학술논문

Effects of Data Corrections on Image Quality for a Brain Dedicated PET Insert for MRI
Document Type
Conference
Source
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2022 IEEE. :1-3 Nov, 2022
Subject
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Nuclear Engineering
Photonics and Electrooptics
Signal Processing and Analysis
Image quality
Geometry
Molecular imaging
Magnetic resonance imaging
Phantoms
Spatial resolution
Signal to noise ratio
Language
ISSN
2577-0829
Abstract
Creating an organ-dedicated PET system facilitates compact high-sensitivity geometries capable of high spatial resolution with a good image signal-to-noise ratio. The Molecular Imaging Instrumentation Laboratory has dedicated effort to developing an economically friendly brain-dedicated insert intended for simultaneous PET/MR imaging. This first-generation insert has been structurally modified for clinical translation with the near completion of the algorithmic foundation for maximum image quality. This work reports the accuracy and impact of data corrections such as normalization, randoms subtraction, attenuation correction, and scatter correction on a contrast phantom prepared with a signal-to-background ratio of 4:1. The final contrast ratio was calculated to be 2.64 for the largest rod in our phantom. Scatter estimation proved especially difficult given the compact system geometry.