Parametric image of regional bone metabolism using F-18 PET using a multiple linear regression analysis method

Su Jin Kim, Jae Sung Lee, Won Woo Lee, Yu Kyeong Kim, Sung June Jang, Kyu Ri Son, Hyo Cheol Kim, Jin Wook Chung, Dong Soo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Dynamic PET data can be quantified several biological parameter using Nonlinear Least Square (NLS) and compartment modeling. However, NLS is inappropriate to voxel based analysis because of initial problem and excessive calculation time. Graphical method is able to reduce the computation time, but sensitive to noise and time duration. In this study, we applied a novel multiple linear regression analysis (MLAIR) method for the estimator of fluoride bone influx rate (Ki) compared with patlak graphical method in minipig using [18F]Fluoride PET. In ROI analysis, estimated Ki values using MLAIR and Gjedde-Patlak graphical analysis (PGA) method was slightly higher than those of NLS, but the results of MLAIR and PGA were equivalent. However, Patlak slopes (A¡) were changed with different P in low uptake region. The parametric image quality was considerably improved when we used a new MLAIR method compared with Patlak. MLAIR showed reliable and robust properties for the voxel-wise parameter estimation in [18F] Fluoride PET study. It is expected that this method will be a good alternative to PGA for the radiotracers with irreversible 2-tissue compartment model.

Original languageEnglish
Title of host publication2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC
Pages4489-4490
Number of pages2
Volume6
DOIs
StatePublished - 1 Dec 2007
Event2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC - Honolulu, HI, United States
Duration: 27 Oct 20073 Nov 2007

Other

Other2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC
CountryUnited States
CityHonolulu, HI
Period27/10/073/11/07

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Linear regression
Metabolism
Regression analysis
Bone
Parameter estimation
Image quality
Tissue

Cite this

Kim, S. J., Lee, J. S., Lee, W. W., Kim, Y. K., Jang, S. J., Son, K. R., ... Lee, D. S. (2007). Parametric image of regional bone metabolism using F-18 PET using a multiple linear regression analysis method. In 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC (Vol. 6, pp. 4489-4490). [4437108] https://doi.org/10.1109/NSSMIC.2007.4437108
Kim, Su Jin ; Lee, Jae Sung ; Lee, Won Woo ; Kim, Yu Kyeong ; Jang, Sung June ; Son, Kyu Ri ; Kim, Hyo Cheol ; Chung, Jin Wook ; Lee, Dong Soo. / Parametric image of regional bone metabolism using F-18 PET using a multiple linear regression analysis method. 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC. Vol. 6 2007. pp. 4489-4490
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Kim, SJ, Lee, JS, Lee, WW, Kim, YK, Jang, SJ, Son, KR, Kim, HC, Chung, JW & Lee, DS 2007, Parametric image of regional bone metabolism using F-18 PET using a multiple linear regression analysis method. in 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC. vol. 6, 4437108, pp. 4489-4490, 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC, Honolulu, HI, United States, 27/10/07. https://doi.org/10.1109/NSSMIC.2007.4437108

Parametric image of regional bone metabolism using F-18 PET using a multiple linear regression analysis method. / Kim, Su Jin; Lee, Jae Sung; Lee, Won Woo; Kim, Yu Kyeong; Jang, Sung June; Son, Kyu Ri; Kim, Hyo Cheol; Chung, Jin Wook; Lee, Dong Soo.

2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC. Vol. 6 2007. p. 4489-4490 4437108.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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AB - Dynamic PET data can be quantified several biological parameter using Nonlinear Least Square (NLS) and compartment modeling. However, NLS is inappropriate to voxel based analysis because of initial problem and excessive calculation time. Graphical method is able to reduce the computation time, but sensitive to noise and time duration. In this study, we applied a novel multiple linear regression analysis (MLAIR) method for the estimator of fluoride bone influx rate (Ki) compared with patlak graphical method in minipig using [18F]Fluoride PET. In ROI analysis, estimated Ki values using MLAIR and Gjedde-Patlak graphical analysis (PGA) method was slightly higher than those of NLS, but the results of MLAIR and PGA were equivalent. However, Patlak slopes (A¡) were changed with different P in low uptake region. The parametric image quality was considerably improved when we used a new MLAIR method compared with Patlak. MLAIR showed reliable and robust properties for the voxel-wise parameter estimation in [18F] Fluoride PET study. It is expected that this method will be a good alternative to PGA for the radiotracers with irreversible 2-tissue compartment model.

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BT - 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC

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Kim SJ, Lee JS, Lee WW, Kim YK, Jang SJ, Son KR et al. Parametric image of regional bone metabolism using F-18 PET using a multiple linear regression analysis method. In 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC. Vol. 6. 2007. p. 4489-4490. 4437108 https://doi.org/10.1109/NSSMIC.2007.4437108