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Elisabetta Cagni

Research student,


I have am a medical physics and i currently work at the AUSL-IRCCS Hospital ( Reggio Emilia (Italy)), in medical physics and radiotherapy unit since 2009.

I obtained my master degree in Physics at the University of Bologna in 2003. I carried out my master project in the group of Bioelectromagnetism at the University of Bologna. My thesis was titled: "Simplified Model of Ion Channel: a computational approach”.

In 2007 I specialised in medical physics through a 4 years postgraduate course at the University of Bologna. During my post graduate studies, I performed research on the dosimetry of complex radiation therapy treatment with different detectors, at ASMN. My thesis title was "Dosimetric Verification of Intensity Modulated Arc Treatments (IMAT) with an EPID detector”.

My work as medical physics focused on radiotherapy treatment planning and in particular on the implementation and development of artificial intelligence in clinical practice.

Since October 2017 I am a in a in-work PhD student at Cardiff Universiy (Engenireen school). My research project is focused on Automated planning for image-guided radiotherapy .


Research interests

Automated planning for image-guided radiotherapy   

(AIRPLAN: Automated Image-guided Radiotherapy PLANning)

Supervisors: Dr. Emiliano Spezi (ENGIN), Prof Geraint Lewis (ENGIN)

This PhD research project is being performed in collaboration with the Medical Physics Unit and Radiotherapy Department of AUSL-IRCCS, Reggio Emilia (Italy), where i am working as a medical physicist.  One main part of the project is related to a multicentre observational clinical study that involve AUSL-RE Hospital, Erasmus Institute (Rotterdam, The Netherlands), Modena and Reggio University (UniMORE) (Reggio Emilia (Italy)) and Cardiff University.

The main points of the research are the following:

  1. Automated treatment planning: Knowledge based tools, Multicriteria optimisation, Pareto solution, inter and intra observer treatment plan evaluation.

  2. Adaptive Radiotherapy: Deformable Image Registration algorithms and Automated re-planning.