Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET

doi:10.1186/s40658-022-00493-9

	Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET
	Sun, Tao 1,5; Wu, Yaping 2; Wei, Wei 2; Fu, Fangfang 2; Meng, Nan 2; Chen, Hongzhao 1; Li, Xiaochen 2; Bai, Yan 2; Wang, Zhenguo 1; Ding, Jie 1; Hu, Debin 3; Chen, Chaojie 3; Hu, Zhanli 1; Liang, Dong 1; Liu, Xin 1; Zheng, Hairong 1; Yang, Yongfeng 1; Zhou, Yun 3,4; Wang, Meiyun 2
	2022-09-14
发表期刊	EJNMMI PHYSICS
ISSN	2197-7364
EISSN	2197-7364
卷号	9 期号:1
发表状态	已发表
DOI	10.1186/s40658-022-00493-9
摘要	Background The total-body positron emission tomography (PET) scanner provides an unprecedented opportunity to scan the whole body simultaneously, thanks to its long axial field of view and ultrahigh temporal resolution. To fully utilize this potential in clinical settings, a dynamic scan would be necessary to obtain the desired kinetic information from scan data. However, in a long dynamic acquisition, patient movement can degrade image quality and quantification accuracy. Methods In this work, we demonstrated a motion correction framework and its importance in dynamic total-body FDG PET imaging. Dynamic FDG scans from 12 subjects acquired on a uEXPLORER PET/CT were included. In these subjects, 7 are healthy subjects and 5 are those with tumors in the thorax and abdomen. All scans were contaminated by motion to some degree, and for each the list-mode data were reconstructed into 1-min frames. The dynamic frames were aligned to a reference position by sequentially registering each frame to its previous neighboring frame. We parametrized the motion fields in-between frames as diffeomorphism, which can map the shape change of the object smoothly and continuously in time and space. Diffeomorphic representations of motion fields were derived by registering neighboring frames using large deformation diffeomorphic metric matching. When all pairwise registrations were completed, the motion field at each frame was obtained by concatenating the successive motion fields and transforming that frame into the reference position. The proposed correction method was labeled SyN-seq. The method that was performed similarly, but aligned each frame to a designated middle frame, was labeled as SyN-mid. Instead of SyN, the method that performed the sequential affine registration was labeled as Aff-seq. The original uncorrected images were labeled as NMC. Qualitative and quantitative analyses were performed to compare the performance of the proposed method with that of other correction methods and uncorrected images. Results The results indicated that visual improvement was achieved after correction of the SUV images for the motion present period, especially in the brain and abdomen. For subjects with tumors, the average improvement in tumor SUVmean was 5.35 +/- 4.92% (P = 0.047), with a maximum improvement of 12.89%. An overall quality improvement in quantitative K-i images was also observed after correction; however, such improvement was less obvious in K-1 images. Sampled time-activity curves in the cerebral and kidney cortex were less affected by the motion after applying the proposed correction. Mutual information and dice coefficient relative to the reference also demonstrated that SyN-seq improved the alignment between frames over non-corrected images (P = 0.003 and P = 0.011). Moreover, the proposed correction successfully reduced the inter-subject variability in K-i quantifications (11.8% lower in sampled organs). Subjective assessment by experienced radiologists demonstrated consistent results for both SUV images and K-i images. Conclusion To conclude, motion correction is important for image quality in dynamic total-body PET imaging. We demonstrated a correction framework that can effectively reduce the effect of random body movements on dynamic images and their associated quantification. The proposed correction framework can potentially benefit applications that require total-body assessment, such as imaging the brain-gut axis and systemic diseases.
关键词	Motion correction Total-body PET Dynamic imaging Kinetic modeling
URL	查看原文
收录类别	SCI ; SCIE
语种	英语
资助项目	Scientific Instrument Innovation Team of the Chinese Academy of Sciences[GJJSTD20180002] ; Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province[2020B1212060051]
WOS研究方向	Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:000853853000001
出版者	SPRINGER
Scopus 记录号	2-s2.0-85139255443
来源库	Scopus
引用统计
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/231979
专题	生物医学工程学院
通讯作者	Wang, Meiyun
作者单位	1.Paul C. Lauterbur Research Center for Biomedical Imaging,Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China 2.Henan Provincial People’s Hospital and the People’s Hospital of Zhengzhou,University of Zhengzhou,Zhengzhou,China 3.Central Research Institute,United Imaging Healthcare Group Co.,Ltd,Shanghai,China 4.School of Biomedical Engineering,Shanghai Tech University,Shanghai,China 5.United Imaging Research Institute of Innovative Medical Equipment,Shenzhen,China
推荐引用方式 GB/T 7714	Sun, Tao,Wu, Yaping,Wei, Wei,et al. Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET[J]. EJNMMI PHYSICS,2022,9(1).
APA	Sun, Tao.,Wu, Yaping.,Wei, Wei.,Fu, Fangfang.,Meng, Nan.,...&Wang, Meiyun.(2022).Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET.EJNMMI PHYSICS,9(1).
MLA	Sun, Tao,et al."Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET".EJNMMI PHYSICS 9.1(2022).