Microlocal Analysis of Joint Reconstruction in X-ray+Compton Tomography

Todd Quinto (Tufts University)

Mar 16. 2021, 16:30 — 17:15

We present a new joint reconstruction method for the simultaneous reconstruction of attenuation coefficient and electron density from X-ray transmission and Compton-scattered backscattered data. We use microlocal analysis to show that the Compton and X-ray CT data set are complementary--this ensures that most wavefront directions of the object are visible from the combined data. We use a Lambda tomography penalty term in the regularization procedure of the algorithm to integrate the two data sets together. We evaluate our reconstruction method on the ``parallel line segment" acquisition geometry of [arXiv:1907.00418, 2019] which is motivated by a specific architecture for airport security screening. We first present a novel microlocal analysis of this data acquisition geometry which explains the nature of image artefacts when the attenuation coefficient and electron density are reconstructed separately. We introduce a new joint reconstruction scheme for low effective atomic number imaging characterized by a regularization strategy whose structure is derived from lambda tomography principles and motivated directly by the microlocal analysis results. Finally, we show the effectiveness of our method in combating the noise and image artefacts on simulated phantoms.

This is joint work with James Webber and Eric Miller of Tufts Electrical and Computer Engineering Department


Further Information
Erwin Schrödinger Institute - virtual
Associated Event:
Tomographic Reconstructions and their Startling Applications (Online Workshop)
Wolfgang Drexler (Med U Vienna)
Peter Elbau (U Vienna)
Ronny Ramlau (RICAM, Linz)
Monika Ritsch-Marte (Med Uni Innsbruck)
Otmar Scherzer (U Vienna)
Gerhard Schütz (TU Vienna)