Search Results - "Koerzdoerfer, Gregor"
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Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability
Published in Radiology (01-03-2023)“…Background Deep learning (DL)-based MRI reconstructions can reduce examination times for turbo spin-echo (TSE) acquisitions. Studies that prospectively employ…”
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Magnetic resonance fingerprinting for preoperative differentiation between gonadotroph and non-gonadotroph pituitary macroadenomas
Published in European radiology (01-11-2021)“…Objectives To use magnetic resonance fingerprinting (MRF)–derived T1 and T2 values to differentiate gonadotroph from non-gonadotroph pituitary macroadenomas…”
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Image quality and lesion detectability of deep learning-accelerated T2-weighted Dixon imaging of the cervical spine
Published in Skeletal radiology (01-12-2023)“…Objectives To validate the subjective image quality and lesion detectability of deep learning-accelerated Dixon (DL-Dixon) imaging of the cervical spine…”
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Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging
Published in Diagnostics (Basel) (16-08-2021)“…Magnetic Resonance Imaging (MRI) of the musculoskeletal system is one of the most common examinations in clinical routine. The application of Deep Learning…”
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Feasibility and clinical usefulness of deep learning-accelerated MRI for acute painful fracture patients wearing a splint: A prospective comparative study
Published in PloS one (28-06-2023)“…To evaluate the feasibility and clinical usefulness of deep learning (DL)-accelerated turbo spin echo (TSEDL) sequences relative to standard TSE sequences…”
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Prospective intraindividual comparison of a standard 2D TSE MRI protocol for ankle imaging and a deep learning-based 2D TSE MRI protocol with a scan time reduction of 48
Published in Radiologia medica (01-03-2023)“…Purpose Magnetic resonance imaging (MRI) scan time remains a limited and valuable resource. This study evaluates the diagnostic performance of a deep learning…”
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MR Fingerprinting-A Radiogenomic Marker for Diffuse Gliomas
Published in Cancers (30-01-2022)“…(1) Background: Advanced MR imaging (MRI) of brain tumors is mainly based on qualitative contrast images. MR Fingerprinting (MRF) offers a novel approach. The…”
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Image Quality and Diagnostic Performance of Accelerated 2D Hip MRI with Deep Learning Reconstruction Based on a Deep Iterative Hierarchical Network
Published in Diagnostics (Basel) (01-10-2023)“…Objectives: Hip MRI using standard multiplanar sequences requires long scan times. Accelerating MRI is accompanied by reduced image quality. This study aimed…”
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Fast 5-minute shoulder MRI protocol with accelerated TSE-sequences and deep learning image reconstruction for the assessment of shoulder pain at 1.5 and 3 Tesla
Published in European journal of radiology Open (01-06-2024)“…The objective of this study was to implement a 5-minute MRI protocol for the shoulder in routine clinical practice consisting of accelerated 2D turbo spin echo…”
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Comprehensive Evaluation of B1+-corrected FISP-based Magnetic Resonance Fingerprinting: Accuracy, Repeatability and Reproducibility of T1 and T2 Relaxation Times for ISMRM/NIST System Phantom and Volunteers
Published in Magnetic Resonance in Medical Sciences (2020)“…Purpose: This study aimed to evaluate comprehensively; accuracy, repeatability and reproducibility of T1 and T2 relaxation times measured by magnetic resonance…”
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Intracranial Distribution of Intravenously Administered Gadolinium-based Contrast Agent over a Period of 24 Hours: Evaluation with 3D-real IR Imaging and MR Fingerprinting
Published in Magnetic Resonance in Medical Sciences (01-01-2021)“…Purpose: To evaluate the feasibility for the detection of slight contrast effects after intravenous administration of single dose gadolinium-based contrast…”
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Detection of IV-gadolinium Leakage from the Cortical Veins into the CSF Using MR Fingerprinting
Published in Magnetic Resonance in Medical Sciences (01-01-2020)“…Purpose: It has been reported that leakage of intravenously administered gadolinium-based contrast agents (IV-GBCAs) into the cerebrospinal fluid (CSF) from…”
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Faster Elbow MRI with Deep Learning Reconstruction—Assessment of Image Quality, Diagnostic Confidence, and Anatomy Visualization Compared to Standard Imaging
Published in Diagnostics (Basel) (24-08-2023)“…Objective: The objective of this study was to evaluate a deep learning (DL) reconstruction for turbo spin echo (TSE) sequences of the elbow regarding image…”
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Modern acceleration in musculoskeletal MRI: applications, implications, and challenges
Published in Skeletal radiology (01-09-2024)“…Magnetic resonance imaging (MRI) is crucial for accurately diagnosing a wide spectrum of musculoskeletal conditions due to its superior soft tissue contrast…”
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Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol
Published in European radiology (01-09-2022)“…Objectives The aim of this study was to evaluate the image quality and diagnostic performance of a deep-learning (DL)–accelerated two–dimensional (2D) turbo…”
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Magnetic Resonance Fingerprinting for Preoperative Meningioma Consistency Prediction
Published in Academic radiology (01-08-2022)“…RATIONALE AND OBJECTIVESPreoperative meningioma consistency prediction is highly beneficial for surgical planning and prognostication. We aimed to use magnetic…”
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Deep Learning MRI Reconstruction for Accelerating Turbo Spin Echo Hand and Wrist Imaging: A Comparison of Image Quality, Visualization of Anatomy, and Detection of Common Pathologies with Standard Imaging
Published in Academic radiology (01-11-2023)“…Magnetic resonance imaging (MRI) of the hand and wrist is a routine MRI examination and takes about 15-20 minutes, which can lead to problems resulting from…”
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Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series
Published in Studies in health technology and informatics (2017)“…The purpose of this work is to evaluate methods from deep learning for application to Magnetic Resonance Fingerprinting (MRF). MRF is a recently proposed…”
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Reproducibility and Repeatability of MR Fingerprinting Relaxometry in the Human Brain
Published in Radiology (01-08-2019)“…Background Only sparse literature investigates the reproducibility and repeatability of relaxometry methods in MRI. However, statistical data on…”
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Feasibility of MR fingerprinting using a high-performance 0.55 T MRI system
Published in Magnetic resonance imaging (01-09-2021)“…MR fingerprinting (MRF) is a versatile method for rapid multi-parametric quantification. The application of MRF for lower MRI field could enable multi-contrast…”
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