Purpose: Our objective was to determine clinically the value of time-of-flight (TOF) information in reducing PET artifacts and improving PET image quality and accuracy in simultaneous TOF PET/MR scanning.
Methods: A total 65 patients who underwent a comparative scan in a simultaneous TOF PET/MR scanner were included. TOF and non-TOF PET images were reconstructed, clinically examined, compared and scored. PET imaging artifacts were categorized as large or small implant-related artifacts, as dental implant-related artifacts, and as implant-unrelated artifacts. Differences in image quality, especially those related to (implant) artifacts, were assessed using a scale ranging from 0 (no artifact) to 4 (severe artifact).
Results: A total of 87 image artifacts were found and evaluated. Four patients had large and eight patients small implant-related artifacts, 27 patients had dental implants/fillings, and 48 patients had implant-unrelated artifacts. The average score was 1.14 ± 0.82 for non-TOF PET images and 0.53 ± 0.66 for TOF images (p < 0.01) indicating that artifacts were less noticeable when TOF information was included.
Conclusion: Our study indicates that PET image artifacts are significantly mitigated with integration of TOF information in simultaneous PET/MR. The impact is predominantly seen in patients with significant artifacts due to metal implants.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s00259-017-3619-2 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction algorithm.
Radiography (Lond)
January 2025
Department of Physics, Faculty of Science, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia. Electronic address:
Introduction: Optimizing the image quality of Positron Emission Tomography/Computed Tomography (PET/CT) systems is crucial for effective monitoring, diagnosis, and treatment planning in oncology. This study evaluates the impact of time-of-flight (TOF) on PET/CT performance, focusing on varying penalty β values within Q. Clear reconstruction algorithm.
View Article and Find Full Text PDF[Changes in FDG-PET Images of Small Lung and Liver Masses Caused by the Deep Learning-based Time-of-flight Processing].
Nihon Hoshasen Gijutsu Gakkai Zasshi
December 2024
Department of Radiology, Division of Medical Technology, Kyushu University Hospital.
Purpose: The deep learning time-of-flight (DL-ToF) aims to replicate the ToF effects through post-processing, applying deep learning-based enhancement to PET images. This study evaluates the effectiveness of DL-ToF using a chest-abdomen phantom that simulates human anatomical structures.
Methods: The 3 DL-ToF intensities (Low-DL-ToF: LDL, Middle-DL-ToF: MDL, High-DL-ToF: HDL) were adopted for the PET image of the chest-abdomen phantom.
PARALLELPROJ-an open-source framework for fast calculation of projections in tomography.
Front Nucl Med
January 2024
Institute of Nuclear Medicine, University College London, London, United Kingdom.
In this article, we introduce parallelproj, a novel open-source framework designed for efficient parallel computation of projections in tomography leveraging either multiple CPU cores or GPUs. This framework efficiently implements forward and back projection functions for both sinogram and listmode data, utilizing Joseph's method, which is further extended to encompass time-of-flight (TOF) PET projections. Our evaluation involves a series of tests focusing on PET image reconstruction using data sourced from a state-of-the-art clinical PET/CT system.
View Article and Find Full Text PDFInfluence of Covariates on F-FDG PET/CT Diagnostic Accuracy for Liver Metastasis.
Diagnostics (Basel)
July 2024
Department of Nuclear Medicine, University Hospital of Saint-Etienne, 42055 Saint Etienne, France.
Article Synopsis
- F-FDG PET/CT imaging's effectiveness for detecting liver metastasis can be affected by various factors, including the type of PET technology, lesion size, and body mass index (BMI).
- A study involving 192 patients evaluated these factors and found that TOF PET/CT technology had higher sensitivity, particularly for larger lesions.
- Specifically, lesions smaller than 10 mm and higher BMI were associated with reduced sensitivity, while factors like age, sex, and liver density showed no significant effect.
Time-of-flight PET/CT suppresses CT based attenuation correction and scatter coincidence correction errors due to misalignment of the gastrointestinal tract.
Asia Ocean J Nucl Med Biol
January 2024
Hirosaki University Graduate School of Health Sciences, Hirosaki-shi, Aomori, Japan.
Objectives: This study aimed to examine the influence of changes in CT values on PET images, specifically focusing on errors in CT-based attenuation correction and scatter coincidence correction (CTAC/SC) caused by gastrointestinal gas. Furthermore, it aimed to demonstrate the effectiveness of time-of-flight (TOF) PET in reducing CTAC/SC errors.
Methods: PET images were reconstructed using multiple CT images with varying CT values.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!