About LKEB

General Information

The Division of Image Processing, in Dutch abbreviated as the LKEB (Laboratorium voor Klinische en Experimentele Beeldverwerking), is a research group within the Department of Radiology, LUMC. The director of LKEB is Prof. Boudewijn P.F. Lelieveldt PhD.

We perform fundamental and applied research in the area of biomedical image processing and analysis. We execute extensive validation studies of the developed techniques, both technically and clinically. We aim to impact the healthcare system by bringing research results close to the clinic, through collaboration with clinicians as well as with industry.

While most of our research focuses on medical imaging, we are also interested in biological and genetic data. We have worked in particular on CT, MRI, IVUS and OCT imaging, in the brain, chest, heart, abdomen, vasculature and bones. In addition, we investigate highly heterogeneous data such as omics, imaging and mass-spectrometry combined, e.g. to produce new insights about structural and functional organization of the brain.

Methodologically we develop artificial intelligence and machine learning technologies such as deep  learning. We combine these with general computer science methods and mathematical modeling. Our work encompasses segmentation, registration, quantification, visualization, radiomics, etc.

To bring our research results close to a clinical end-user we develop high quality software. Our scientific programmers therefore work through a formalized Software Development Process (SDP), often in close collaboration with industry, in particular with Medis medical imaging systems BV. This has led to a number of commercially successful products, and spinoff to a number of large medical imaging vendors. The open source image registration software elastix is also maintained at LKEB. 

Research lines

Contact

For further information contact Prof. Boudewijn P.F. Lelieveldt PhD or through the secretariate (Anna-Carien van der Plas: +31 (0) 71 52 63935).

News

CZI funds further development of Elastix

CZI funds further development of Elastix

The Chan Zuckerberg Initiative (CZI) has funded several open source software projects in the field of biomedicine and Elastix is one of the recipients.

https://www.lumc.nl/over-het-lumc/nieuws/2021/september/een-zomer-vol-prijzen-en-subsidies/

https://github.com/SuperElastix/elastix/

Job Opportunity: PhD Candidate AI-based MR Reconstruction Methods Radiology

Job Opportunity: PhD Candidate AI-based MR Reconstruction Methods Radiology

The Radiology department, in collaboration with Philips Electronics, is looking for an ambitious PhD candidate with affinity for MRI techniques and artificial intelligence. Is this you? Then don’t hesitate to apply!

PhD-kandidaat-AI-gebaseerde-MR-reconstructie-Radiologie

Successful collaboration between LUMC and LIACS on AI for radiotherapy

Successful collaboration between LUMC and LIACS on AI for radiotherapy

Daily-adapted radiotherapy can help to more precisely target radiation dose to tumors compared to the current clinical practice, while avoiding radiosensitive organs-at-risk in the surrounding area. A main obstacle however is that new treatment plans need to be created every day, which is a manual and time-consuming process. A team from LUMC and LIACS recently created AI technology that can do this fully automatically with promising accuracy and in real-time.

https://www.universiteitleiden.nl/en/sails/news/2021/lumc–liacs-collaboration-success

Elastix/Napari plugin

Elastix/Napari plugin

There is now a @napari_imaging plugin for fast image registration based on ITKElastix, the python wrapper for Elastix.

Job opportunity: Postdoc Computational Oncology

Job opportunity: Postdoc Computational Oncology

We are looking for a postdoc for the division of Image Processing (LKEB), in collaboration with the department of Pathology (Molecular Tumour Genetics, research programs Bone and Soft Tissue Tumours and Immunogenomics). Do you want to contribute to groundbreaking cancer research, and are you experienced in computational approaches? Then you might be the postdoc we are looking for.

PhD defence: Paulien Stegehuis

PhD defence: Paulien Stegehuis

Paulien Stegehuis

Date:              Tuesday, 20 April 2021        
Time:             11:15 AM     
Venue:           online|Academy Building, Rapenburg 73, Leiden
Thesis title:   The use of optical techniques to guide cancer diagnosis and radical surgical resections

PhD defence: Arlin Keo

PhD defence: Arlin Keo

Arlin Keo

Date:             Thursday, 3 December 2020
Time:             11:15 AM
Venue:           online (https://www.universiteitleiden.nl/wetenschappers/livestream-promotie)
Thesis title:  Analyzing Spatial Transcriptomics and NeuroImaging data in Neurodegenerative Diseases

PhD defence: Zhiwei Zhai

PhD defence: Zhiwei Zhai


Zhiwei Zhai

Date:             Tuesday, 10 March 2020
Time:             11:15
Venue:           Academy Building, Rapenburg 73, Leiden
Thesis title:  Automatic Quantitative Analysis of Pulmonary Vessels in CT: Methods and Applications

PhD defence: Qing Cao

PhD defence: Qing Cao


Qing Cao

Date:             Tuesday, 21 January 2020
Time:             10:00 AM
Venue:           Academy Building, Rapenburg 73, Leiden
Thesis title:  Automated Analysis Approaches for Coronary CT Angiography

Challenge won

Challenge won


14 December 2019, a team of LKEB, Gorter Center and Philips won 2 tracks in the highly prestigious fastMRI reconstruction challenge organized by Facebook AI, using a deep learning method.

Nature Immunology

Nature Immunology


19 Februari 2019, Team Cytosplore (LUMC + TU Delft) publication highlighted on the March cover of Nature Immunology: Memory CD4+ T cells are generated in the human fetal intestine see this press release

PhD defence: Nicola Pezzotti

PhD defence: Nicola Pezzotti


Nicola Pezzotti

Date:             Monday, 8th April, 2019
Time:            10:00 h
Venue:          Senaatszaal of the Auditorium, Mekelweg 5, Delft
Thesis title: Dimensionality-Reduction Algorithms for Progressive Visual Analytics

PhD defence: Evgeni Aizenberg

PhD defence: Evgeni Aizenberg


Evgeni Aizenberg

Date:             Tuesday, 14 March 2019
Time:            13:45 h
Venue:          Academy Building, Rapenburg 73, Leiden
Thesis title: Computer-aided techniques for assessment of MRI-detected inflammation for early identification of inflammatory arthritis

Nvidia

Nvidia


24 January 2019, Our new, dedicated deep learning hardware arrived: a NVIDIA DGX station for state-of-the-art medical deep learning research @ LKEB

PhD defence: Yingguang Li

PhD defence: Yingguang Li


Yingguang Li

Date:             Tuesday, 9 October 2018
Time:            11:15h
Venue:          Academy Building, Rapenburg 73, Leiden
Thesis title: Fusion of X-ray angiography and Optical Coherence Tomography for coronary flow simulation

PhD defence: Shengan Liu

PhD defence: Shengan Liu


Shengan Liu

Date:             Tuesday 4 September 2018
Time:            16:15h
Venue:          Academy Building, Rapenburg 73, Leiden
Thesis title: Optical coherence Tomography for Coronary Artery Disease: Analysis and Applications

PhD defence: Yuchuan Qiao

PhD defence: Yuchuan Qiao


Yuchuan Qiao

Date:             Wednesday, November 1, 2017
Time:            10:00 h
Venue:          Academy Building, Rapenburg 73, Leiden
Thesis title: Fast Optimization Methods for Image Registration in Adaptive Radiation Therapy

  • Chair
  • Faculty
  • Former chair
  • PhD candidates
  • Scientific staff
  • Secretariat
  • Student
  • Technical staff
Laurens Beljaards

Laurens Beljaards

Introduction Laurens obtained his master's and bachelor's degrees in computer science at LIACS, Leiden University. After writing his master's thesis at the Division of Image Proce...
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Chang Li

Chang Li

Introduction Chang Li received her MSc degree in Mechanical Engineering at Leibniz University Hannover, Germany and her BSc degree in Aerospace Engineering at Beijing Institute ...
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Viktor van der Valk

Viktor van der Valk

Introduction I’m a scientific (Python) programmer in the LKEB group at the LUMC. In the LKEB group I’m working on the elastix image registration toolbox. In particular on elasti...
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Yunjie Chen

Yunjie Chen

Introduction I obtained Master degree in Biomedical Engineering from Shanghai Jiao Tong University, China in 2018. Since November 2020, I pursued PhD study focused on Quantitati...
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Test

Test

#primary { width: 90%; padding-left: 200px; } Introduction   Area(s) of interest   External activities   Researcher profiles   Key publications   C...
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Prerak Mody

Prerak Mody

Introduction Prerak Mody is pursuing his PhD on human-AI interaction for contour propagation in an adaptive radiotherapy context. Using machine learning methods, he is exploring...
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Li-Hsin Cheng

Li-Hsin Cheng

Introduction Li-Hsin Cheng received her Master's degree in Electrical Engineering from National Tsing Hua University, Taiwan. Since March 2020, she joined the Division of Image ...
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Anna-Carien

Anna-Carien

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Ahmed Mahfouz

Ahmed Mahfouz

I am a postdoctoral researcher in the Imaging Genetics section at the Radiology Department of Leiden University Medical Center. I am also a member of the Delft Bioinformatics Lab...
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Hans Reiber

Hans Reiber

Introduction Johan H.C. Reiber received his M.Sc. EE-degree from the Delft  University of Technology in 1971 and his M.Sc and Ph.D. from Stanford  University, USA in 1975 and 19...
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Denis Shamonin

Denis Shamonin

Introduction Denis P. Shamonin received master's degree in Applied Mathematics, St. Petersburg State Marine Technical University,Dept. of Applied Mathematics in 2002. After grad...
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Patrick de Koning

Patrick de Koning

Introduction Patrick de Koning obtained his Master of Science in Electrical Engineering in 1998 at the Delft University of Technology, Delft, The Netherlands. His Master’s thesi...
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Qian Tao

Qian Tao

Introduction Qian Tao received her BSc degree (with honors) in Electrical Engineering from Fudan University, Shanghai, China, in 2001. She received her MSc degree (with honors) ...
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Els Bakker

Els Bakker

Introduction M. Els Bakker studied Biology at the University of Leiden. She graduated in August 1983. From 1987-1991 she worked as PhD student at National Herbarium in Leiden ...
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Mohamed Hassan

Mohamed Hassan

Introduction Mohamed Kilany Hassan graduated from Biomedical Engineering department in Cairo University in 2008. He worked as a Research Assistance at Nile University for two ye...
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Jingnan Jia

Jingnan Jia

Introduction Jingnan Jia received his Bachelor degree of Applied Physics in July 2015, at Taiyuan University of Technology, and Master degree of Electromagnetic Fields and Waves...
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Kirsten Koolstra

Kirsten Koolstra

Introduction Kirsten studied Applied Mathematics at the Delft University of Technology (2010-2015) and worked during her master thesis on the modeling of electromagnetic fields ...
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Alexander Vieth

Alexander Vieth

...
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Irene Hernández Girón

Irene Hernández Girón

Introduction Dr. Irene Hernandez-Giron is a medical imaging researcher at the Division of Image Processing, working on advanced methods for image quality assessment combining 3D...
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Yichao Li

Yichao Li

...
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Marius Staring

Marius Staring

Introduction I am an associate professor in medical image analysis, working at the Leiden University Medical Center. I lead the Biomedical Machine Learning research line wit...
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Boudewijn Lelieveldt

Boudewijn Lelieveldt

Introduction Boudewijn P.F. Lelieveldt is professor of Biomedical Imaging at the Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands, where he is ...
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Rob van der Geest

Rob van der Geest

Introduction Rob J. van der Geest received his MSc degree in Electrical engineering from the Delft University of Technology in 1992. In his masters thesis he developed an automa...
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Oleh Dzyubachyk

Oleh Dzyubachyk

Introduction Oleh Dzyubachyk received a M.Sc. degree (cum laude) in Mathematics from Ivan Franko National University (Lviv, Ukraine) in 1998. In 2011 he obtained his PhD degree ...
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Berend Stoel

Berend Stoel

Introduction Dr. Berend C. Stoel is Associate Professor at the Division of Image Processing, heading the section of Pulmonary, Musculoskeletal & Ophthalmologic Imaging (...
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Jouke Dijkstra

Jouke Dijkstra

Introduction Dr. Dijkstra is associate Professor at LUMC-LKEB, where he is the leader of the "vascular and molecular imaging" section. He has been working at the division of ima...
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Alexander Broersen

Alexander Broersen

  Introduction Alexander Broersen is a scientific researcher in the section ‘vascular & molecular imaging’ in the division of image processing. He received his M.Sc....
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Niels Dekker

Niels Dekker

Introduction Niels Dekker is scientific programmer in the section Vascular and Molecular Imaging of the LKEB. In 1992, Niels obtained his Master of Science on Computer Scienc...
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Baldur van Lew

Baldur van Lew

Introduction Baldur van Lew received a B.A. in Natural Sciences (Physics) from King's College Cambridge in 1981. While working for the Burroughs Corporation he completed a postg...
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Michèle Huijberts

Michèle Huijberts

Introduction Michèle Huijberts obtained his Master of Medical Electrotechnical Engineering in 1992 at the Technical University Eindhoven, The Netherlands. After graduation he st...
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Leo Wolf

Leo Wolf

Introduction Leo Wolf was originally educated as an electrical engineer on college level (Dutch: HTS). Later he studied computer science at LIACS, Leiden University. He worked a...
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Jeroen Eggermont

Jeroen Eggermont

Introduction Jeroen Eggermont is a scientific researcher in the section ‘vascular & molecular imaging’ in the division of image processing. He received his M.Sc. degree in c...
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Thomas Kroes

Thomas Kroes

Introduction Thomas Kroes works as postdoctoral researcher at the Division of Image Processing at the Leiden University Medical Center. During his PhD, he worked in the field of...
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Xiaowu Sun

Xiaowu Sun

Introduction Xiaowu Sun earned his Master degree of Software Engineering in June 2018, at the Capital Normal University, China. His master thesis is “Protein complexes predictio...
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Arlin Keo

Arlin Keo

...
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Hessam Sokooti

Hessam Sokooti

Introduction Hessam Sokooti Oskooyi earned a bachelor’s degree in Electrical Engineering at University of Tehran in September 2011. He finished his Master thesis “Fluorescein an...
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Antonios Somarakis

Antonios Somarakis

Introduction Antonios Somarakis received his Diploma (MSc equivalent) in Electrical & Computer engineering from National Technical University of Athens (Athens,Greece). ...
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Sahar Yousefi

Sahar Yousefi

Introduction Sahar works at GorterCenter. Her current research focus is perfusion MRI reconstruction using deep learning. She has one year of experience of research vis...
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Mohamed S. Elmahdy

Mohamed S. Elmahdy

Introduction Mohamed Elbially Elmahdy earned his a bachelor’s degree in Biomedical Engineering at Cairo University, Egypt in June 2013. He worked as a Teaching and Research ...
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Zhiwei Zhai

Zhiwei Zhai

Introduction Zhiwei Zhai received his Bachelor degree of Information and Computing Science in July 2012, at Harbin Institute of Technology (Weihai), and Master degree of Com...
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