Florence Muller

About

Florence Muller (Belgian Luxembourger, born in 1997) obtained her Master of Engineering degree in Mechanical and Materials Engineering from the University of Birmingham (UK) in July 2020. On graduation, she was awarded the Ray Smallman prize for best academic performance. During her undergraduate studies in Birmingham, her master thesis, supported by Rolls-Royce plc., explored very advanced techniques of predictive modelling for crack growth behaviour in turbine disc alloys of aeroengines. In 2020-2022, Florence pursued a Master of Science in Biomedical Engineering at Ghent University (Belgium). Here, she worked with the Medical Image and Signal Processing (MEDISIP) group for her master thesis “Dose reduction and image enhancement in micro-CT using deep learning”. In recognition of her thesis work, she received the Biomedical Excellence Award and won the 2022 IE-net prize (awarded by the Flemish Association of Engineering) and the 2023 Jozef Plateauprize (awarded by the alumni association of engineers from Ghent University). In August 2022, she joined the MEDISIP group as a PhD student in Biomedical Engineering (with promotors: prof. Stefaan Vandenberghe and prof. Christian Vanhove). Her PhD work “Deep Learning-Enhanced 4D Total-Body PET Imaging” is funded by the Research Foundation Flanders (FWO). She spent the first year of her PhD abroad at the University of Pennsylvania (Philadelphia, U.S.A.) as part of the Physics and Instrumentation Group under the mentorship of prof. Joel Karp and dr. Margaret Daube-Witherspoon. As a visiting research scholar, she was jointly funded by the Fulbright Commission and the Belgian American Educational Foundation. In her PhD, Florence is working on the development of deep learning strategies for image processing (denoising in 3D/4D) and data corrections, aiming for PET-CT dose reduction (e.g., CT-less attenuation correction in PET). Her scientific interests include the integration of artificial intelligence methods into image generation and processing to obtain more quantitatively accurate PET and CT image for clinical and preclinical applications. Her research projects have, so far, resulted in five A1 publications and fifteen conference contributions (8 posters, 7 orals) as first author.

Work

University of Pennsylvania
|

Research Fellow

US

→

Ghent University Hospital
|

Student Intern

Belgium

→

Goodyear Dunlop Tires Operations SA
|

Student Intern

Luxembourg

→

Dupont de Nemours Luxembourg sarl
|

Student Intern

Luxembourg

→

Education

Ghent University. Institute of Biomedical Engineering and Technology
Belgium

→

PhD Biomedical Engineering

Ghent University
Belgium

→

Master of Science in Biomedical Engineering

University of Birmingham
United Kingdom of Great Britain and Northern Ireland

→

Master of Engineering in Mechanical and Materials Engineering (Joint Honors)

Lycée Michel Rodange
Luxembourg

→

Diplôme de Fin d’Études secondaires

Publications

Impact of deep learning denoising on kinetic modelling for low-dose dynamic PET: application to single- and dual-tracer imaging protocols

Published by

European Journal of Nuclear Medicine and Molecular Imaging

Summary

journal-article

Deep Learning for Denoising and Super-Resolution in Low-Resolution Micro-MRI for Mouse Imaging: Achieving Shorter Scan Times

Published by

20th European Molecular Imaging Meeting

Summary

conference-paper

Deep learning based sinogram inpainting of sparse-view (rectangular) CT data

Published by

Bern AI Radiotherapy (BART) Symposium

Summary

conference-paper

Evaluating Motion Patterns for Upright Patient Positioning in the Walk-Through PET: A Clinical Study

Published by

23rd Symposium of Belgian Association of Nuclear Medicine

Summary

conference-paper

Object-Based Phantom Training for Deep Learning Denoising of Micro-CT Scans: A Comparison with Mouse Image-Based Models

Published by

20th European Molecular Imaging Meeting

Summary

conference-paper

Quantitative analysis of patient motion in walk-through PET scanner and standard axial field of view pet scanner using infrared-based tracking

Published by

EJNMMI Physics

Summary

journal-article

Image Denoising of Low-Dose PET Mouse Scans with Deep Learning: Validation Study for Preclinical Imaging Applicability

Published by

Molecular Imaging and Biology

Summary

journal-article

CT Scout Scans with Deep Learning for Ultra-low Dose Attenuation Correction in PET

Published by

2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)

Summary

conference-paper

CT-guided Deep Learning Denoising of Low-Dose Micro-PET forIntraoperative Breast Cancer Specimen Imaging

Published by

37th Annual Congress of the European Association of Nuclear Medicine

Summary

conference-paper

Combined long axial field-of-view PET and Spectral CT to enable innovative scan protocols for improved quantification in oncology

Published by

Annual Meeting 2024 RSNA (Radiological Society of North America)

Summary

conference-paper

Deep Learning Denoising for Low-Dose Dual-Tracer Protocol with 18F-FGln and 18F-FDG in Breast Cancer Imaging

Published by

Journal of Nuclear Medicine

Summary

journal-article

Deep Learning Denoising in Patlak Parametric Imaging of Low-Dose Dynamic 18F-FDG Data using PennPET Explorer

Published by

Total-Body PET 2024

Summary

conference-paper

Deep Learning Image Denoising for a cost-effective WT-PET design with sparse detector coverage

Published by

10th Conference on PET, SPECT and MR Multimodal Technologies, Total Body and Fast Timing in Medical Imaging

Summary

conference-paper

Deep Learning enabled CT-less Attenuation and Scatter Correction for Multi-Tracer Whole-Body PET Imaging

Published by

Journal of Nuclear Medicine

Summary

journal-article

Different Deep Learning Training Strategies for Attenuation and Scatter Correction in PET

Published by

10th Conference on PET, SPECT and MR Multimodal Technologies, Total Body and Fast Timing in Medical Imaging

Summary

conference-paper

Exploring Motion Patterns of Subjects on a Mock-up Walk-Through Total Body PET using Infrared Localization

Published by

Total-Body PET 2024

Summary

conference-paper

Multi-modal spectral CT/PET dynamic phantom for flow quantification

Published by

Journal of Nuclear Medicine

Summary

journal-article

Walk-Through Flat-Panel Total-Body PET: System design simulations, deep learning and prototype measurements

Published by

37th Annual Congress of the European Association of Nuclear Medicine

Summary

conference-paper

Walk-through flat panel total-body PET: a patient-centered design for high throughput imaging at lower cost using DOI-capable high-resolution monolithic detectors

Published by

European Journal of Nuclear Medicine and Molecular Imaging

Summary

journal-article

Dose reduction and image enhancement in micro‐CT using deep learning

Published by

Medical Physics

Summary

journal-article

Cost-effective Total-Body PET with Axial and Transverse Gaps

Published by

2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD)

Summary

conference-paper

Deep Learning Dose Reduction Strategies for Attenuation Correction in PET Imaging

Published by

Nuclear Science Symposium and Medical Imaging Conference

Summary

conference-paper

Deep Learning based Image Enhancement for Sub-1MBq/Sub-1min 18F-FDG Total Body PET Mouse Imaging

Published by

18th Annual Meeting of the European Society of Molecular Imaging

Summary

conference-paper

Deep learning image denoising in PET: quantitative impact on kinetic modeling and clinical metrics

Published by

2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD)

Summary

conference-paper

The impact of single versus mixed noise level used in training images for AI-based denoising algorithms in micro-CT

Published by

18th Annual Meeting of the European Society of Molecular Imaging

Summary

conference-paper

Walk-through flat-panel total body PET: system design and comparison of body motion with a standard PET-CT

Published by

36th Annual Congress of the European Association of Nuclear Medicine

Summary

conference-paper

Dose Reduction and Image Enhancement in Micro-CT using Deep Learning

Published by

IEEE Nuclear Science Symposium and Medical Imaging Conference 2022 (Milan, Italy)

Summary

conference-poster

Modelling and predictions of time-dependent local stress distributions around cracks under dwell loading in a nickel-based superalloy at high temperatures

Published by

International Journal of Fatigue

Summary

journal-article

Dose reduction and image enhancement in preclinical TB-PET using deep learning

Published by

PET is Wonderful 2022 Annual Meeting (Edinburgh, Scotland)

Summary

conference-abstract

Efficient patient throughput and detector usage in low cost efficient Monolithic High resolution Walk-through Flat Panel Total Body PET

Published by

Total Body PET conference 2022 (Edinburgh, Scotland)

Summary

conference-abstract

Rigid Body Motion Analysis in Walk-Through Total Body PET scanner based on Real-Time Motion Tracking with Cameras: Comparative Study between Free-breathing and Breath-Hold

Published by

Total Body PET conference 2022 (Edinburgh, Scotland)

Summary

conference-poster

Performance evaluation of a micro-CT system for laboratory animal imaging with iterative reconstruction capabilities

Published by

Medical Physics

Summary

journal-article

Performance evaluation of the X-CUBE, a micro-CT system for laboratory animal imaging with iterative reconstruction capabilities

Published by

17th Annual Meeting of the European Society of Molecular Imaging (Thessaloniki, Greece)

Summary

conference-poster