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
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
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