Rafael Christian Schick

Offered Bachelor’s or Master’s Theses Topics

Dark-field Chest X-ray Imaging: Advanced image processing for clinical applications

Dark-field radiography exploits the scattering of X-rays to visualize structures below the resolution limit. Currently, several initial clinical patient studies are underway on a worldwide first prototype we recently realized at Klinikum rechts der Isar. Within the framework of this project, the special algorithms for image post-processing of these first clinical data will be further optimized and used together with the participating radiologists for the evaluation of better direction of lung diseases.

Character of thesis work: mainly computational physics & image processing

For more information, please contact: Rafael Schick (rafael.schick@tum.de) or Franz Pfeiffer (franz.pfeiffer@tum.de).

suitable as

• Master’s Thesis Biomedical Engineering and Medical Physics

Supervisor: Franz Pfeiffer

Dark-field Chest X-ray Imaging: Advanced image processing for clinical applications

Dark-field radiography exploits the scattering of X-rays to visualize structures below the resolution limit. Currently, several initial clinical patient studies are underway on a worldwide first prototype we recently realized at Klinikum rechts der Isar. Within the framework of this project, the special algorithms for image post-processing of these first clinical data will be further optimized and used together with the participating radiologists for the evaluation of better direction of lung diseases.

Character of thesis work: mainly computational physics & image processing

For more information, please contact: Rafael Schick (rafael.schick@tum.de) or Franz Pfeiffer (franz.pfeiffer@tum.de).

suitable as

• Master’s Thesis Applied and Engineering Physics

Supervisor: Franz Pfeiffer

Dark-field Chest X-ray Imaging: Development of registration algorithms for the analysis of functional lung images

Dark-field radiography exploits the scattering of X-rays to reveal structures in lung tissue that cannot be visualized with conventional imaging. Currently, several initial clinical patient studies are underway on a worldwide first prototype we recently realized at Klinikum rechts der Isar. Within the scope of this project, special registration algorithms are to be developed that can register thorax images in inhalation and exhalation and allow local differences between ventilation states (for example in certain lung diseases).

Character of thesis work: mainly computational physics & image processing

For more information, please contact: Rafael Schick (rafael.schick@tum.de) or Franz Pfeiffer (franz.pfeiffer@tum.de).

suitable as

• Master’s Thesis Applied and Engineering Physics

Supervisor: Franz Pfeiffer

Dark-field Chest X-ray Imaging: Development of registration algorithms for the analysis of functional lung images

Dark-field radiography exploits the scattering of X-rays to reveal structures in lung tissue that cannot be visualized with conventional imaging. Currently, several initial clinical patient studies are underway on a worldwide first prototype we recently realized at Klinikum rechts der Isar. Within the scope of this project, special registration algorithms are to be developed that can register thorax images in inhalation and exhalation and allow local differences between ventilation states (for example in certain lung diseases).Character of thesis work: mainly computational physics & image processing

For more information, please contact: Rafael Schick (rafael.schick@tum.de) or Franz Pfeiffer (franz.pfeiffer@tum.de).

suitable as

• Master’s Thesis Biomedical Engineering and Medical Physics

Supervisor: Franz Pfeiffer