PhD position on “Clinical implementation of MRI and CBCT based adaptive radiation oncology”

About the Project

This research project will focus on different pillars: (1) Evaluation of the use of MRI and CBCT in an adaptive treatment protocol for head and neck cancer patients ; (2) Clinical implementation and evaluation of MRI-guided adaptive brachytherapy for anal and rectal cancer; (3) Inclusion of CBCT image information in daily clinical routine employing deep-learning-based models for organ segmentation and workflow development

Key Responsibilities

1. Workflow development

• Contributing to clinical protocols for CBCT and X-ray based treatment adaptation

• Script development for automating clinical workflows

2. Clinical studies

• Participation in retrospective and prospective clinical studies

• Interdisciplinary collaboration with radiation oncology, radiology and medical physics.

• Organisation, support and supervision of the implementation of the clinical studies including patient monitoring.

3. Data analysis and validation

• Evaluation of CBCT-based autosegmentation

• Analysis and processing of longitudinal MRI data

• Radiotherapy treatment plan comparison

Qualifications

• MSc or equivalent degree in biomedical engineering, physics, medical informatics or other technology-oriented medical studies.

• Research interest for MRI in radiation oncology, image-guided adaptive radiotherapy, clinical workflow development

• Skills in data management and basic statistical methods required, basic knowledge in radiation oncology and radiology recommended, experience in image analysis and processing preferred.

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