A5001989103- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Scientific Computing and Data Management
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Artificial Intelligence in Healthcare and Education
- Lung Cancer Diagnosis and Treatment
- Advanced X-ray and CT Imaging
- Medical Image Segmentation Techniques
- Biomedical Text Mining and Ontologies
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Distributed and Parallel Computing Systems
- Semantic Web and Ontologies
- Cell Image Analysis Techniques
- Advanced MRI Techniques and Applications
- Surgical Simulation and Training
- Advanced Neural Network Applications
- COVID-19 diagnosis using AI
- Medical Imaging and Analysis
- Photoacoustic and Ultrasonic Imaging
- Artificial Intelligence in Healthcare
- Hepatocellular Carcinoma Treatment and Prognosis
- Optical Imaging and Spectroscopy Techniques
- Advanced Radiotherapy Techniques
- Glioma Diagnosis and Treatment
German Cancer Research Center
2016-2025
Heidelberg University
2016-2025
University Hospital Heidelberg
2020-2025
University of Mannheim
2025
DKFZ-ZMBH Alliance
2007-2024
German Center for Lung Research
2023
Deutschen Konsortium für Translationale Krebsforschung
2020-2021
Berufsgenossenschaftliche Unfallklinik Ludwigshafen
2017
The aim of the Medical Imaging Interaction Toolkit (MITK) is to facilitate creation clinically usable image-based software. Clinically software for image-guided procedures and image analysis require a high degree interaction verify and, if necessary, correct results from (semi-)automatic algorithms. MITK class library basing on extending Insight (ITK) Visualization (VTK). ITK provides leading-edge registration segmentation algorithms forms algorithmic basis. VTK has powerful visualization...
Diffusion-MRI provides a unique window on brain anatomy and insights into aspects of tissue structure in living humans that could not be studied previously. There is major effort this rapidly evolving field research to develop the algorithmic tools necessary cope with complexity datasets.This work illustrates our strategy encompasses development modularized open software tool for data processing, visualization interactive exploration diffusion imaging aims at reinforcing sustainable...
PURPOSE Image analysis is one of the most promising applications artificial intelligence (AI) in health care, potentially improving prediction, diagnosis, and treatment diseases. Although scientific advances this area critically depend on accessibility large-volume high-quality data, sharing data between institutions faces various ethical legal constraints as well organizational technical obstacles. METHODS The Joint Imaging Platform (JIP) German Cancer Consortium (DKTK) addresses these...
Radiomics – The extraction of quantitative features from radiologic images shows increasing potential in contributing to modern personalized medicine approaches. MITK Phenotyping is an openly distributed radiomics framework implementing exhaustive set features, adhering most recent international standards, and supporting a variety different user interfaces programming languages.
Abstract Objectives To quantify regional manifestations related to COPD as anomalies from a modeled distribution of normal-appearing lung on chest CT using deep learning (DL) approach, and assess its potential predict disease severity. Materials methods Paired inspiratory/expiratory clinical data COPDGene COSYCONET cohort studies were included. served training/validation/test sets ( N = 3144/786/1310) external test set 446). differentiate low-risk (healthy/minimal disease, [GOLD 0]) patients...
Abstract Objectives Achieving a consensus on definition for different aspects of radiomics workflows to support their translation into clinical usage. Furthermore, assess the perspective experts important challenges successful workflow implementation. Materials and methods The was achieved by multi-stage process. Stage 1 comprised screening, retrospective analysis with semantic mapping terms found in 22 definitions, compilation an initial baseline definition. Stages 2 3 consisted Delphi...
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 (MRI)/computed tomography (CT), apparent diffusion coefficient calculations intravoxel incoherent motion diffusion-weighted MRI Z-spectra analysis chemical exchange saturation transfer MRI. Most available software tools limited to a special purpose do not allow own developments...
Background Chronic obstructive pulmonary disease (COPD) poses a substantial global health burden, demanding advanced diagnostic tools for early detection and accurate phenotyping. In this line, study seeks to enhance COPD characterization on chest computed tomography (CT) by comparing the spatial quantitative relationships between traditional parametric response mapping (PRM) novel self-supervised anomaly approach, unveil potential additional insights into dynamic transitional stages of...
We summarize Quantitative Imaging Informatics for Cancer Research (QIICR; U24 CA180918), one of the first projects funded by National Institute (NCI) Technology program.
Abstract Objectives To evaluate the performance and potential biases of deep-learning models in detecting chronic obstructive pulmonary disease (COPD) on chest CT scans across different ethnic groups, specifically non-Hispanic White (NHW) African American (AA) populations. Materials methods Inspiratory clinical data from 7549 Genetic epidemiology COPD individuals (mean age 62 years old, 56–69 interquartile range), including 5240 NHW 2309 AA individuals, were retrospectively analyzed. Several...
O442 Aims: The aim of this project is computer-based planning a partial organ resection for three dimensional visualization anatomical structures and volumetric estimations. Introduction: Using quantitative parameters the estimation operation risk, selection patients can be further objectified. Another important effect support surgical interventions by predefinition different scenarios. All preoperative analysis results are based on tomographic images acquired during clinical routine. In...
Due to rapid developments in the research areas of medical imaging, image processing and robotics, computer assistance is no longer restricted diagnostics surgical planning but has been expanded radiological interventions. From a software engineering point view, systems for image-guided therapy (IGT) are highly complex. To address this issue, we presented an open source extension well-known Medical Imaging Interaction Toolkit (MITK) developing IGT systems, called MITK-IGT. The contribution...