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Article
Open AccessRadiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics
Achieving a consensus on a definition for different aspects of radiomics workflows to support their translation into clinical usage. Furthermore, to assess the perspective of experts on important challenges fo...
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Chapter and Conference Paper
Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke
Swift diagnosis and treatment play a decisive role in the clinical outcome of patients with acute ischemic stroke (AIS), and computer-aided diagnosis (CAD) systems can accelerate the underlying diagnostic proc...
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Chapter and Conference Paper
Abstract: Object Detection for Breast Diffusion-weighted Imaging
Diffusion-weighted imaging (DWI) is a rapidly emerging unenhanced MRI technique in oncologic breast imaging. This IRB approved study included n=818 patients (with n=618 malignant lesions in n=268 patients). Al...
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Chapter and Conference Paper
Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
Data augmentation (DA) is a key factor in medical image analysis, such as in prostate cancer (PCa) detection on magnetic resonance images. State-of-the-art computer-aided diagnosis systems still rely on simpli...
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Article
Open AccessAddressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer
Prostate cancer (PCa) diagnosis on multi-parametric magnetic resonance images (MRI) requires radiologists with a high level of expertise. Misalignments between the MRI sequences can be caused by patient moveme...
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Article
Open AccessDeep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke
Swift diagnosis and treatment play a decisive role in the clinical outcome of patients with acute ischemic stroke (AIS), and computer-aided diagnosis (CAD) systems can accelerate the underlying diagnostic proc...
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Chapter and Conference Paper
Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection
Data augmentation (DA) is a key factor in medical image analysis, such as in prostate cancer (PCa) detection on magnetic resonance images. State-of-the-art computer-aided diagnosis systems still rely on simpli...
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Article
Open AccessDynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions
Molecular simulations are a powerful tool to complement and interpret ambiguous experimental data on biomolecules to obtain structural models. Such data-assisted simulations often rely on parameters, the choic...
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Chapter and Conference Paper
Abstract: Joint Imaging Platform for Federated Clinical Data Analytics
Image analysis is one of the most promising applications of artificial intelligence (AI) in healthcare, potentially improving prediction, diagnosis and treatment of diseases. While scientific advances in this ...
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Chapter and Conference Paper
Abstract: MITK-ModelFit
Model fitting is employed in numerous medical imaging applications for quantitative parameter estimation. Prominent examples include pharmacokinetic modelling of dynamic contrast-enhanced (DCE) MRI data and ap...
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Article
IDH-wildtype glioblastomas and grade III/IV IDH-mutant gliomas show elevated tracer uptake in fibroblast activation protein–specific PET/CT
Targeting fibroblast activation protein (FAP) is a new diagnostic approach allowing the visualization of tumor stroma. Here, we applied FAP-specific PET imaging to gliomas. We analyzed the target affinity and ...
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Article
Open AccessMITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging – design, implementation and application on the example of DCE-MRI
Many medical imaging techniques utilize fitting approaches for quantitative parameter estimation and analysis. Common examples are pharmacokinetic modeling in dynamic contrast-enhanced (DCE) magnetic resonance...
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Article
Open AccessFeasibility and robustness of dynamic 18F-FET PET based tracer kinetic models applied to patients with recurrent high-grade glioma prior to carbon ion irradiation
The aim of this study was to analyze the robustness and diagnostic value of different compartment models for dynamic 18F-FET PET in recurrent high-grade glioma (HGG). Dynamic 18F-FET PET data of patients with rec...
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Article
Open AccessImpact of 18F-FET PET on Target Volume Definition and Tumor Progression of Recurrent High Grade Glioma Treated with Carbon-Ion Radiotherapy
High-precision radiotherapy (HPR) of recurrent high grade glioma (HGG) requires accurate spatial allocation of these infiltrative tumors. We investigated the impact of 18F-FET PET on tumor delineation and progres...
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Article
Simultaneous whole-body 18F–PSMA-1007-PET/MRI with integrated high-resolution multiparametric imaging of the prostatic fossa for comprehensive oncological staging of patients with prostate cancer: a pilot study
The aim of the present study was to explore the clinical feasibility and reproducibility of a comprehensive whole-body 18F–PSMA-1007-PET/MRI protocol for imaging prostate cancer (PC) patients.
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Article
Open AccessTime-dependent parameter of perfusion imaging as independent predictor of clinical outcome in symptomatic carotid artery stenosis
Carotid artery stenosis is a frequent cause of ischemic stroke. While any degree of stenosis can cause embolic stroke, a higher degree of stenosis can also cause hemodynamic infarction. The hemodynamic effect ...
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Chapter
Challenges of Open Data in Medical Research
The success of modern, evidence based and personalized medical research is highly dependent on the availability of a sufficient data basis in terms of quantity and quality. This often also implies topics like ...
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Chapter and Conference Paper
MatchPoint: On Bridging the Innovation Gap between Algorithmic Research and Clinical Use in Image Registration
Registration is a basic and crucial step in many clinical image processing tasks. Despite its importance, the evaluation of registration algorithms and transfer into clinical practice are still serious problem...
