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The UK Biobank Imaging Study has acquired medical scans of more than 40,000 volunteer participants. The resulting wealth of anatomical information has been made available for research, together with extensive metadata including measurements…

Image and Video Processing · Electrical Eng. & Systems 2020-07-02 Taro Langner , Robin Strand , Håkan Ahlström , Joel Kullberg

Along with rich health-related metadata, medical images have been acquired for over 40,000 male and female UK Biobank participants, aged 44-82, since 2014. Phenotypes derived from these images, such as measurements of body composition from…

Image and Video Processing · Electrical Eng. & Systems 2021-09-16 Taro Langner , Fredrik K. Gustafsson , Benny Avelin , Robin Strand , Håkan Ahlström , Joel Kullberg

In a large-scale medical examination, the UK Biobank study has successfully imaged more than 32,000 volunteer participants with magnetic resonance imaging (MRI). Each scan is linked to extensive metadata, providing a comprehensive medical…

Image and Video Processing · Electrical Eng. & Systems 2020-10-12 Taro Langner , Robin Strand , Håkan Ahlström , Joel Kullberg

Volume Interpolated Breath-Hold Examination (VIBE) MRI generates images suitable for water and fat signal composition estimation. While the two-point VIBE provides water-fat-separated images, the six-point VIBE allows estimation of the…

The UK Biobank is collecting extensive data on health-related characteristics of over half a million volunteers. The biological samples of blood and urine can provide valuable insight on kidney function, with important links to…

Image and Video Processing · Electrical Eng. & Systems 2020-06-15 Taro Langner , Andreas Östling , Lukas Maldonis , Albin Karlsson , Daniel Olmo , Dag Lindgren , Andreas Wallin , Lowe Lundin , Robin Strand , Håkan Ahlström , Joel Kullberg

Purpose: Development of a fast and fully automated deep learning pipeline (FatSegNet) to accurately identify, segment, and quantify abdominal adipose tissue on Dixon MRI from the Rhineland Study - a large prospective population-based study.…

Computer Vision and Pattern Recognition · Computer Science 2019-11-06 Santiago Estrada , Ran Lu , Sailesh Conjeti , Ximena Orozco-Ruiz , Joana Panos-Willuhn , Monique M. B Breteler , Martin Reuter

UK Biobank (UKB) conducts large-scale examinations of more than half a million volunteers, collecting health-related information on genetics, lifestyle, blood biochemistry, and more. Medical imaging of 100,000 subjects, with 70,000…

Image and Video Processing · Electrical Eng. & Systems 2021-09-15 Taro Langner , Andrés Martínez Mora , Robin Strand , Håkan Ahlström , Joel Kullberg

Diffusion-weighted magnetic resonance imaging (DW-MRI) is a powerful, non-invasive tool for detecting and characterizing abdominal lesions to facilitate early diagnosis, but respiratory motion during a scan reduces image quality and…

Image and Video Processing · Electrical Eng. & Systems 2024-11-19 Michelle Su , Cemre Ariyurek , Serge Vasylechko , Onur Afacan , Sila Kurugol

Deformable image registration (DIR) is an enabling technology in many diagnostic and therapeutic tasks. Despite this, DIR algorithms have limited clinical use, largely due to a lack of benchmark datasets for quality assurance during…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Edward R Criscuolo , Yao Hao , Zhendong Zhang , Trevor McKeown , Deshan Yang

The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the operator to correctly tune the acquisition parameters to the subject being scanned and on the potential occurrence of imaging artefacts such…

Magnetic Resonance Imaging (MRI) is the gold standard for measuring fat and iron content non-invasively in the body via measures known as Proton Density Fat Fraction (PDFF) and $R_2^*$, respectively. However, conventional PDFF and $R_2^*$…

Computer Vision and Pattern Recognition · Computer Science 2024-10-16 Suma Anand , Kaiwen Xu , Colm O'Dushlaine , Sumit Mukherjee

Purpose: To perform and evaluate water-fat signal separation of whole-body gradient echo scans using convolutional neural networks. Methods: Whole-body gradient echo scans of 240 subjects, each consisting of 5 bipolar echoes, were used.…

Computer Vision and Pattern Recognition · Computer Science 2019-05-01 Jonathan Andersson , Håkan Ahlström , Joel Kullberg

PURPOSE To develop free-running multi-echo GRE for cardiac- and respiratory-motion-resolved whole-heart fat fraction quantification. METHODS Multi-echo readouts optimized for water-fat separation and quantification were integrated within a…

Normal fetal adipose tissue (AT) development is essential for perinatal well-being. AT, or simply fat, stores energy in the form of lipids. Malnourishment may result in excessive or depleted adiposity. Although previous studies showed a…

We introduce a novel technique called ShapedNet to enhance body composition assessment. This method employs a deep neural network capable of estimating Body Fat Percentage (BFP), performing individual identification, and enabling…

Purpose To achieve whole-liver motion-corrected fat fraction (FF) and R2* quantification with a 3-minute free-breathing (FB) 3D radial isotropic acquisition, for increased organ coverage, ease-of-use, and patient comfort. Methods A FB 3D…

Background: Automated analysis of CT scans for abdominal organ measurement is crucial for improving diagnostic efficiency and reducing inter-observer variability. Manual segmentation and measurement of organs such as the kidneys, liver,…

Large-scale medical studies such as the UK Biobank examine thousands of volunteer participants with medical imaging techniques. Combined with the vast amount of collected metadata, anatomical information from these images has the potential…

Image and Video Processing · Electrical Eng. & Systems 2021-05-18 Taro Langner , Robin Strand , Håkan Ahlström , Joel Kullberg

The aim was to undertake a national survey of the setup of mammography imaging systems in the UK, we were particularly interested in image processing and software version. We created a program that can extract selected tags from the DICOM…

Image and Video Processing · Electrical Eng. & Systems 2025-01-24 Alistair Mackenzie , John Loveland , Ruben van Engen

The incidence of gastrointestinal cancers remains significantly high, particularly in China, emphasizing the importance of accurate prognostic assessments and effective treatment strategies. Research shows a strong correlation between…

Image and Video Processing · Electrical Eng. & Systems 2025-03-11 Xinyu Nan , Meng He , Zifan Chen , Bin Dong , Lei Tang , Li Zhang
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