activity
20162020
most citedControlled Wavelet Domain Sparsity in X-ray Tomography

22 citations · 61 across the 10 of their papers we have counts for

collaborators

11 papers

math.ST2020

Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion

Muhammad Emzir, Sari Lasanen, Zenith Purisha +2

In this article, we study Bayesian inverse problems with multi-layered Gaussian priors. We first describe the conditionally Gaussian layers in terms of a system of stochastic parti…

physics.ins-det2020★ 3 cited

Multispectral Photon-Counting for Medical Imaging and Beam Characterization

E. Brücken, S. Bharthuar, M. Emzir +18

We present the current status of our project of developing a photon counting detector for medical imaging. An example motivation lays in producing a monitoring and dosimetry device…

physics.med-ph2019

Dynamic 3D Tomographic X-ray Data of Ladybug

Juliaana Juurakko, Zenith Purisha, Simo Särkkä

This is the documentation of the 3D dynamic tomographic X-ray (CT) data of a ladybug. The open data set is available https://zenodo.org/record/3375488#.XV_T3vxS9oA and can be freel…

physics.med-ph2019

CT Data of a Pen-Spring: Application to Under-Sampled Dynamic X-ray Tomography

Juliaana Juurakko, Zenith Purisha, Simo Särkkä

This is the documentation of Computed Tomography (CT) data of a pen-spring. The open data set is available at https://zenodo.org/record/3266936#.XRyMdCZS9oA and can be freely used…

cs.CV2018★ 16 cited

Probabilistic approach to limited-data computed tomography reconstruction

Zenith Purisha, Carl Jidling, Niklas Wahlström +2

In this work, we consider the inverse problem of reconstructing the internal structure of an object from limited x-ray projections. We use a Gaussian process prior to model the tar…

stat.CO2018

Undersampled dynamic X-ray tomography with dimension reduction Kalman filter

Janne Hakkarainen, Zenith Purisha, Antti Solonen +1

In this paper, we consider prior-based dimension reduction Kalman filter for undersampled dynamic X-ray tomography. With this method, the X-ray reconstructions are parameterized by…

physics.med-ph2018★ 3 cited

Tomographic X-ray data of 3D emoji

Alexander Meaney, Zenith Purisha, Samuli Siltanen

This is the documentation of the tomographic X-ray data of emoji phantom made available at https://zenodo.org/record/1183532#.WpA35Y5rIy1. The data can be freely used for scientifi…

physics.med-ph2017★ 1 cited

An automatic regularization method: An application for 3D X-ray micro-CT reconstruction using sparse data

Zenith Purisha, Sakari S. Karhula, Juuso Ketola +5

X-ray tomography is a reliable tool for determining the inner structure of 3D object with penetrating X-rays. However, traditional reconstruction methods such as FDK require dense…

physics.med-ph2017★ 9 cited

Tomographic X-ray data of carved cheese

Tatiana A. Bubba, Markus Juvonen, Jonatan Lehtonen +4

This is the documentation of the tomographic X-ray data of a carved cheese slice. Data are available at www.fips.fi/dataset.php, and can be freely used for scientific purposes with…

math.NA2017★ 22 cited

Controlled Wavelet Domain Sparsity in X-ray Tomography

Zenith Purisha, Juho Rimpeläinen, Tatiana Bubba +1

Tomographic reconstruction is an ill-posed inverse problem that calls for regularization. One possibility is to require sparsity of the unknown in an orthonormal wavelet basis. Thi…

math.NA2016★ 7 cited

Shape recovery from sparse tomographic X-ray data

Heikki Haario, Aki Kallonen, Marko Laine +3

A two-dimensional tomographic problem is studied. The target is assumed to be a homogeneous object bounded by a smooth curve. A Non Uniform Rational Basis Splines (NURBS) curve is…