Zero-Extra-Dose PET Delayed Imaging with Data-Driven Attenuation Correction Estimation.
Purpose: Delayed positron emission tomography (PET) imaging may improve sensitivity and specificity in lesion detection. We proposed a PET data-driven method to estimate the attenuation map (AM) for the delayed scan without an additional x-ray computed tomography (CT).Procedures: An emission-attenua...
| Publicado en: | Molecular Imaging & Biology Vol. 21; no. 1; pp. 149 - 159 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Feb2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=134786701&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 134786701 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15361632 KJU jtl: Molecular Imaging & Biology issn: 15361632 maglogo: N pubinfo: dt: Feb2019 vid: 21 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 134786701 134786701 NLM29740741 134786701 10.1007/s11307-018-1205-z NLM29740741 134786701 ppf: 149 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Zero-Extra-Dose PET Delayed Imaging with Data-Driven Attenuation Correction Estimation. aug: au: Pang, Lifang Zhu, Wentao Dong, Yun Lv, Yang Shi, Hongcheng affil: Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180, Fenglin Road, 200032, Shanghai, People's Republic of China sug: subj: Tomography, Emission-Computed Algorithms Tomography, X-Ray Computed Aged Female Male Adult Human Image Processing, Computer Assisted Middle Age Dose-Response Relationship, Radiation Funding Source Aged: 65+ years Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: Purpose: Delayed positron emission tomography (PET) imaging may improve sensitivity and specificity in lesion detection. We proposed a PET data-driven method to estimate the attenuation map (AM) for the delayed scan without an additional x-ray computed tomography (CT).Procedures: An emission-attenuation-scatter joint estimation framework was developed. Several practical issues for clinical datasets were addressed. Particularly, the unknown scatter correction was incorporated in the joint estimation algorithm. The scaling problem was solved using prior information from the early CT scan. Fourteen patient datasets were added to evaluate the method. These patients went through two separate PET/CT scans. The delayed CT-based AM served as ground truth for the delayed scan. Standard uptake values (SUVmean and SUVmax) of lesion and normal tissue regions of interests (ROIs) in the early and delayed phase and the respective %DSUV (percentage change of SUVmean at two different time points) were analyzed, all with estimated and the true AM. Three radiologists participated in lesion detection tasks with images reconstructed with both AMs and rated scores for detectability.Results: The mean relative difference of SUVmean in lesion and normal liver tissue were 3.30 and 6.69 %. The average lesion-to-background contrast (detectability) with delayed PET images using CT AM was 60 % higher than that of the earlier PET image, and was 64 % higher when using the data-based AM. %DSUV for lesions and liver backgrounds with CT-based AM were - 0.058 ± 0.25 and - 0.33 ± 0.08 while with data-based AM were - 0.00 ± 0.26 and - 0.28 ± 0.08. Only slight significance difference was found between using CT-based AM and using the data-based AM reconstruction delay phase on %DSUV of lesion. The scores associated with the two AMs matched well consistently.Conclusions: Our method may be used in delayed PET imaging, which allows no secondary CT radiation in delayed phase. The quantitative analysis for lesion detection purpose could be ensured. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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