Automatic breast lesion segmentation in phase preserved DCE-MRIs
We offer a framework for automatically and accurately segmenting breast lesions from
Dynamic Contrast Enhanced (DCE) MRI in this paper. The framework is built using max flow …
Dynamic Contrast Enhanced (DCE) MRI in this paper. The framework is built using max flow …
An image registration method for voxel-wise analysis of whole-body oncological PET-CT
H Jönsson, S Ekström, R Strand, MA Pedersen… - Scientific Reports, 2022 - nature.com
Whole-body positron emission tomography-computed tomography (PET-CT) imaging in
oncology provides comprehensive information of each patient's disease status. However …
oncology provides comprehensive information of each patient's disease status. However …
Large-scale biometry with interpretable neural network regression on UK Biobank body MRI
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 …
than 32,000 volunteer participants with magnetic resonance imaging (MRI). Each scan is …
[HTML][HTML] Serum levels of perfluoroalkyl substances (PFAS) and body composition–A cross-sectional study in a middle-aged population
Background It has been suggested that per-and polyfluoroalkyl substances (PFAS) are
endocrine disruptors with a potential to influence fat mass. Objective The primary hypothesis …
endocrine disruptors with a potential to influence fat mass. Objective The primary hypothesis …
Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies
Background Computed tomography (CT) is an imaging modality commonly used for studies
of internal body structures and very useful for detailed studies of body composition. The aim …
of internal body structures and very useful for detailed studies of body composition. The aim …
Identifying morphological indicators of aging with neural networks on large-scale whole-body MRI
T Langner, J Wikström, T Bjerner… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
A wealth of information is contained in images obtained by whole-body magnetic resonance
imaging (MRI). Studying the link between the imaged anatomy and properties known from …
imaging (MRI). Studying the link between the imaged anatomy and properties known from …
Tissue-specific glucose partitioning and fat content in prediabetes and type 2 diabetes: whole-body PET/MRI during hyperinsulinemia
Objective To obtain direct quantifications of glucose turnover, volumes and fat content of
several tissues in the development of type 2 diabetes (T2D) using a novel integrated …
several tissues in the development of type 2 diabetes (T2D) using a novel integrated …
Prediction of total metabolic tumor volume from tissue-wise FDG-PET/CT projections, interpreted using cohort saliency analysis
Early and accurate prediction of clinical outcomes holds great potential for patient
prognostics and personalized treatment planning. Development of automated methods for …
prognostics and personalized treatment planning. Development of automated methods for …
Bayesian fully convolutional networks for brain image registration
K Cui, P Fu, Y Li, Y Lin - Journal of Healthcare Engineering, 2021 - Wiley Online Library
The purpose of medical image registration is to find geometric transformations that align two
medical images so that the corresponding voxels on two images are spatially consistent …
medical images so that the corresponding voxels on two images are spatially consistent …
Faster dense deformable image registration by utilizing both CPU and GPU
S Ekström, M Pilia, J Kullberg… - Journal of Medical …, 2021 - spiedigitallibrary.org
Purpose: Image registration is an important aspect of medical image analysis and a key
component in many analysis concepts. Applications include fusion of multimodal images …
component in many analysis concepts. Applications include fusion of multimodal images …