Investigation of the effectiveness of no-reference metric in image evaluation in nuclear medicine

In nuclear medicine, normalized mean square error (NMSE) is widely used for image quality evaluation and machine adjustment. However, evaluating clinical images in nuclear medicine using NMSE necessitates acquiring a reference image, which is time consuming and impractical. Therefore, it is necessar...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2024-11, Vol.19 (11), p.e0310305
Main Authors: Higashiyama, Shigeaki, Katayama, Yutaka, Yoshida, Atsushi, Inoue, Nahoko, Yamanaga, Takashi, Ichida, Takao, Miki, Yukio, Kawabe, Joji
Format: Article
Language:English
Subjects:
Biology and Life Sciences
Biomarkers
Brain - diagnostic imaging
Error analysis
Fluorodeoxyglucose F18
Glucose
Humans
Image acquisition
Image Processing, Computer-Assisted - methods
Image Processing, Computer-Assisted - standards
Image quality
Medical imaging
Medicine and Health Sciences
Neuroimaging
Nuclear medicine
Nuclear Medicine - methods
Performance evaluation
Phantoms, Imaging
Quality assessment
Quality control
Radiopharmaceuticals
Research and Analysis Methods
Technology application
Tomography
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In nuclear medicine, normalized mean square error (NMSE) is widely used for image quality evaluation and machine adjustment. However, evaluating clinical images in nuclear medicine using NMSE necessitates acquiring a reference image, which is time consuming and impractical. Therefore, it is necessary to explore no-reference metrics, such as perception-based image quality evaluator (PIQE) and natural image quality evaluator (NIQE), as alternatives for evaluating the quality of clinical images used in nuclear medicine. To examine whether no-reference metrics can be applied to image quality evaluations for clinical images in nuclear medicine. Images of the Hoffman Brain Phantom containing 18F-fluoro-2-deoxy-D-glucose (FDG) were obtained using Biograph Vision (Siemens Co., Ltd). From the collected images, 14 images with varying pixel counts and acquisition times were created. Sixteen images were visually evaluated by five image experts and ranked accordingly. Image quality was assessed using NMSE, PIQE, and NIQE, and rankings were calculated based on these scores. The Spearman's significance test revealed a strong correlation between image quality evaluations using PIQE and visual evaluations by specialists (p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0310305