Jonathan I. Sperl
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View article: Artificial intelligence-based automated matching of pulmonary nodules on follow-up chest CT
Artificial intelligence-based automated matching of pulmonary nodules on follow-up chest CT Open
Background The growing demand for follow-up imaging highlights the need for tools supporting the assessment of pulmonary nodules over time. We evaluated the performance of an artificial intelligence (AI)-based system for automated nodule m…
View article: The emergence of the fractal bronchial tree
The emergence of the fractal bronchial tree Open
The fractal design of the bronchial tree, as described by the Hess–Murray law, facilitates energy-efficient lung ventilation, yet its developmental origins remain unclear. Here, we quantify the rearrangement of the embryonic bronchial tree…
View article: Fully Automated Assessment of Cardiac Chamber Volumes and Myocardial Mass on Non-Contrast Chest CT with a Deep Learning Model: Validation Against Cardiac MR
Fully Automated Assessment of Cardiac Chamber Volumes and Myocardial Mass on Non-Contrast Chest CT with a Deep Learning Model: Validation Against Cardiac MR Open
Background: To validate the automated quantification of cardiac chamber volumes and myocardial mass on non-contrast chest CT using cardiac MR (CMR) as a reference. Methods: We retrospectively included 53 consecutive patients who received n…
View article: Comparison of AI software tools for automated detection, quantification and categorization of pulmonary nodules in the HANSE LCS trial
Comparison of AI software tools for automated detection, quantification and categorization of pulmonary nodules in the HANSE LCS trial Open
Participant management in a lung cancer screening (LCS) depends on the assigned Lung Imaging Reporting and Data System (Lung-RADS) category, which is based on reliable detection and measurement of pulmonary nodules. The aim of this study w…
View article: Comparison of AI software tools for automated detection, quantification and categorization of pulmonary nodules in the HANSE LCS trial
Comparison of AI software tools for automated detection, quantification and categorization of pulmonary nodules in the HANSE LCS trial Open
Purpose To compare the performance of two AI-based software tools for detection, quantification and categorization of pulmonary nodules in a lung cancer screening (LCS) program in Northern Germany (HANSE-trial). Method 946 low-dose baselin…
View article: Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT
Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT Open
Re-training of the DL tool improved diameter assessment, resulting in a total of 95.5% correct measurements. Our data suggests that the re-trained DL tool can be applied even in non-ECG-gated chest CT including both, CE and non-CE exams.
View article: Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms Open
Pulmonary Embolisms (PE) represent a leading cause of cardiovascular death. While medical imaging, through computed tomographic pulmonary angiography (CTPA), represents the gold standard for PE diagnosis, it is still susceptible to misdiag…
View article: Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort
Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort Open
Purpose Thoracic aortic (TA) dilatation (TAD) is a risk factor for acute aortic syndrome and must therefore be reported in every CT report. However, the complex anatomy of the thoracic aorta impedes TAD detection. We investigated the perfo…
View article: Fully automated guideline-compliant diameter measurements of the thoracic aorta on ECG-gated CT angiography using deep learning
Fully automated guideline-compliant diameter measurements of the thoracic aorta on ECG-gated CT angiography using deep learning Open
The DL-algorithm provided coherent results to radiologists at almost 90% of measurement locations, while the majority of discrepent cases were located at the aortic root. In summary, the DL-algorithm assisted radiologists in performing AHA…
View article: Reduction of missed thoracic findings in emergency whole-body computed tomography using artificial intelligence assistance
Reduction of missed thoracic findings in emergency whole-body computed tomography using artificial intelligence assistance Open
We consider AI to be a promising approach to reduce the number of missed findings in clinical settings with a necessary time-critical radiological reporting. Nevertheless, algorithm improvement is necessary focusing on a reduction of "fals…
View article: Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value
Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value Open
View article: Artificial intelligence assistance improves reporting efficiency of thoracic aortic aneurysm CT follow-up
Artificial intelligence assistance improves reporting efficiency of thoracic aortic aneurysm CT follow-up Open
View article: Comparison of Artificial Intelligence–Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function Testing
Comparison of Artificial Intelligence–Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function Testing Open
OBJECTIVE. The purpose of this study was to evaluate an artificial intelligence (AI)-based prototype algorithm for fully automated quantification of emphysema on chest CT compared with pulmonary function testing (spirometry). MAT…
View article: Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed Tomography
Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed Tomography Open
Purpose: The purpose of this study was to validate the accuracy of an artificial intelligence (AI) prototype application in determining bone mineral density (BMD) from chest computed tomography (CT), as compared with dual-energy x-ray abso…
View article: A diffusion model‐free framework with echo time dependence for free‐water elimination and brain tissue microstructure characterization
A diffusion model‐free framework with echo time dependence for free‐water elimination and brain tissue microstructure characterization Open
Purpose The compartmental nature of brain tissue microstructure is typically studied by diffusion MRI, MR relaxometry or their correlation. Diffusion MRI relies on signal representations or biophysical models, while MR relaxometry and corr…
View article: Accelerated Reconstruction of Perfusion-Weighted MRI Enforcing Jointly Local and Nonlocal Spatio-temporal Constraints
Accelerated Reconstruction of Perfusion-Weighted MRI Enforcing Jointly Local and Nonlocal Spatio-temporal Constraints Open
Perfusion-weighted magnetic resonance imaging (MRI) is an imaging technique that allows one to measure tissue perfusion in an organ of interest through the injection of an intravascular paramagnetic contrast agent (CA). Due to a preference…
View article: Model‐based denoising in diffusion‐weighted imaging using generalized spherical deconvolution
Model‐based denoising in diffusion‐weighted imaging using generalized spherical deconvolution Open
Purpose Diffusion MRI often suffers from low signal‐to‐noise ratio, especially for high b‐values. This work proposes a model‐based denoising technique to address this limitation. Methods A generalization of the multi‐shell spherical deconv…
View article: Comparison of compressed sensing diffusion spectrum imaging and diffusion tensor imaging in patients with intracranial masses
Comparison of compressed sensing diffusion spectrum imaging and diffusion tensor imaging in patients with intracranial masses Open
View article: Real valued diffusion‐weighted imaging using decorrelated phase filtering
Real valued diffusion‐weighted imaging using decorrelated phase filtering Open
Purpose Because of the intrinsic low signal‐to‐noise ratio in diffusion‐weighted imaging (DWI), magnitude processing often causes an overestimation of the signal's amplitude. This results in low‐estimation accuracy of diffusion models and …
View article: Bias and precision analysis of diffusional kurtosis imaging for different acquisition schemes
Bias and precision analysis of diffusional kurtosis imaging for different acquisition schemes Open
Purpose Diffusional kurtosis imaging (DKI) is an approach to characterizing the non‐Gaussian fraction of water diffusion in biological tissue. However, DKI is highly susceptible to the low signal‐to‐noise ratio of diffusion‐weighted images…
View article: Low-dose, phase-contrast mammography with high signal-to-noise ratio
Low-dose, phase-contrast mammography with high signal-to-noise ratio Open
Differential phase-contrast X-ray imaging using a Talbot-Lau interferometer has recently shown promising results for applications in medical imaging. However, reducing the applied radiation dose remains a major challenge. In this study, we…
View article: Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting
Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting Open
Magnetic resonance fingerprinting (MRF) quantifies various properties simultaneously by matching measurements to a dictionary of precomputed signals. We propose to extend the MRF framework by using a database to introduce additional parame…
View article: Diffusion in realistic biophysical systems can lead to aliasing effects in diffusion spectrum imaging
Diffusion in realistic biophysical systems can lead to aliasing effects in diffusion spectrum imaging Open
Purpose Diffusion spectrum imaging (DSI) is an imaging technique that has been successfully applied to resolve white matter crossings in the human brain. However, its accuracy in complex microstructure environments has not been well charac…
View article: Lens-term- and edge-effect in X-ray grating interferometry
Lens-term- and edge-effect in X-ray grating interferometry Open
X-ray grating interferometry requires gratings with periods in the micrometer range and allows the acquisition of the dark-field contrast. The analyzer grating is designed to match the period of the interference pattern in order to transla…