document

On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRI

Perinajová, R. (author), van Ooij, Pim (author), Kenjeres, S. (author)

A long-time exposure to lack of oxygen (hypoxia) in some regions of the cerebrovascular system is believed to be one of the causes of cerebral neurological diseases. In the present study, we show how a combination of magnetic resonance imaging (MRI) and computational fluid dynamics (CFD) can provide a noninvasive alternative for studying...

journal article 2023

document

Subclinical liver traits are associated with structural and hemodynamic brain imaging markers

Yilmaz, Pinar (author), Alferink, Louise J.M. (author), Cremers, Lotte G.M. (author), Murad, Sarwa D. (author), Niessen, W.J. (author), Ikram, M. Arfan (author), Vernooij, Meike W. (author)

Background & Aims: Impaired liver function affects brain health and therefore understanding potential mechanisms for subclinical liver disease is essential. We assessed the liver–brain associations using liver measures with brain imaging markers, and cognitive measures in the general population. Methods: Within the population-based...

journal article 2023

document

Nanoprobes for PET/MR Imaging

Liu, Huanhuan (author), Wang, R. (author), Gao, Haiyan (author), Chen, Lijuan (author), Li, Xiaochen (author), Yu, Xuan (author), Wu, Yaping (author), Bai, Yan (author), Wei, W. (author), Wang, Meiyun (author)

The development of clinical imaging techniques significantly improves diagnostic accuracy and provides guidance for personalized treatment of individuals. However, every single imaging modality has its distinct drawbacks that cannot fully fulfil the diagnosis requirement. Thus, rational combination of different imaging modalities can achieve...

review 2023

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MRI-based synthetic CT in the detection of knee osteoarthritis: Comparison with CT

Arbabi, Saeed (author), Foppen, Wouter (author), Gielis, Willem Paul (author), van Stralen, Marijn (author), Jansen, Mylène (author), Arbabi, Vahid (author), de Jong, Pim A. (author), Weinans, Harrie (author), Seevinck, Peter (author)

Magnetic resonance Imaging is the gold standard for assessment of soft tissues; however, X-ray-based techniques are required for evaluating bone-related pathologies. This study evaluated the performance of synthetic computed tomography (sCT), a novel MRI-based bone visualization technique, compared with CT, for the scoring of knee...

journal article 2023

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The Correlation Between Wall Shear Stress and Plaque Composition in Advanced Human Carotid Atherosclerosis

Moerman, A. M. (author), Korteland, S. (author), Dilba, K. (author), van Gaalen, K. (author), Poot, D. H.J. (author), van Der Lugt, A. (author), Verhagen, H. J.M. (author), Wentzel, J. J. (author), van Der Steen, A. F.W. (author), Gijsen, F.J.H. (author), Van der Heiden, K. (author)

The role of wall shear stress (WSS) in atherosclerotic plaque development is evident, but the relation between WSS and plaque composition in advanced atherosclerosis, potentially resulting in plaque destabilization, is a topic of discussion. Using our previously developed image registration pipeline, we investigated the relation between two...

journal article 2022

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Assessment of data consistency through cascades of independently recurrent inference machines for fast and robust accelerated MRI reconstruction

Karkalousos, D. (author), Noteboom, S. (author), Hulst, H. E. (author), Vos, F.M. (author), Caan, M.W.A. (author)

Objective. Machine Learning methods can learn how to reconstruct magnetic resonance images (MRI) and thereby accelerate acquisition, which is of paramount importance to the clinical workflow. Physics-informed networks incorporate the forward model of accelerated MRI reconstruction in the learning process. With increasing network complexity,...

journal article 2022

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Learning-based method for k-space trajectory design in MRI

Sharma, Shubham (author), Hari, K.V.S. (author), Leus, G.J.T. (author)

Variable density sampling of the k-space in MRI is an integral part of trajectory design. It has been observed that data-driven trajectory design methods provide a better image reconstruction as compared to trajectories obtained from a fixed or a parametric density function. In this paper, a data-driven strategy has been proposed to obtain non...

conference paper 2022

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Transceive phase corrected 2D contrast source inversion-electrical properties tomography

Stijnman, Peter R.S. (author), Mandija, Stefano (author), Fuchs, P.S. (author), van den Berg, Cornelis A.T. (author), Remis, R.F. (author)

Purpose: To remove the necessity of the tranceive phase assumption for CSI-EPT and show electrical properties maps reconstructed from measured data obtained using a standard 3T birdcage body coil setup. Methods: The existing CSI-EPT algorithm is reformulated to use the transceive phase rather than relying on the transceive phase assumption....

journal article 2021

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A multi-center, multi-vendor study to evaluate the generalizability of a radiomics model for classifying prostate cancer: High grade vs. low grade

Castillo, J.M. (author), Starmans, M.P.A. (author), Arif, M. (author), Niessen, W.J. (author), Klein, Stefan (author), Bangma, Chris H. (author), Schoots, Ivo G. (author), Veenland, J.F. (author)

Radiomics applied in MRI has shown promising results in classifying prostate cancer lesions. However, many papers describe single-center studies without external validation. The issues of using radiomics models on unseen data have not yet been sufficiently addressed. The aim of this study is to evaluate the generalizability of radiomics...

journal article 2021

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Geometrically induced wall shear stress variability in CFD-MRI coupled simulations of blood flow in the thoracic aortas

Perinajová, R. (author), Juffermans, Joe F. (author), Westenberg, Jos J.M. (author), van der Palen, Roel L.F. (author), van den Boogaard, Pieter J. (author), Lamb, Hildo J. (author), Kenjeres, S. (author)

Aortic aneurysm is associated with aberrant blood flow and wall shear stress (WSS). This can be studied by coupling magnetic resonance imaging (MRI) with computational fluid dynamics (CFD). For patient-specific simulations, extra attention should be given to the variation in segmentation of the MRI data-set and its effect on WSS. We performed...

journal article 2021

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A calibrated physical flow standard for medical perfusion imaging

Kok, G. (author), Pelevic, N. (author), Chiribiri, A. (author), Milidonis, X. (author), Nazir, M. (author), Capstick, M. (author), Drost, S. (author), Poelma, C. (author), Schaeffter, T. (author)

In the medical sector, various imaging methodologies or modalities (e.g. MRI, PET, CT) are used to assess the health of various parts of the bodies of patients. One such investigation is the blood flow or perfusion of the heart muscle, expressed as the (blood) flow rate normalized by the mass of the volume of interest. Currently there is no...

journal article 2021

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A Dictionary Learning Approach for Joint Reconstruction and Denoising in Low Field Magnetic Resonance Imaging

Ahishakiye, Emmanuel (author), van Gijzen, M.B. (author), Shan, X. (author), Tumwiine, Julius (author), Obungoloch, Johnes (author)

Currently, many children with hydrocephalus in East Africa and other resource-constrained countries do not have access to Magnetic Resonance Imaging (MRI) scanners, the preferred imaging tool during the disease administration and treatment. Conventional MRI scanners are costly to buy and manage, which limits their utilization in low-income...

conference paper 2021

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Electromagnetic Fields in MRI: Analytical Methods and Applications

Fuchs, P.S. (author)

Electrical properties, the conductivity and permittivity of tissue, are quantities that describe the interaction of an object and electromagnetic fields. These properties influence electromagnetic fields and are influenced themselves by physiological phe- nomena such as lesions or a stroke. Therefore, they are important in identifying or...

doctoral thesis 2020

document

Towards a general framework for fast and feasible k-space trajectories for MRI based on projection methods

Sharma, Shubham (author), Coutino, Mario (author), Chepuri, Sundeep Prabhakar (author), Leus, G.J.T. (author), Hari, K. V.S. (author)

The design of feasible trajectories to traverse the k-space for sampling in magnetic resonance imaging (MRI) is important while considering ways to reduce the scan time. Over the recent years, non-Cartesian trajectories have been observed to result in benign artifacts and being less sensitive to motion. In this paper, we propose a generalized...

journal article 2020

document

PC-MRI Blood-Flow measurements: Visualization and Data Assimilation

de Hoon, N.H.L.C. (author)

Heart and vessel diseases, or cardiovascular diseases (CVDs), are globally the main cause of mortality and morbidity. The blood flow plays an important role in their occurrence and progression. Therefore, knowledge of the blood flow is of key importance to reduce and threat these diseases. This knowledge requires both high-quality data and an...

doctoral thesis 2020

document

An adaptive intelligence algorithm for undersampled knee MRI reconstruction

Pezzotti, Nicola (author), Yousefi, Sahar (author), Elmahdy, Mohamed S. (author), van Gemert, Jeroen Hendrikus Fransiscus (author), Schuelke, Christophe (author), Doneva, Mariya (author), Nielsen, Tim (author), Lelieveldt, B.P.F. (author), Staring, M. (author)

Adaptive intelligence aims at empowering machine learning techniques with the additional use of domain knowledge. In this work, we present the application of adaptive intelligence to accelerate MR acquisition. Starting from undersampled k-space data, an iterative learning-based reconstruction scheme inspired by compressed sensing theory is...

journal article 2020

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Weakly supervised object detection with 2D and 3D regression neural networks

Dubost, Florian (author), Adams, Hieab (author), Yilmaz, Pinar (author), Bortsova, Gerda (author), Tulder, Gijs van (author), Ikram, M. Arfan (author), Niessen, W.J. (author), Vernooij, Meike W. (author), Bruijne, Marleen de (author)

Finding automatically multiple lesions in large images is a common problem in medical image analysis. Solving this problem can be challenging if, during optimization, the automated method cannot access information about the location of the lesions nor is given single examples of the lesions. We propose a new weakly supervised detection method...

journal article 2020

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K-Space Trajectory Design for Reduced MRI Scan Time

Sharma, S. (author), Hari, K.V.S. (author), Leus, G.J.T. (author)

The development of compressed sensing (CS) techniques for magnetic resonance imaging (MRI) is enabling a speedup of MRI scanning. To increase the incoherence in the sampling, a random selection of points on the k-space is deployed and a continuous trajectory is obtained by solving a traveling salesman problem (TSP) through these points. A...

conference paper 2020

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Space Filling Curves for MRI Sampling

Sharma, S. (author), Hari, K.V.S. (author), Leus, G.J.T. (author)

A novel class of k-space trajectories for magnetic resonance imaging (MRI) sampling using space filling curves (SFCs) is presented here. More specifically, Peano, Hilbert and Sierpinski curves are used. We propose 1-shot and 4-shot variable density SFCs by utilizing the space coverage provided by SFCs in different iterations. The proposed...

conference paper 2020

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Characterizing the structure of aerobic granular sludge using ultra-high field magnetic resonance

Kirkland, Catherine M. (author), Seymour, Joseph D. (author), Krug, Julia R. (author), Velders, Aldrik H. (author), Vergeldt, Frank J. (author), Van As, Henk (author), van den Berg, L. (author), de Kreuk, M.K. (author), Codd, Sarah L. (author)

Despite aerobic granular sludge wastewater treatment plants operating around the world, our understanding of internal granule structure and its relation to treatment efficiency remains limited. This can be attributed in part to the drawbacks of time-consuming, labor-intensive, and invasive microscopy protocols which effectively restrict...

journal article 2020