Signal Sensing and Reconstruction Paradigms for a Novel Multi-Source Static Computed Tomography System - Robotics Institute Carnegie Mellon University

Signal Sensing and Reconstruction Paradigms for a Novel Multi-Source Static Computed Tomography System

Alankar Kotwal, Avilash Cramer, Dufan Wu, Kai Yang, Wolfgang Krull, Ioannis Gkioulekas, and Rajiv Gupta
Conference Paper, Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '20), pp. 9274 - 9278, May, 2020

Abstract

Conventional Computed Tomography (CT) systems use a single X-ray source and an arc of detectors mounted on a rotating gantry to acquire a set of projection data. Novel CT systems are now being pioneered in which a complete ring of distributed X-ray sources and detectors are electronically turned on and off, without any mechanical motion, to acquire a set of projections for tomographic reconstruction. This paper discusses new sensing and reconstruction paradigms enabled by this new CT architecture.

BibTeX

@conference{Kotwal-2020-121958,
author = {Alankar Kotwal and Avilash Cramer and Dufan Wu and Kai Yang and Wolfgang Krull and Ioannis Gkioulekas and Rajiv Gupta},
title = {Signal Sensing and Reconstruction Paradigms for a Novel Multi-Source Static Computed Tomography System},
booktitle = {Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '20)},
year = {2020},
month = {May},
pages = {9274 - 9278},
}