[Impact of Misregistration between the Myocardial Perfusion Images and CT Attenuation Correction Map on the %up Take with 17 Segments Polar Map].
In: Nihon Hoshasen Gijutsu Gakkai zasshi, Jg. 75 (2019), Heft 9, S. 892-899
academicJournal
Zugriff:
Purpose: Computed tomography (CT) attenuation correction of myocardial perfusion in single-photon emission computed tomography (SPECT) /CT systems is possibility of misregistration between emission and transmission scans. This study aimed to evaluate the influence of misregistration using a polar map of 17 segments model.
Methods: Using the fusion software, we assessed the magnitude and direction of misregistration in 200 consecutive myocardial perfusion SPECT images with 99m Technetium ( 99m Tc) tetrofosmin. After registration, CT data was shifted by ±1, ±2, and ±3 pixels along the cephalad/caudal, dorsal/ventral, and left/right axes, respectively. The registered image was compared with the shifted image.
Results: Misregistration between the SPECT and CT images occurred by 1-2 pixels in 127 cases (63.5%) and by 2 or more pixels in four cases (2%); the maximum misregistration was 1.2±0.4 pixels on average. The polar map scoring was most significantly affected by 3 pixel ventral shift. A ventral shift of 1 pixel affected the scores for the anterolateral and inferolateral segments, whereas a caudal shift of 1 pixel affected the scores for the anterior segment.
Conclusion: Since the 17 segments model can evaluate the position more precisely than the five segments model, it is possible to evaluate up to 1 pixel misregistration.
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[Impact of Misregistration between the Myocardial Perfusion Images and CT Attenuation Correction Map on the %up Take with 17 Segments Polar Map].
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Autor/in / Beteiligte Person: | Yoshikawa, K ; Chono, T ; Asanuma, O ; Yama, N |
Zeitschrift: | Nihon Hoshasen Gijutsu Gakkai zasshi, Jg. 75 (2019), Heft 9, S. 892-899 |
Veröffentlichung: | Kyoto : Nihon Hōshasen Gijutsu Gakkai, 2019 |
Medientyp: | academicJournal |
ISSN: | 0369-4305 (print) |
DOI: | 10.6009/jjrt.2019_JSRT_75.9.892 |
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