Asia Oceania Journal of Nuclear Medicine and Biology

Asia Oceania Journal of Nuclear Medicine and Biology

Relationship between physical parameters and visual analysis for assessment of image quality: a multi-center and multi-vendor phantom study in brain SPECT

Document Type : Original Article

Authors
Akie Sugiura 1
Takayuki Shibutani 1
Masahisa Onoguchi 1
Akio Nagaki 2
Kotatsu Tsuboi 3
Toshimune Ito 4
Hajime Ichikawa 5
1 Department of Quantum Medical Technology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan
2 Department of Radiological Technology, Kurashiki Central Hospital, Okayama, Japan
3 Department of Radiological Technology, Hamamatsu Red Cross Hospital, Shizuoka, Japan
4 Department of Radiological Technology, Faculty of Medical Technology, Tokyo, Japan
5 Department of Radiology, Toyohashi Municipal Hospital, Aichi, Japan
10.22038/aojnmb.2024.75204.1524
Abstract
Objective(s): Brain perfusion single-photon emission computed tomography (SPECT) image quality varies depending on SPECT systems. This study aimed to evaluate the relationship between physical parameters and visual analysis for assessment of the brain SPECT image quality. We conducted our phantom study under various conditions in a multi-center and multi-vendor study.
Methods: SPECT images of the brain phantom were acquired from eight devices in five institutions. The phantom was filled with 28 kBq/ml of 99mTc solution at the start of scanning. We obtained various data with different acquisition times under clinical reconstruction and acquisition conditions at each institution. Four physical parameters (percent contrast, contrast noise ratio (CNR), asymmetry index (AI), and sharpness index (SI)) were measured with the phantom. Seven observers blindly evaluated all image series and scored them on a scale of 1–3 using four checkpoints: contrast, image noise, symmetry, and sharpness. The average score for all observers was calculated.
Results: CNR increased with increasing visual analysis scores for contrast and image noise, both of which were significantly different between the group with scores “<2” and the group with scores “≥2 and <3”. AI decreased as the visual analysis score for symmetry increased, and the AI of both groups with scores “≥2 and <3” and “3” were significantly lower than that of the group with scores “<2”. Conversely, no relationship with visual analysis was found for percent contrast and SI.
Conclusion: We clarified the relationship between physical parameters and visual analysis of a brain phantom in a multi-center and multi-vendor study. CNR and AI showed agreement with visual analysis.
Keywords
Brain perfusion SPECT
Multi-center
Multi-vendor
Physical parameter
Visual analysis
Subjects
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Asia Oceania Journal of Nuclear Medicine and Biology
Volume 13, Issue 1
January 2025
Pages 42-52