1 citations · 1 across the 2 of their papers we have counts for
7 papers
Embedded quantitative MRI T1rho mapping using non-linear primal-dual proximal splitting
Matti Hanhela, Antti Paajanen, Mikko J. Nissi +1
Quantitative MRI (qMRI) methods allow reducing the subjectivity of clinical MRI by providing numerical values on which diagnostic assessment or predictions of tissue properties can…
Simultaneous reconstruction of conductivity, boundary shape and contact impedances in electrical impedance tomography
J. P. Agnelli, V. Kolehmainen, M. Lassas +2
The objective of electrical impedance tomography (EIT) is to reconstruct the internal conductivity of a physical body based on current and voltage measurements at the boundary of t…
3D EIT Reconstructions from Electrode Data using Direct Inversion D-bar and Calderon Methods
Sarah J. Hamilton, David Isaacson, Ville Kolehmainen +3
The first numerical implementation of a D-bar method in 3D using electrode data is presented. Results are compared to Calderón's method as well as more common TV and smoothness reg…
Data-driven regularization parameter selection in dynamic MRI
Matti Hanhela, Olli Gröhn, Mikko Kettunen +3
In dynamic MRI, sufficient time resolution can often only be obtained using imaging protocols which produce undersampled data for each image in the time series. This has led to the…
Temporal Huber regularization for DCE-MRI
Matti Hanhela, Mikko Kettunen, Olli Gröhn +2
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is used to study microvascular structure and tissue perfusion. In DCE-MRI a bolus of gadolinium based contrast agent…
Parameter selection in dynamic contrast-enhanced magnetic resonance tomography
Kati Niinimäki, Matti Hanhela, Ville Kolehmainen
In this work we consider the image reconstruction problem of sparsely sampled dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI). DCE-MRI is a technique for acquiring…