prikaz prve stranice dokumenta Evaluation of Single-Photon Emission Computed Tomography Myocardial Perfusion Detection Capability through Physical Descriptors
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Scientific paper - Original scientific paper
Evaluation of Single-Photon Emission Computed Tomography Myocardial Perfusion Detection Capability through Physical Descriptors
Applied Sciences, 14 (2024), 12; 5283. https://doi.org/10.3390/app14125283
Dundara Debeljuh, Dea; Matheoud, Roberta; Pribanić, Ivan; Brambilla, Marco; Jurković, Slaven

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Dundara Debeljuh, D., Matheoud, R., Pribanić, I., Brambilla, M. & Jurković, S. (2024). Evaluation of Single-Photon Emission Computed Tomography Myocardial Perfusion Detection Capability through Physical Descriptors. Applied Sciences, 14. (12). doi: 10.3390/app14125283

Dundara Debeljuh, Dea, et al. "Evaluation of Single-Photon Emission Computed Tomography Myocardial Perfusion Detection Capability through Physical Descriptors." Applied Sciences, vol. 14, no. 12, 2024. https://doi.org/10.3390/app14125283

Dundara Debeljuh, Dea, Roberta Matheoud, Ivan Pribanić, Marco Brambilla and Slaven Jurković. "Evaluation of Single-Photon Emission Computed Tomography Myocardial Perfusion Detection Capability through Physical Descriptors." Applied Sciences 14, no. 12 (2024). https://doi.org/10.3390/app14125283

Dundara Debeljuh, D., et al. (2024) 'Evaluation of Single-Photon Emission Computed Tomography Myocardial Perfusion Detection Capability through Physical Descriptors', Applied Sciences, 14(12). doi: 10.3390/app14125283

Dundara Debeljuh D, Matheoud R, Pribanić I, Brambilla M, Jurković S. Evaluation of Single-Photon Emission Computed Tomography Myocardial Perfusion Detection Capability through Physical Descriptors. Applied Sciences [Internet]. 2024 June 18 [cited 2024 December 03];14(12). doi: 10.3390/app14125283

D. Dundara Debeljuh, R. Matheoud, I. Pribanić, M. Brambilla and S. Jurković, "Evaluation of Single-Photon Emission Computed Tomography Myocardial Perfusion Detection Capability through Physical Descriptors", Applied Sciences, vol. 14, no. 12, June 2024. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:184:610519. [Accessed: 03 December 2024]

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Metadata
Title (english)Evaluation of Single-Photon Emission Computed Tomography Myocardial Perfusion Detection Capability through Physical Descriptors
AuthorDea Dundara Debeljuh
AuthorRoberta Matheoud
AuthorIvan Pribanić
AuthorMarco Brambilla
AuthorSlaven Jurković
Author's institutionUniversity of Rijeka
Faculty of Medicine
(Department of Medical Physics and Biophysics)
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Physics
Biophysics and Medical Physics
Abstract (english)
A comprehensive validation of data acquired by different myocardial perfusion imaging (MPI) systems was performed to evaluate contrast, self-attenuation properties, and perfusion detection capability. An anthropomorphic phantom with a myocardial insert and perfusion defect was used to simulate 99mTc-tetrofosmin distribution. Different MPI systems were evaluated: a SPECT system with iterative reconstruction algorithms and resolution recovery (IRR) with/without scatter correction (SPECT-IRR-SC and SPECT-IRR), and a cardio-centric IQ SPECT/CT system with IRR, with/without scatter and attenuation corrections (IQ-IRR-SC-AC and IQ-IRR). The image quality was assessed through physical descriptors: the contrast between the left ventricular (LV) wall and LV inner chamber (CLV/LVIC), intrinsic contrast (IC), and net contrast (NC). CLV/LVIC was found to be superior for IQ-IRR-SC-AC. The IC results showed non-uniformity of the signal intensity in the LV wall for the SPECT systems. The lowest IC values were obtained for IQ-IRR-SC-AC, except for septal position, where an underestimation of the signal intensity was revealed. The NC was found to be the highest for IQ-IRR-SC-AC and SPECT-IRR-SC. Additionally, for IQ-IRR-SC-AC, the NC increased in posterior and septal positions compared to IQ-IRR, enabling better perfusion detection capability over short-axis images. IQ-IRR showed performances comparable to SPECT-IRR. The characterization and evaluation perfusion detection capability of the MPI systems enabled the investigation of the systems’ performance and limitations.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleApplied Sciences
Numberingvol. 14, no. 12, 5283
e-ISSN2076-3417
DOIhttps://doi.org/10.3390/app14125283
URN:NBNurn:nbn:hr:184:610519
Publication2024-06-18
Document URLhttps://www.mdpi.com/2076-3417/14/12/5283
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-11-11 14:07:10