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The University of Southampton
Institute for Life Sciences

Pulmonary Radiomics – A Thematic Afternoon Event

Wellcome images
12:45 - 16:45
18 November 2016
Room LF8, Level F, South Academic Block, Southampton General Hospital

For more information regarding this event, please email Dr. Michael J. Bennett MIET MInstP at c/o .

Event details

We would like to invite researchers, clinicians and students from across the University of Southampton and University Health Service sites with an interest in quantitative lung imaging to attend a thematic afternoon on the topic of pulmonary radiomics. Attendees will have the opportunity to hear about recent developments in the field of pulmonary radiomics at Southampton, including the launch of the Southampton Respiratory Image Analysis Service (full programme below).


Radiomics is a state-of-the-art innovation in medical image analysis. It uses images from multiple imaging modalities, such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and Single Photon Emission Computed Tomography (SPECT) and processes them to generate quantitative, high-dimensional and mineable data. Applied to lung imaging, the technique of Radiomics offers the potential to give clinicians and researchers greater insight into the pathophysiology of lung diseases, enable more accurate tracking of disease progression and facilitate the development of new therapies.


12.45 Welcome and overview of Pulmonary Radiomics

13.00 Dr Michael Bennett – The Southampton Respiratory Image Analysis Service and Pulmonary Radiomics Software

13.40 Dr Francisco Belchi – Designing radiomic features using persistent homology

14.00 Prof Neil Bressloff – Opportunities for CFD in Pulmonary Radiomics

14.20 Dr Maria Liljeroth – Filling the void – The development of modern lung MRI

14.40 Break

15.00 Prof Joy Conway – Imaging of Mucociliary Clearance

15.20 Dr Mark Jones – Multi-scale imaging of the lung

15.40 Group Discussion

16.15 Final Remarks and Future Directions


Image: Wellcome Images, unhealthy bronchial surface, credit: David Gregory and Debbie Marshall, Creative Commons Licence 4.0.

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