Sie befinden sich hier

Inhalt

Open Positions

PhD position: Multi-parametric magnetic resonance imaging atlas of the abdomen

PhD position: Multi-parametric magnetic resonance imaging atlas of the abdomen (PDF)

Institution: Computer Assisted Clinical Medicine, Heidelberg University, Germany

Start date: flexible
Duration: 3 years
Posted: January 2022

Project Description:
Magnetic Resonance Imaging (MRI) allows non-invasive investigation of tissue structure and function, yielding valuable information for diagnosis and monitoring of diseases. Especially the combination of multiple contrasts achievable using MRI (e.g. T1, T2, perfusion, diffusion) allow a more complete assessment, making multi-parametric MRI central in current research. MR Image analysis often relies on anatomical atlases for segmentation and registration but such atlases, usually based on population-averaged data, have so far mainly been focused on the brain and not on other organs. The goal of this project is to create an MRI atlas of the abdomen (including stomach, liver, spleen, kidneys, spine). The project will involve the development of a pipeline to synthetically generate MR data using MR signal equations, tissue properties from literature values or own measurements, and realistic organ delineations from CT atlases. Measurements can be performed on clinical 1.5T and 3T whole body MRI systems (Siemens). Close collaborations with clinicians of the University Hospital Mannheim and other researchers are strongly encouraged.

Profile:
Master degree in physics, computer science, mathematics, biomedical engineering or a related field; basic knowledge of a programming language is required; willingness to learn programming languages such as MATLAB and C++ as well as an affinity towards practical measurements are expected; basic knowledge of MRI physics is a plus.

Working Environment:
Our group is composed of more than twenty scientists from physics, electrical engineering, medicine and computer science and is working in close co-operation with the local medical departments. We are developing new imaging techniques and translate them with our clinical partners into daily practice. In particular, we are doing basic research on the development of novel MR-techniques for measuring perfusion, diffusion, BOLD + oxygenation, and sodium in the human brain or other organs like kidney, lung, liver or heart. Beside this we are developing molecular innovative imaging technologies by fusion of several imaging modalities (CT, MRI, PET) to enable image-guided, high-precision interventions using high-end CT and robotic systems (ZEEGO, Siemens).

Interested?
If you enjoy working in an interdisciplinary, young, creative and open team, we are looking forward to your application! For more information on the project or for application please contact:

Project leader:
Irène Brumer
Group Leader "Tissue Structure and Function",
Computer Assisted Clinical Medicine (CKM),
Mannheim Institute for Intelligent Systems in Medicine (MIISM),
Medical Faculty Mannheim,
Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Phone +49 (0)621 383 5120
irene.brumer@medma.uni-heidelberg.de
www.umm.uni-heidelberg.de/miism/computer-assisted-clinical-medicine/

Director:
Prof. Dr. rer. nat. Lothar Schad
Chair in Computer Assisted Clinical Medicine
Medical Faculty Mannheim, Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Germany
Phone +49 (0)621/383-5121
lothar.schad@remove-this.medma.uni-heidelberg.de
www.umm.uni-heidelberg.de/miism/computer-assisted-clinical-medicine/


PhD position: Perfusion MRI - Arterial Spin Labelling

PhD position: Perfusion MRI - Arterial Spin Labelling (PDF)

Institution: Computer Assisted Clinical Medicine, Heidelberg University, Germany

Start date: flexible
Duration: 3 years
Posted: January 2022

Project Description:
Due to its non-invasive nature, arterial spin labelling (ASL) is a valuable technique for perfusion quantification especially in
patients with poor kidney function or requiring multiple followups. Recent efforts to review and summarise current advances in the field of ASL MRI highlight relevant areas where further investigation would be beneficial. Improvements in sequence design, data acquisition, postprocessing and evaluation of the technique in patient cohorts can be considered for this PhD project. Measurements in phantoms, volunteers and patients can be performed on clinical 1.5 T and 3 T whole body MRI systems (Siemens) as well as on a state-of-the-art preclinical 9.4 T animal scanner (Bruker). Close collaborations with clinicians of the University Hospital Mannheim and other researchers are strongly encouraged.

Profile:
Master degree in physics, computer science, mathematics, biomedical engineering or a related field; basic knowledge of a programming language is required; willingness to learn programming languages such as MATLAB and C++ as well as an affinity towards practical measurements are expected; basic knowledge of MRI physics is a plus.

Working Environment:
Our group is composed of more than twenty scientists from physics, electrical engineering, medicine and computer science and is working in close co-operation with the local medical departments. We are developing new imaging techniques and translate them with our clinical partners into daily practice. In particular, we are doing basic research on the development of novel MR-techniques for measuring perfusion, diffusion, BOLD + oxygenation, and sodium in the human brain or other organs like kidney, lung, liver or heart. Beside this we are developing molecular innovative imaging technologies by fusion of several imaging modalities (CT, MRI, PET) to enable image-guided, high-precision interventions using high-end CT and robotic systems (ZEEGO, Siemens).

Interested?
If you enjoy working in an interdisciplinary, young, creative and open team, we are looking forward to your application! For more information on the project or for application please contact:

Project leader:
Irène Brumer
Group Leader "Tissue Structure and Function",
Computer Assisted Clinical Medicine (CKM),
Mannheim Institute for Intelligent Systems in Medicine (MIISM),
Medical Faculty Mannheim,
Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Phone +49 (0)621 383 5120
irene.brumer@remove-this.medma.uni-heidelberg.de
www.umm.uni-heidelberg.de/miism/computer-assisted-clinical-medicine/

Director:
Prof. Dr. rer. nat. Lothar Schad
Chair in Computer Assisted Clinical Medicine (CKM),
Medical Faculty Mannheim,
Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Phone +49 (0)621/383-5121
lothar.schad@remove-this.medma.uni-heidelberg.de
www.umm.uni-heidelberg.de/miism/computer-assisted-clinical-medicine/


PhD position: Diffusion MRI

PhD position Diffusion MRI (PDF)

Institution: Computer Assisted Clinical Medicine, Heidelberg University, Germany

Start date: flexible
Duration: 3 years
Posted: January 2022

Project Description:
Diffusion weighted imaging (DWI) is a powerful sub-discipline in magnetic resonance imaging (MRI), which reveals information about the examined tissue on a level far beyond spatial resolutions of conventional MR techniques by being sensitive to the diffusive processes of water molecules. This allows the study of biological tissue down to the scale of cell sizes, which can play an important role in the prognosis, diagnosis and therapy control of various pathologies. The project includes advanced MRI sequence design and post-processing of the acquired data both on a fundamental research level and in an applied clinical context. Measurements in phantoms, volunteers and patients can be performed on clinical 1.5 T and 3 T whole body MRI systems (Siemens) as well as on a state-of-the-art preclinical 9.4 T animal scanner (Bruker). Close collaborations with clinicians of the University Hospital Mannheim and other researchers are strongly encouraged.

Profile:
Master degree in physics, computer science, mathematics, biomedical engineering or a related field; basic knowledge of a programming language is required; willingness to learn programming languages such as MATLAB and C++ as well as an affinity towards practical measurements are expected; basic knowledge of MRI physics is a plus.

Working Environment:
Our group is composed of more than twenty scientists from physics, electrical engineering, medicine and computer science and is working in close co-operation with the local medical departments. We are developing new imaging techniques and translate them with our clinical partners into daily practice. In particular, we are doing basic research on the development of novel MR-techniques for measuring perfusion, diffusion, BOLD + oxygenation, and sodium in the human brain or other organs like kidney, lung, liver or heart. Beside this we are developing molecular innovative imaging technologies by fusion of several imaging modalities (CT, MRI, PET) to enable image-guided, high-precision interventions using high-end CT and robotic systems (ZEEGO, Siemens).

Interested?
If you enjoy working in an interdisciplinary, young, creative and open team, we are looking forward to your application! For more information on the project or for application please contact:

Project leader:
Irène Brumer, M.Sc.
Group Leader "Tissue Structure and Function", Computer Assisted Clinical Medicine (CKM),
Mannheim Institute for Intelligent Systems in Medicine (MIISM)
Medical Faculty Mannheim, Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Phone +49 (0)621 383 5120
irene.brumer@remove-this.medma.uni-heidelberg.de
www.umm.uni-heidelberg.de/miism/computer-assisted-clinical-medicine/

Director:
Prof. Dr. rer. nat. Lothar Schad
Chair in Computer Assisted Clinical Medicine (CKM)
Mannheim Institute for Intelligent Systems in Medicine (MIISM)
Medical Faculty Mannheim, Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Phone +49 (0)621/383-5121
lothar.schad@remove-this.medma.uni-heidelberg.de
www.umm.uni-heidelberg.de/miism/computer-assisted-clinical-medicine/


PhD Position in Preclinical MRI with a MR-Compatible Bioreactor System

PhD Position in Preclinical MRI with a MR-Compatible Bioreactor System (PDF)

Institution: Computer Assisted Clinical Medicine, Heidelberg University, Germany

Start date: flexible
Duration: 3 years

Profile:
Master’s degree in physics, biophysics, biology, physical chemistry, biomedical engineering or a related field; affinity towards careful experimental work is expected; basic knowledge of a programming language (e. g. MATLAB, python or C++) is required; prior experience with cell cultures or biological samples and basic knowledge in MR physics is a plus.

Project Description:
Sodium magnetic resonance imaging, especially the sodium tripe quantum (TQ) signal, with its unique sensitivity to the intracellular environment is a promising tool to investigate cell viability. While conventional proton MRI is able to study macroscopic changes, sodium TQ signal has the potential to detect early physiological changes. To further deepen our understanding of the TQ signal on a cellular level, correlations of TQ signal changes with cellular processes is necessary. Our novel, cutting-edge MR-compatible bioreactor system developed in close collaboration with the Karlsruhe Institute of Technology (KIT) enables to study physiological changes in 3D cell cultures within a finely controlled environment. This unique feature is a prerequisite in translational approaches to implement sodium TQ signal in the preclinical/clinical trials. The project continues our work by the development and improvement of TQ pulse sequence and reconstruction techniques with cutting-edge technology to further leverage the potential of TQ signal to study cellular processes using bioreactor system. Ground-breaking experiments will deepen our understanding of TQ signal changes in different pathologies using our Bruker 9.4T preclinical MRI system and 21.1 T MRI system at the National High Magnetic Field Laboratory (MagLab (FSU); Florida, USA). Close collaboration with our cooperation partners at the KIT, MagLab, ZI, clinicians of the University Medical Center Mannheim and other researchers is expected.

Working Environment:
Our group is composed of more than twenty scientists from physics, electrical engineering, medicine and computer science and is working in close co-operation with the local medical departments. We are developing new imaging techniques and translate them with our clinical partners into daily practice. In particular, we are doing basic research on the development of novel MR-techniques for measuring perfusion, diffusion, BOLD+ oxygenation, and sodium in the human brain or other organs like lung, liver or heart. Tasks include the development and improvement of the bioreactor system as well as the implementation of novel MRI and MRS techniques at a smallbore animal system 9.4 T (Bruker). Beside this we are developing molecular innovative imaging technologies by fusion of several imaging modalities (CT, MRI, PET) to enable image-guided, high-precision interventions using high-end CT and robotic systems (ZEEGO, Siemens). Ongoing collaborations with other researchers involve the Central Institute of Mental Health (ZI, Mannheim), the German Cancer Research Centre (DKFZ, Heidelberg), the Karlsruhe Institute of technology (KIT, Karlsruhe), the National High Magnetic Field Laboratory (Maglab, Tallahassee, Florida) and across Europe with multiple opportunities to visit leading international laboratories and to attend taught schools.

Interested?
If you enjoy working in an interdisciplinary, young, creative and open team, we are looking forward to your application! For more information on the project or for application please contact:

Project leader:
MSc. Simon Reichert
Computer Assisted Clinical Medicine
Medical Faculty Mannheim, Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Germany
Phone +49 (0)621/383-5128
simon.reichert@remove-this.medma.uni-heidelberg.de
www.umm.uni-heidelberg.de/miism/computer-assisted-clinical-medicine/

Director:
Prof. Dr. rer. nat. Lothar Schad
Chair in Computer Assisted Clinical Medicine
Medical Faculty Mannheim, Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Germany
Phone +49 (0)621/383-5121
lothar.schad@remove-this.medma.uni-heidelberg.de
www.umm.uni-heidelberg.de/miism/computer-assisted-clinical-medicine/


Bachelor / Master Thesis in Deep Learning Image Segmentation / Normalization

Bachelor / Master Thesis in Deep Learning Image Segmentation / Normalization (PDF)

Institution: Computer Assisted Clinical Medicine, Heidelberg University, Germany

Start date: flexible
Duration: flexible, 3 months – 1 year

Project Description:
The goal of the project is to develop an image-processing pipeline using radiomics and deep learning with the response and outcome predication in locally advanced rectal cancer as an example case. We have T2 and diffusion MR images and medical outcomes for about 170 patients, which need to be normalized and segmented, before they can be classified. The data is already preprocessed, so you would get to do the fun parts of deep learning.
There are a couple of potential projects that would be suitable for a bachelor or master thesis or a lab project. For a smaller project, an existing network could be adapted for the dataset. As a larger project, you could implement your own network for normalization or segmentation. MRI data is usually 3D, so most standard networks need to be adapted.
Other projects are the detection of artefacts/image quality or the registration of images. If you want to do something with deep learning, we should be able to find a project with the right scope for you. You are also welcome to come up with your own topics.

Working Environment:
Our group is composed of more than thirty scientists from physics, electrical engineering, medicine and computer science and is working in close co-operation with the local medical departments. We are developing new imaging techniques and translate them with our clinical partners into daily practice. In particular, we are doing basic research on the development of novel MR-techniques for measuring perfusion, diffusion, BOLD + oxygenation, and sodium in the human brain or other organs. Furthermore, we research on methods to automatically analyze the acquired data by means of medical image processing and pattern recognition using machine learning techniques to quantify the measured physiological parameters. We also recently got a new deep learning workstation with more than enough computational power.

Interested?
If you enjoy working in an interdisciplinary, young, creative and open team, we are looking forward to your application! For more information on the project or for application please contact:

Project leader:
Steffen Albert
Computer Assisted Clinical Medicine
Medical Faculty Mannheim, Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Phone +49 (0)621/383-5129
steffen.albert@medma.uni-heidelberg.de
www.umm.uni-heidelberg.de/miism/computer-assisted-clinical-medicine/

Director:
Prof. Dr. rer. nat. Lothar Schad
Chair in Computer Assisted Clinical Medicine
Medical Faculty Mannheim, Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Phone +49 (0)621/383-5121
lothar.schad@remove-this.medma.uni-heidelberg.de
www.umm.uni-heidelberg.de/miism/computer-assisted-clinical-medicine/


Internship

Praxissemester: In-house certification of software

Praxissemester: In-house certification of software (PDF)

Institution: Computer Assisted Clinical Medicine, Heidelberg University, Germany

Start date: flexible, as soon as possible
Duration: 100 days attendance

Profile:
Applicants will be B. Sc. candidates in (medical) computer science, medical technology, biomedical engineering or a related field, basic knowledge of a medical imaging and software development. Knowledge in software certification is a plus.

Project Description:
Within the Research Campus M2OLIE (www.m2olie.de) our group investigates new imaging techniques for image guided interventions including image fusion from different modalities, i.e. using image registration techniques. Currently, we have an image registration prototype to be used within clinical studies with M2OLIE in near future, registering CT images to interventional CBCT imaging. To translate this software, we are seeking for a person to help with an in-house certification procedure with respect to the current medical device regulation (MDR). The candidate will be responsible for this process from initial planning towards execution of the different steps (documentation, risk management, quality management, etc) in close collaboration with the team and collaborators in the research campus. Experience in in-house certification of software and hardware exist in our group, e. g. see UMMPerfusion (www.opossumm.de/projects/ummperfusion).

Working Environment:
Our group is composed of more than thirty scientists from physics, electrical engineering, medicine and computer science and is working in close co-operation with the local medical departments. We are developing new imaging techniques and translate them with our clinical partners into daily practice. In particular, we are doing basic research on the development of novel MR-techniques for measuring perfusion, diffusion, BOLD + oxygenation, and sodium in the human brain or other organs like lung, liver or heart. Beside this we are developing molecular innovative imaging technologies by fusion of several imaging modalities (CT, MRI, PET) to enable image-guided, high-precision interventions using high-end CT and robotic systems (ZEEGO, Siemens).  

Interested?
If you enjoy working in an interdisciplinary, young, creative and open team, we are looking forward to your application! For more information on the project or for application please contact:

Project leader:
Prof. Dr. Frank Zöllner
Computer Assisted Clinical Medicine
Medical Faculty Mannheim, Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Phone +49 (0)621/383-5117
frank.zoellner@medma.uni-heidelberg.de
www.umm.uni-heidelberg.de/miism/computer-assisted-clinical-medicine/

Director:
Prof. Dr. rer. nat. Lothar Schad
Chair in Computer Assisted Clinical Medicine
Medical Faculty Mannheim, Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Phone +49 (0)621/383-5121
lothar.schad@remove-this.medma.uni-heidelberg.de
www.umm.uni-heidelberg.de/miism/computer-assisted-clinical-medicine/