A proposal for PET/MRI attenuation correction with mu-values measured using a fixed-position radiation source and MRI segmentation

作者:Kawaguchi Hiroshi*; Hirano Yoshiyuki; Yoshida Eiji; Kershaw Jeff; Shiraishi Takahiro; Suga Mikio; Ikoma Yoko; Obata Takayuki; Ito Hiroshi; Yamaya Taiga
来源:NUCLEAR INSTRUMENTS %26 METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2014, 734: 156-161.
DOI:10.1016/j.nima.2013.09.015

摘要

Several MRI-based attenuation correction methods have been reported for PET/MRI; these methods are expected to make efficient use of high-quality anatomical MRIs and reduce the radiation dose for PET/MRI scanning. The accuracy of the attenuation map (mu-map) from an MRI depends on the accuracy of tissue segmentation and the attenuation coefficients to be assigned (mu-values). In this study, we proposed an MRI-based mu-value estimation method with a non-rotational radiation source to construct a suitable mu-map for PET/MRI. The proposed method uses an accurately segmented tissue map, the partial path length or each tissue, and detected intensities of attenuated radiation from a fixed-position (rather than a rotating) radiation source to obtain the mu-map. We estimated the partial path length from a virtual blank scan of fixed-point radiation with the same scanner geometry using the known tissue map from MRI. The mu-values of every tissue were estimated by inverting a linear relationship involving the partial path lengths and measured radioactivity intensity. Validation of the proposed method was performed by calculating a fixed-point data set based upon real a real transmission scan. The root-mean-square error between the mu-values derived from a conventional transmission scan and those obtained with our proposed method were 2.4 +/- 1.4%, 17.4 +/- 9.1% and 6.6 +/- 4.3% for brain, bone and soft tissue other than brain, respectively. Although the error estimates for bone and soft tissue are not insignificant, the method we propose is able to estimate the brain mu-value accurately and it is this factor that most strongly affects the quantitative value of PET images because of the large volumetric ratio of the brain.

  • 出版日期2014-1-11