Correction of collimator-dependent differences in the heart-to-mediastinum ratio in 123I-metaiodobenzylguanidine cardiac sympathetic imaging: Determination of conversion equations using point-source imaging View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-10

AUTHORS

Yusuke Inoue, Yutaka Abe, Kei Kikuchi, Keiji Matsunaga, Ray Masuda, Kazutoshi Nishiyama

ABSTRACT

BACKGROUND: Septal penetration causes collimator-dependent differences in the heart-to-mediastinum (H/M) ratio in 123I-metaiodobenzylguanidine (MIBG) cardiac imaging. We investigated generally applicable methods to correct such differences. METHODS AND RESULTS: Four hours after 123I-MIBG injection, 40 patients underwent anterior chest imaging successively with medium-energy (ME) and various non-ME collimators. The H/M ratios obtained with the non-ME collimators before and after 123I-dual-window penetration correction were compared with the ME-derived standard values to determine patient-based conversion equations for empiric and combined corrections, respectively. A 123I point source was imaged with various collimators, and the central ratio, the ratio of count in a small central region of interest to count in a large one, was calculated. The method of predicting the conversion equations from the central ratios was determined. Correction using the patient-based conversion equations removed systematic underestimation of the H/M ratios obtained with the non-ME collimators, and combined correction depressed residual random errors to some degree. Point-source-based equations yielded results comparable to the patient-based equations. CONCLUSIONS: Empiric and combined corrections effectively reduce collimator-dependent differences in the H/M ratio. The conversion equations can be predicted from simple point-source imaging, which would allow to apply these corrections to data obtained with various collimators. More... »

PAGES

1725-1736

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12350-016-0546-8

DOI

http://dx.doi.org/10.1007/s12350-016-0546-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052517213

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27251143


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