{"title":"ACCELERATION: Sequentially-scanning DECT Imaging Using High Temporal Resolution Image Reconstruction And Temporal Extrapolation","authors":"Qiaoxin Li, Dong Liang, Yinsheng Li","doi":"arxiv-2408.06163","DOIUrl":null,"url":null,"abstract":"Dual-energy computed tomography (DECT) has been widely used to obtain\nquantitative elemental composition of imaged subjects for personalized and\nprecise medical diagnosis. Compared with existing high-end DECT leveraging\nadvanced X-ray source and/or detector technologies, the use of the\nsequentially-scanning data acquisition scheme to implement DECT may make\nbroader impact on clinical practice because this scheme requires no specialized\nhardware designs. However, since the concentration of iodinated contrast agent\nin the imaged subject varies over time, sequentially-scanned data sets acquired\nat two tube potentials are temporally inconsistent. As existing material\ndecomposition approaches for DECT assume that the data sets acquired at two\ntube potentials are temporally consistent, the violation of this assumption\nresults in inaccurate quantification accuracy of iodine concentration. In this\nwork, we developed a technique to achieve sequentially-scanning DECT imaging\nusing high temporal resolution image reconstruction and temporal extrapolation,\nACCELERATION in short, to address the technical challenge induced by temporal\ninconsistency of sequentially-scanned data sets and improve iodine\nquantification accuracy in sequentially-scanning DECT. ACCELERATION has been\nvalidated and evaluated using numerical simulation data sets generated from\nclinical human subject exams. Results demonstrated the improvement of iodine\nquantification accuracy using ACCELERATION.","PeriodicalId":501378,"journal":{"name":"arXiv - PHYS - Medical Physics","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Medical Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.06163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Dual-energy computed tomography (DECT) has been widely used to obtain
quantitative elemental composition of imaged subjects for personalized and
precise medical diagnosis. Compared with existing high-end DECT leveraging
advanced X-ray source and/or detector technologies, the use of the
sequentially-scanning data acquisition scheme to implement DECT may make
broader impact on clinical practice because this scheme requires no specialized
hardware designs. However, since the concentration of iodinated contrast agent
in the imaged subject varies over time, sequentially-scanned data sets acquired
at two tube potentials are temporally inconsistent. As existing material
decomposition approaches for DECT assume that the data sets acquired at two
tube potentials are temporally consistent, the violation of this assumption
results in inaccurate quantification accuracy of iodine concentration. In this
work, we developed a technique to achieve sequentially-scanning DECT imaging
using high temporal resolution image reconstruction and temporal extrapolation,
ACCELERATION in short, to address the technical challenge induced by temporal
inconsistency of sequentially-scanned data sets and improve iodine
quantification accuracy in sequentially-scanning DECT. ACCELERATION has been
validated and evaluated using numerical simulation data sets generated from
clinical human subject exams. Results demonstrated the improvement of iodine
quantification accuracy using ACCELERATION.