Back

Quantitative Assessment of Dual and Triple Energy Window Scatter Correction in Myocardial Perfusion SPECT with a 4D Phantom

El Bab, M.; Guvenis, A.

2026-04-25 cardiovascular medicine
10.64898/2026.04.17.26351095 medRxiv
Show abstract

Conflicting evidence on scatter correction (SC) methods plagues quantitative myocardial perfusion SPECT (MPI), hindering standardized clinical protocols. This simulation study, utilizing the SIMIND Monte Carlo program and a highly realistic 4D XCAT phantom, systematically evaluates Dual Energy Window (DEW, with k=0.5) and Triple Energy Window (TEW) SC techniques. We uniquely investigate their performance across various photopeak window widths (2, 4, and 6 keV) and novel overlapped/non overlapped configurations specifically for Tc 99m MPI parameters largely unexplored in realistic cardiac models. Images were reconstructed with OSEM under uncorrected (UC), SC, and combined attenuation and scatter corrected (ACSC) conditions. Quantitative analysis focused on signal to noise ratio (SNR), contrast to noise ratio (CNR), defect contrast, and relative noise to background (RNB). Our findings consistently show ACSC's superior performance in CNR, SNR, and defect contrast, confirming its critical role. Interestingly, SC alone reduced noise but compromised defect contrast relative to UC, highlighting a potential trade-off without attenuation correction. Crucially, this study reveals minimal influence of photopeak window width and overlap configuration on image quality, and no significant difference between DEW and TEW across most metrics. These results provide essential evidence for optimizing quantitative MPI protocols, suggesting that for Tc 99m, the choice between DEW and TEW, and specific window settings, may be less critical than ensuring robust attenuation correction.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 2%
14.5%
2
PLOS ONE
4510 papers in training set
Top 24%
7.3%
3
Magnetic Resonance in Medicine
72 papers in training set
Top 0.2%
6.9%
4
Physics in Medicine & Biology
17 papers in training set
Top 0.1%
6.9%
5
eLife
5422 papers in training set
Top 21%
4.2%
6
Computers in Biology and Medicine
120 papers in training set
Top 0.8%
3.6%
7
Medical Image Analysis
33 papers in training set
Top 0.3%
3.6%
8
Medical Physics
14 papers in training set
Top 0.2%
2.6%
9
NMR in Biomedicine
24 papers in training set
Top 0.2%
2.6%
50% of probability mass above
10
Frontiers in Physiology
93 papers in training set
Top 2%
2.6%
11
Frontiers in Cardiovascular Medicine
49 papers in training set
Top 1%
2.1%
12
International Journal of Molecular Sciences
453 papers in training set
Top 5%
2.1%
13
European Journal of Nuclear Medicine and Molecular Imaging
19 papers in training set
Top 0.1%
1.9%
14
Computer Methods and Programs in Biomedicine
27 papers in training set
Top 0.2%
1.9%
15
Photoacoustics
11 papers in training set
Top 0.2%
1.8%
16
Frontiers in Neurology
91 papers in training set
Top 3%
1.8%
17
MethodsX
14 papers in training set
Top 0.1%
1.7%
18
Biomedical Optics Express
84 papers in training set
Top 0.7%
1.7%
19
Talanta
12 papers in training set
Top 0.3%
1.7%
20
Journal of Biomedical Optics
25 papers in training set
Top 0.4%
1.7%
21
Sensors
39 papers in training set
Top 1%
1.3%
22
IEEE Transactions on Biomedical Engineering
38 papers in training set
Top 0.6%
1.2%
23
Diagnostics
48 papers in training set
Top 1%
1.2%
24
NeuroImage
813 papers in training set
Top 5%
1.2%
25
NeuroImage: Clinical
132 papers in training set
Top 3%
1.1%
26
Biology Methods and Protocols
53 papers in training set
Top 2%
1.0%
27
Radiotherapy and Oncology
18 papers in training set
Top 0.3%
0.9%
28
Ultrasound in Medicine & Biology
10 papers in training set
Top 0.4%
0.9%
29
Magnetic Resonance Imaging
21 papers in training set
Top 0.5%
0.8%
30
Analytical and Bioanalytical Chemistry
17 papers in training set
Top 0.4%
0.8%