Preliminary Investigation of Axial and Angular Sampling in Multi-Pinhole AdaptiSPECT-C with XCAT Phantoms

Navid Zeraatkar, University of Massachusetts Medical School
Kesava S. Kalluri, University of Massachusetts Medical School
Arda Konik, University of Massachusetts Medical School
Joyeeta M. Mukherjee, University of Massachusetts Medical School
Joyoni Dey, University of Massachusetts Medical School
Justin C. Goding, University of Massachusetts Medical School
Yulun He, University of Massachusetts Medical School
Timothy J. Fromme, Worcester Polytechnic Institute
Benjamin Auer, University of Massachusetts Medical School
Soumyanil Banerjee, University of Massachusetts Medical School
Greta Mok, University of Massachusetts Medical School
George I. Zubal, Z-Concepts LLC
Lars R. Furenlid, The University of Arizona
Michael A. King, University of Massachusetts Medical School

Abstract

Most brain SPECT imaging procedures are currently being performed using general-purpose systems which are unable to fully take advantage of the use of clinically available agents. We are designing a novel multi-detector, multi-pinhole modular dedicated brain SPECT imaging system called AdaptiSPECT-C to improve sensitivity and resolution, and address the static and dynamic imaging needs. The aim of this study was to evaluate the axial and angular sampling sufficiency of a preliminary design of the system using simulation of the XCAT and a customized Defrise phantom. The simulator as well as image reconstruction projector is based on analytical modeling. The results provided an insight into the axial and angular sampling of the region-ofinterest of the AdaptiSPECT-C system and possible approaches to enhance the image quality in this regard showing that the application of approaches for increasing axial and angular samples including multipinhole shattering concept can enhance the quality of the reconstructed images.