24-11-2022)“…Brain 2-Deoxy-2-[ F]fluoroglucose ([ F]FDG-PET) is widely used in the diagnostic workup of Alzheimer's disease (AD). Current tools for uptake analysis rely on…”
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Automated Quantitative Image-Derived Input Function for the Estimation of Cerebral Blood Flow Using Oxygen-15-Labelled Water on a Long-Axial Field-of-View PET/CT Scanner
Published in Diagnostics (Basel) (01-08-2024)“…The accurate estimation of the tracer arterial blood concentration is crucial for reliable quantitative kinetic analysis in PET. In the current work, we…”
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QUALIPAED-A retrospective quality control study evaluating pediatric long axial field-of-view low-dose FDG-PET/CT
Published in Frontiers in nuclear medicine (13-06-2024)“…Pediatric patients have an increased risk of radiation-induced malignancies due to their ongoing development and long remaining life span. Thus, optimization…”
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A convolutional neural network for total tumor segmentation in [64Cu]Cu-DOTATATE PET/CT of patients with neuroendocrine neoplasms
Published in EJNMMI research (28-05-2022)“…Background Segmentation of neuroendocrine neoplasms (NENs) in [ 64 Cu]Cu-DOTATATE positron emission tomography makes it possible to extract quantitative…”
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Scanner agnostic large-scale evaluation of MS lesion delineation tool for clinical MRI
Published in Frontiers in neuroscience (19-05-2023)“…Patients with MS are MRI scanned continuously throughout their disease course resulting in a large manual workload for radiologists which includes lesion…”
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Device-Less Data-Driven Cardiac and Respiratory Gating Using LAFOV PET Histo Images
Published in Diagnostics (Basel) (01-09-2024)“…The outstanding capabilities of modern Positron Emission Tomography (PET) to highlight small tumor lesions and provide pathological function assessment are at…”
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Repurposing the Public BraTS Dataset for Postoperative Brain Tumour Treatment Response Monitoring
Published in Tomography (Ann Arbor) (01-09-2024)“…The Brain Tumor Segmentation (BraTS) Challenge has been a main driver of the development of deep learning (DL) algorithms and provides by far the largest…”
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Impact of Reduced Image Noise on Deauville Scores in Patients with Lymphoma Scanned on a Long-Axial Field-of-View PET/CT-Scanner
Published in Diagnostics (Basel) (01-03-2023)“…Total body and long-axial field-of-view (LAFOV) PET/CT represent visionary innovations in imaging enabling either improved image quality, reduction in injected…”
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Improved Positron Emission Tomography Quantification: Evaluation of a Maximum-Likelihood Scatter Scaling Algorithm
Published in Diagnostics (Basel) (22-05-2024)“…Incorrect scatter scaling of positron emission tomography (PET) images can lead to halo artifacts, quantitative bias, or reconstruction failure. Tail-fitted…”
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Estimation of brain amyloid accumulation using deep learning in clinical [11C]PiB PET imaging
Published in EJNMMI physics (14-07-2023)“…Introduction Estimation of brain amyloid accumulation is valuable for evaluation of patients with cognitive impairment in both research and clinical routine…”
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Single-voxel delay map from long-axial field-of-view PET scans
Published in Frontiers in nuclear medicine (2024)“…We present an algorithm to estimate the delay between a tissue time-activity curve and a blood input curve at a single-voxel level tested on whole-body data…”
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