We looked into the problem that the quantitative values of 123I data vary according to collimator type. First, we made the assumption that the quantitative values of 123I data are degraded by the scattered photons from the 529 keV component which contaminate the 159 keV imaging data. Then, the 123I Dual Window (IDW) method was proposed to improve the quantitative values of the 123I data. The IDW method uses the energy window on the high-energy side to estimate the amount of scattered 529 keV photons which contaminate the 159 keV data. Since only a dual-energy window acquisition and a simple image processing are needed, the IDW method can be performed in most conventional gamma camera systems. In the torso phantom studies, the IDW method reduced the error in the semi-quantitative value 'heart/mediastinum (H/M) ratio' in 123I-MIBG myocardial scintigraphy from 22% to 1%. The results of the phantom studies indicate that the IDW method can improve the quantitative values of 123I data.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Spatiotemporal distribution of global peatland area during the Holocene.
Sci Data
January 2025
State Key Laboratory of Lithospheric and Environmental Coevolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China.
Peatlands are a key component of terrestrial ecosystems, and their development has an important impact on global carbon cycle and climate change. However, the long-term evolution of global peatlands remains uncertain, particularly their spatial distribution. We compiled 4700 basal peatland data during Holocene, and 669 pollen data of Sphagnum with basal and end ages, to allow a more robust reconstruction of the spatial distribution of peatlands.
View Article and Find Full Text PDFModelling Euphrates river water quality index based on field measured data in Al-Diwaniyah City, Iraq.
Sci Rep
January 2025
Civil and Environmental Engineering Department, King Fahd University of Petroleum and Minerals, 31261, Dhahran, Saudi Arabia.
Pollution monitoring in surface water using field observational procedure is a challenging matter as it is time consuming, and needs a lot of efforts. This study addresses the challenge of efficiently monitoring and predicting water pollution using a GIS-based artificial neural network (ANN) to detect heavy metal (HM) pollution in surface water and effect of wastewater required discharge on the Euphrates River in Al-Diwaniyah City, Iraq. The study established using 40 water sampling stations and incorporates Inductively Coupled Plasma Atomic Emission Spectrometry (ICP-OES) to assess HM levels.
View Article and Find Full Text PDFWater quality assessment of Johor River Basin, Malaysia, using multivariate analysis and spatial interpolation method.
Environ Sci Pollut Res Int
January 2025
Center for Environmental Sustainability and Water Security (IPASA), Research Institute for Sustainable Environment (RISE), Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia.
In the Johor River Basin, a comprehensive analysis was conducted on 24 water environmental parameters across 33 sampling sites over 3 years, encompassing both dry and wet seasons. A total of 396 water samples were collected and analyzed to calculate the Water Quality Index (WQI). To further assess water quality and pinpoint potential pollution sources, multivariate techniques such as principal component analysis (PCA) and cluster analysis (CA), alongside spatial analysis using inverse distance weighted (IDW) interpolation, were employed.
View Article and Find Full Text PDFIdentification of natural and anthropogenic factors in the spatial pattern of Pb in the surface soil of the Nanliu River Basin.
Ecotoxicol Environ Saf
December 2024
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China.
The identification of source in potentially toxic elements (PTEs) in watershed soils is crucial for environmental management. This study addresses the knowledge gap in understanding the combined influence of natural and anthropogenic factors on the spatial pattern of lead (Pb) in the surface soil of the Nanliu River Basin. The main objective was to identify and quantify these influences using an integrated approach of ANOVA, correlation analysis, IDW interpolation, and Local Moran's I.
View Article and Find Full Text PDFGeochemical evolution, geostatistical mapping and machine learning predictive modeling of groundwater fluoride: a case study of western Balochistan, Quetta.
Environ Geochem Health
December 2024
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China.
Around 2.6 billion people are at risk of tooth carries and fluorosis worldwide. Quetta is the worst affected district in Balochistan plateau.
View Article and Find Full Text PDFWant 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!