ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2021
Optimal choice of OSEM and SD reconstruction algorithms in CZT SPECT for hypertrophic cardiomyopathy patients.
Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 12 citations in OpenAlex.
- Article
- The D-SPECT SH reconstruction protocol: improved quantification of small left ventricle volumes.EJNMMI physics · 2024Article
- Beware the pitfalls of beauty: High-quality myocardial images with resolution recovery.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Comparison of Myocardial Ischemia Detection Between Semiconductor and Conventional Anger-type Three-detector SPECT.Annals of nuclear cardiology · 2021Article
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4 authors at 2 institutions in 1 country.
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Abstract
backgroundThe spectrum dynamics (SD) algorithm is a cardiac reconstruction algorithm of D-SPECT, which improves spatial resolution compared with the ordered-subsets expectation maximization (OSEM) algorithm. We evaluated the wall thickness and left ventricular (LV) volume in patients with hypertrophic cardiomyopathy (HCM) using the SD algorithm.
methodsIn a phantom study, the myocardial wall was scanned with varying wall thicknesses (10-40 mm). In the clinical study, 30 and 27 normal and HCM patients underwent myocardial perfusion imaging.
resultsIn a phantom study, LV volume using the SD algorithm was increased by thickening the wall of the phantom. In the clinical study, the wall thickness and LV volume of OSEM and SD algorithms showed a difference between HCM and normal groups. The wall thickness using OSEM and SD algorithms were 19.4 ± 2.0 and 16.7 ± 1.5 mm in patients with normal, and 27.9 ± 4.9 and 21.8 ± 2.6 mm in patients with HCM.
conclusionThe SD algorithm in cases of HCM may not be able to correctly assess wall thickness and LV volume. Our study suggests that the OSEM is more suitable in cases of HCM than the SD algorithm.
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