activity
19982021
most citedValidation of Continuously Tagged MRI for the Measurement of Dynamic 3D Skeletal Muscle Tissue Deformation

27 citations · 82 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2021★ 2 cited

ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network

Sahar Yousefi, Hessam Sokooti, Wouter M. Teeuwisse +4

Positron Emission Tomography (PET) is an imaging method that can assess physiological function rather than structural disturbances by measuring cerebral perfusion or glucose consum…

physics.med-ph2020

Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients

Misha P. T. Kaandorp, Sebastiano Barbieri, Remy Klaassen +5

: Earlier work showed that IVIM-NET, an unsupervised physics-informed deep neural network, was more accurate than other state-of-the-art intravoxel-incohere…

physics.med-ph2019★ 5 cited

Compressed Sensing MRI With Variable Density Averaging (CS-VDA) Outperforms Full Sampling At Low SNR

Jasper Schoormans, Gustav J. Strijkers, Anders C. Hansen +2

We investigated whether a combination of k-space undersampling and variable density averaging enhances image quality for low-SNR MRI acquisitions. We implemented 3D Cartesian k-spa…

physics.med-ph2017★ 4 cited

A scale space based algorithm for automated segmentation of single shot tagged MRI of shearing deformation

André M. J. Sprengers, Matthan W. A. Caan, Kevin M. Moerman +3

Object This study proposes a scale space based algorithm for automated segmentation of single-shot tagged images of modest SNR. Furthermore the algorithm was designed for analysis…

physics.med-ph2016★ 18 cited

Validation of SPAMM Tagged MRI Based Measurement of 3D Soft Tissue Deformation

Kevin M. Moerman, Andre M. J. Sprengers, Ciaran K. Simms +3

This study presents and validates a novel (non-ECG-triggered) MRI sequence based on SPAtial Modulation of the Magnetization (SPAMM) to non-invasively measure 3D (quasi-static) soft…

physics.med-ph2016★ 27 cited

Validation of Continuously Tagged MRI for the Measurement of Dynamic 3D Skeletal Muscle Tissue Deformation

Kevin M. Moerman, Andre M. J. Sprengers, Ciaran K. Simms +3

A SPAMM tagged MRI methodology is presented allowing continuous (3.3-3.6 Hz) sampling of 3D dynamic soft tissue deformation using non-segmented 3D acquisitions. The 3D deformation…