- 영문명
- The evaluate the usefulness of various CT kernel applications by PET/CT attenuation correction
- 발행기관
- 대한핵의학기술학회
- 저자명
- 이재영(Jae-Young Lee) 성용준(Yong-Jun Seong) 윤석환(Seok-Hwan Yoon) 박찬록(Chan-Rok Park) 이홍재(Hong-Jae Lee) 노경운(Kyung-Wun Noh)
- 간행물 정보
- 『핵의학기술』Vol.21 No.2, 37~43쪽, 전체 7쪽
- 주제분류
- 의약학 > 방사선과학
- 파일형태
- 발행일자
- 2017.11.30
 
        국문 초록
영문 초록
Purpose Recently PET/CT image’s attenuation correction is used CTAC(Computed Tomgraphy Attenuation Correction). it can quantitative evaluation by SUV(Standard Uptake Value). This study’s purpose is to evaluate SUV and to find proper CT kernel using CTAC with applied various CT kernel to PET/CT construction. Materials and Methods Biograph mCT 64 was used for the equipment. We were performed on 20 patients who had examed at our hospital from february through March 2017. Using NEMA IEC Body Phantom, The data was reconstructed PET/CT images with CTAC appiled various CT kernel. ANOVA was used to evaluated the significant difference in the result. Results The result of measuring the radioactivity concentration of Phantom was B45F 96% and B80F 6.58% against B08F CT kernel, each respectively. the SUVmax increased to B45F 0.86% and B80F 6.54% against B08F CT kernel, In case of patient's parts data, the Lung SUVmax increased to B45F 1.6% and B80F 6.6%, Liver SUVmax increased to B45F 0.7% and B80F 4.7%, and Bone SUVmax increased to B45F 1.3% and B80F 6.2%, respectively. As for parts of patient's about Standard Deviation(SD), the Lung SD increased to B45F 4.2% and B80F 15.4%, Liver SD increased to B45F 2.1% and B80F 11%, and Bone SD increased to B45F 2.3% and B80F 14.7%, respectively. There was no significant difference discovered in three CT kernel (P >.05). Conclusion When using increased noise CT kernel for PET/CT reconstruction, It tends to change both SUVmax and SD in ROI(region of interest), Due to the increase the CT kernel number, Sharp noise increased in ROI. so SUVmax and SD were highly measured, but there was no statistically significant difference. Therefore Using CT kernel of low variation of SD occur less variation of SUV
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