Browsing NTNU Open by Author "While, Peter Thomas"
Now showing items 1-6 of 6
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Accuracy of breast cancer lesion classification using intravoxel incoherent motion diffusion-weighted imaging is improved by the inclusion of global or local prior knowledge with bayesian methods
Vidic, Igor; Jerome, Neil Peter; Bathen, Tone Frost; Goa, Pål Erik; While, Peter Thomas (Journal article; Peer reviewed, 2019)Background Diffusion‐weighted MRI (DWI) has potential to noninvasively characterize breast cancer lesions; models such as intravoxel incoherent motion (IVIM) provide pseudodiffusion parameters that reflect tissue perfusion, ... -
Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients
Kaandorp, Misha Pieter Thijs; Barbieri, Sebastiano; Klaassen, Remy; van Laarhoven, Hanneke W. M.; Crezee, Hans; While, Peter Thomas; Nederveen, Aart J.; Gurney-Champion, Oliver J. (Peer reviewed; Journal article, 2021)Purpose Earlier work showed that IVIM-NETorig, an unsupervised physics-informed deep neural network, was faster and more accurate than other state-of-the-art intravoxel-incoherent motion (IVIM) fitting approaches to ... -
Magnetic Lenz lenses improve the limit-of-detection in nuclear magnetic resonance
Spengler, Nils; While, Peter Thomas; Meissner, Markus V; Wallrabe, Ulrike; Korvink, Jan G. (Peer reviewed; Journal article, 2017)A high NMR detection sensitivity is indispensable when dealing with mass and volume-limited samples, or whenever a high spatial resolution is required. The use of miniaturised RF coils is a proven way to increase sensitivity, ... -
Microscale nuclear magnetic resonance gradient chip
Meissner, Markus V; While, Peter Thomas; Mager, Dario; Korvink, Jan G. (Peer reviewed; Journal article, 2022)We propose a design, micro fabrication process, and nuclear magnetic resonance (NMR) based evaluation, of a magnetic field gradient chip. The uni-axial linear z-gradient coil design was computed by a stream-function method, ... -
Neural networks for parameter estimation in microstructural MRI: application to a diffusion-relaxation model of white matter
de Almeida Martins, João Pedro; Nilsson, Markus; Lampinen, Björn; Palombo, Marco; While, Peter Thomas; Westin, Carl-Fredrik; Szczepankiewicz, Filip (Peer reviewed; Journal article, 2021)Specific features of white matter microstructure can be investigated by using biophysical models to interpret relaxation-diffusion MRI brain data. Although more intricate models have the potential to reveal more details ... -
Relative Enhanced Diffusivity in Prostate Cancer: Protocol Optimization and Diagnostic Potential
Billdal, Daniel Chen; While, Peter Thomas; Selnæs, Kirsten Margrete; Sunoqrot, Mohammed; Langørgen, Sverre; Bertilsson, Helena; Bathen, Tone Frost; Elschot, Mattijs (Journal article; Peer reviewed, 2019)Background Relative enhanced diffusivity (RED) is a potential biomarker for indirectly measuring perfusion in tissue using diffusion‐weighted magnetic resonance imaging (MRI) with 3 b values. Purpose To optimize the RED ...