Scott D Wollenweber1, Adam M Alessio2, Paul E Kinahan2. 1. PET Engineering, GE Healthcare, Waukesha, Wisconsin 53189. 2. Department of Radiology, University of Washington, Seattle, Washington 98195-7987.
Abstract
PURPOSE: The primary clinical role of positron emission tomography (PET) imaging is the detection of anomalous regions of (18)F-FDG uptake, which are often indicative of malignant lesions. The goal of this work was to create a task-configurable fillable phantom for realistic measurements of detectability in PET imaging. Design goals included simplicity, adjustable feature size, realistic size and contrast levels, and inclusion of a lumpy (i.e., heterogeneous) background. METHODS: The detection targets were hollow 3D-printed dodecahedral nylon features. The exostructure sphere-like features created voids in a background of small, solid non-porous plastic (acrylic) spheres inside a fillable tank. The features filled at full concentration while the background concentration was reduced due to filling only between the solid spheres. RESULTS: Multiple iterations of feature size and phantom construction were used to determine a configuration at the limit of detectability for a PET/CT system. A full-scale design used a 20 cm uniform cylinder (head-size) filled with a fixed pattern of features at a contrast of approximately 3:1. Known signal-present and signal-absent PET sub-images were extracted from multiple scans of the same phantom and with detectability in a challenging (i.e., useful) range. These images enabled calculation and comparison of the quantitative observer detectability metrics between scanner designs and image reconstruction methods. The phantom design has several advantages including filling simplicity, wall-less contrast features, the control of the detectability range via feature size, and a clinically realistic lumpy background. CONCLUSIONS: This phantom provides a practical method for testing and comparison of lesion detectability as a function of imaging system, acquisition parameters, and image reconstruction methods and parameters.
PURPOSE: The primary clinical role of positron emission tomography (PET) imaging is the detection of anomalous regions of (18)F-FDG uptake, which are often indicative of malignant lesions. The goal of this work was to create a task-configurable fillable phantom for realistic measurements of detectability in PET imaging. Design goals included simplicity, adjustable feature size, realistic size and contrast levels, and inclusion of a lumpy (i.e., heterogeneous) background. METHODS: The detection targets were hollow 3D-printed dodecahedral nylon features. The exostructure sphere-like features created voids in a background of small, solid non-porous plastic (acrylic) spheres inside a fillable tank. The features filled at full concentration while the background concentration was reduced due to filling only between the solid spheres. RESULTS: Multiple iterations of feature size and phantom construction were used to determine a configuration at the limit of detectability for a PET/CT system. A full-scale design used a 20 cm uniform cylinder (head-size) filled with a fixed pattern of features at a contrast of approximately 3:1. Known signal-present and signal-absent PET sub-images were extracted from multiple scans of the same phantom and with detectability in a challenging (i.e., useful) range. These images enabled calculation and comparison of the quantitative observer detectability metrics between scanner designs and image reconstruction methods. The phantom design has several advantages including filling simplicity, wall-less contrast features, the control of the detectability range via feature size, and a clinically realistic lumpy background. CONCLUSIONS: This phantom provides a practical method for testing and comparison of lesion detectability as a function of imaging system, acquisition parameters, and image reconstruction methods and parameters.
Authors: Pawel J Markiewicz; Casper da Costa-Luis; J Dickson; A Barnes; G Krokos; J MacKewn; T Clark; C Wimberley; G MacNaught; M M Yaqub; J D Gispert; B F Hutton; P Marsden; A Hammers; A J Reader; S Ourselin; K Herholz; J C Matthews; F Barkhof Journal: Med Phys Date: 2022-03-31 Impact factor: 4.506
Authors: Seyyed Ali Hosseini; Isaac Shiri; Ghasem Hajianfar; Bahador Bahadorzadeh; Pardis Ghafarian; Habib Zaidi; Mohammad Reza Ay Journal: Med Phys Date: 2022-04-11 Impact factor: 4.506