Statistical model and ML-EM algorithm for emission tomography with known movement

DOI10.1007/s10851-021-01021-7OpenAlexW3132795733MaRDI QIDQ2036202

Olivier Verdier, Camille Pouchol

Publication date: 28 June 2021

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.02444

zbMATH Keywords

diffeomorphismPoisson point processpositron emission tomographymaximum likelihood expectation maximisation

Mathematics Subject Classification ID

Computer science (68-XX) Information and communication theory, circuits (94-XX)

Related Items (1)

Linear inverse problems with nonnegativity constraints: singularity of optimisers

Uses Software

• TensorFlow
• ODL
• MLEM

Cites Work

• Unnamed Item
• Functional analysis, Sobolev spaces and partial differential equations
• Random coding strategies for minimum entropy
• A Variational Model for Joint Motion Estimation and Image Reconstruction
• A Statistical Model for Positron Emission Tomography
• The ML–EM algorithm in continuum: sparse measure solutions
• Solution of the general moment problem via a one-parameter imbedding
• Lectures on the Poisson Process
• Positron emission tomography, Borel measures and weak convergence
• Shapes and diffeomorphisms

This page was built for publication: Statistical model and ML-EM algorithm for emission tomography with known movement