At UWA, Medical Physics research is strongly aligned with improving treatment and diagnostic precision using localized and minimally invasive techniques that are aimed to improve patient outcomes.

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Studying Medical Physics at UWA provides an exceptional opportunity to learn in a department with strong commitment to research. The research component of this programme allows students to develop valuable skills for practising and interpreting research.

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Research opportunities are available for students. To submit an expression of interest for a research opportunity, fill out our form

 

Radiation Therapy (RT)

• Biological modelling of tumour and normal tissue dose responses

• Modelling the interaction of radiotherapy and immunotherapy

• Intensity Modulated Radiation Therapy (IMRT)

• 3D printing application in radiation therapy

• Intra-Operative Radiation Therapy (IORT)

• Deep learning for treatment optimization

• Image Guided Radiation Therapy (IGRT)

• Modelling, Simulation, and Prototyping

• Multi-centre/international comparisons

• Development of monitoring devices

• Assessment of impact of inaccuracy

• Treatment planning optimization

• Stereotactic Radiosurgery (SRS)

• Tracking patient/organ motion

• Treatment delivery accuracy

• QA on treatment equipment

• Small-animal radiotherapy

• Robotics applications

• Pre-clinical studies

• Immunotherapy

• 3-D dosimetry

• Drug studies

• CyberKnife

   

Nuclear Medicine (NM)

• Implementation of a SPECT quality phantom QA regime in a nuclear medicine department

• Creation of semi-automated image analysis tools for PET processing

• Image analysis, dosimetry and theranostics radiopharmaceuticals

 

Radiation Biology (RB)

• Bio-guided radiotherapy planning

• Simulation of cancer tissue

• Simulation of treatment effect

• Optimisation of treatment

• Patient-specific simulation

 

Radiation Protection (RP) and Medical Health Physics (MHP)

• Identification and Quantification of Radioisotopes with a HPGe Gamma Spectrometer

 

Diagnostic Imaging (DI)

• Realistic breast models for optimising electromagnetic gradiometric measurements

• Molecular imaging

• Bio-imaging with magnetic gradiometry

 

Other themes

• Clinical trials outcomes

• Biostatistics

• 3D data processing

• Machine learning methods