| Literature DB >> 28595496 |
Nobuyuki Kudomi1, Yukito Maeda2, Hiroyuki Yamamoto1, Yuka Yamamoto3, Tetsuhiro Hatakeyama4, Yoshihiro Nishiyama3.
Abstract
CBF, OEF, and CMRO2 images can be quantitatively assessed using PET. Their image calculation requires arterial input functions, which require invasive procedure. The aim of the present study was to develop a non-invasive approach with image-derived input functions (IDIFs) using an image from an ultra-rapid O2 and C15O2 protocol. Our technique consists of using a formula to express the input using tissue curve with rate constants. For multiple tissue curves, the rate constants were estimated so as to minimize the differences of the inputs using the multiple tissue curves. The estimated rates were used to express the inputs and the mean of the estimated inputs was used as an IDIF. The method was tested in human subjects ( n = 24). The estimated IDIFs were well-reproduced against the measured ones. The difference in the calculated CBF, OEF, and CMRO2 values by the two methods was small (<10%) against the invasive method, and the values showed tight correlations ( r = 0.97). The simulation showed errors associated with the assumed parameters were less than ∼10%. Our results demonstrate that IDIFs can be reconstructed from tissue curves, suggesting the possibility of using a non-invasive technique to assess CBF, OEF, and CMRO2.Entities:
Keywords: Cerebral blood flow; image derived input function; metabolic rate of oxygen; oxygen extraction fraction; positron emission tomography
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Year: 2017 PMID: 28595496 PMCID: PMC5987943 DOI: 10.1177/0271678X17713574
Source DB: PubMed Journal: J Cereb Blood Flow Metab ISSN: 0271-678X Impact factor: 6.200