@article{oai:repo.qst.go.jp:00049337,
 author = {Sakai, Makoto and Raj, kumar Parajuli and Kikuchi, Mikiko and Yamaguchi, Mitsutaka and Nagao, Yuto and Kawachi, Naoki and Arakawa, Kazuo and Nakano, (Gunma Univ.) Takashi and 酒井 真理 and ラジュ クマル パラジュリ and 菊地 美貴子 and 山口 充孝 and 長尾 悠人 and 河地 有木 and 荒川 和夫},
 journal = {Physica Medica},
 month = {Nov},
 note = {Introduction: We have been developing a medical imaging technique using a Compton camera, which is expected to reconstruct three-dimensional images. If the number of views is not sufficient, star-shaped artifacts (streak artifacts) could arise in cross-sectional images. Therefore, we estimated the point spread function (PSF) of cross-sectional Compton images and the effect of the number of views by Monte Carlo simulations and experimental studies. 
Materials and Methods: A cross-sectional Compton image was reconstructed using a dataset comprising 719 view directions and PSF was analyzed using a radial distribution. The peak height, full width at half maximum (FWHM), background (BG), and residual sum of squares (RSS) were calculated from the obtained PSF. In addition, RSSs were plotted against the number of views to estimate the required number to suppress star-shaped artifacts. 
Results: There was no correlation found between the number of views and both FWHM (16 mm) and peak/BG ratio (~1×10^4). RSSs were reduced with the number of views and approached the minimum asymptotically. Correlation was observed between the required number of views and the number of Compton events used for image reconstruction.
Conclusion: We determined the PSF of cross-sectional Compton images and the effect of the number of views on the images. The required number of views to suppress the star-shaped artifact is related to the square root of the number of Compton events used to reconstruct the image. From this study, we concluded that 21 or more views are required for clinical purposes.},
 pages = {1--9},
 title = {Effect of number of views on cross-sectional Compton imaging: A fundamental study with backprojection},
 volume = {56},
 year = {2018}
}