In this paper, the authors review the field of resolution modeling in positron emission
tomography (PET) image reconstruction, also referred to as point‐spread‐function modeling …

There is an increasing interest in iterative reconstruction (IR) as a key tool to improve quality
and increase applicability of x-ray CT imaging. IR has the ability to significantly reduce …

Purpose To compare image quality and lesion conspicuity on abdominal computed
tomographic (CT) images acquired with different x-ray tube current–time products (50–200 …

Purpose: The aim of this work was the assessment of the physical performance of the new
hybrid PET/CT system: Discovery‐690. Methods: The Discovery‐690 combines a lutetium …

Reconstructing low-dose X-ray computed tomography (CT) images is a noise problem. This
work investigated a penalized weighted least-squares (PWLS) approach to address this …

Presents an image reconstruction method for positron-emission tomography (PET) based on
a penalized, weighted least-squares (PWLS) objective. For PET measurements that are …

This paper studies mathematical methods in the emerging new discipline of Computational
Anatomy. Herein we formalize the Brown/Washington University model of anatomy following …

A Bayesian method is described for reconstruction of high-resolution 3D images from the
microPET small-animal scanner. Resolution recovery is achieved by explicitly modelling the …

This paper examines the spatial resolution properties of penalized-likelihood image
reconstruction methods by analyzing the local impulse response. The analysis shows that …

A new iterative maximum-likelihood reconstruction algorithm for X-ray computed
tomography is presented. The algorithm prevents beam hardening artifacts by incorporating …