CT material decomposition with contrast agents: Single or multiple spectral photon-counting CT scans? A simulation study

被引:0
|
作者
Sawall, Stefan [1 ,2 ]
Baader, Edith [1 ,3 ]
Trapp, Philip [1 ]
Kachelriess, Marc [1 ,2 ]
机构
[1] German Canc Res Ctr, Heidelberg, Germany
[2] Heidelberg Univ, Med Fac, Heidelberg, Germany
[3] Heidelberg Univ, Dept Phys & Astron, Heidelberg, Germany
关键词
material decomposition; multiple contrast agents; virtual non-contrast; virtual noniodine; DETECTOR COMPUTED-TOMOGRAPHY; DUAL-ENERGY CT; EXPERIMENTAL FEASIBILITY; SMALL-BOWEL; IODINE; REGISTRATION; BISMUTH; ANGIOGRAPHY; TUNGSTEN; MEDIA;
D O I
10.1002/mp.17604
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
PurposeWith the widespread introduction of dual energy computed tomography (DECT), applications utilizing the spectral information to perform material decomposition became available. Among these, a popular application is to decompose contrast-enhanced CT images into virtual non-contrast (VNC) or virtual non-iodine images and into iodine maps. In 2021, photon-counting CT (PCCT) was introduced, which is another spectral CT modality. It allows for scans with more than two different detected spectra. With these systems, it becomes possible to distinguish more than two materials. It is frequently proposed to administer more than one contrast agent, perform a single PCCT scan, and then calculate the VNC images and the contrast agent maps. This may not be optimal because the patient is injected with a material, only to have it computationally extracted again immediately afterwards by spectral CT. It may be better to do an unenhanced scan followed by one or more contrast-enhanced scans. The main argument for the spectral material decomposition is patient motion, which poses a significant challenge for approaches involving two or more temporally separated scans. In this work, we assume that we can correct for patient motion and thus are free to scan the patient more than once. Our goal is then to quantify the penalty for performing a single contrast-enhanced scan rather than a clever series of unenhanced and enhanced scans. In particular, we consider the impact on patient dose and image quality.MethodsWe simulate CT scans of three differently sized phantoms containing various contrast agents. We do this for a variety of tube voltage settings, a variety of patient-specific prefilter (PSP) thicknesses and a variety of threshold settings of the photon-counting detector with up to four energy bins. The reconstructed bin images give the expectation values of soft tissue and of the contrast agents. Error propagation of projection noise into the images yields the image noise. Dose is quantified using the total CT dose index (CTDI) value of the scans. When combining multiple scans, we further consider all possible tube current (or dose) ratios between the scans. Material decomposition is done image-based in a statistical optimal way. Error propagation into the material-specific images yields the signal-to-noise ratio at unit dose (SNRD). The winning scan strategy is the one with the highest total SNRD, which is related to the SNRD of the material that has the lowest signal-to-noise ratio (SNR) among the materials to decompose into. We consider scan strategies with up to three scans and up to three materials (water W, contrast agent X and contrast agent Y).ResultsIn all cases, those scan strategies yield the best performance that combine differently enhanced scans, for example, W+WX, W+WXY, WX+WXY, W+WX+WY, with W denoting an unenhanced scan and WX, WY and WXY denoting X-, Y-, and X-Y-enhanced scans, respectively. The dose efficiency of scans with a single enhancement scheme, such as WX or WXY, is far lower. The dose penalty to pay for these single enhancement strategies is about two or greater. Our findings also apply to scans with a single energy bin and thus also to CT systems with conventional, energy-integrating detectors, that is, conventional DECT. Dual source CT (DSCT) scans are preferable over single source CT scans, also because one can use a PSP on the high Kilovolt spectrum to better separate the detected spectra. For the strategies and tasks considered here, it does not make sense to simultaneously scan with two different types of contrast agents. Iodine outperforms other high Z elements in nearly all cases.ConclusionsGiven the significant dose penalty when performing only one contrast-enhanced scan rather than a series of unenhanced and enhanced scans, one should consider avoiding the single-scan strategies. This requires to invest in the development of accurate registration algorithms that can compensate for patient and contrast agent motion between separate scans.
引用
收藏
页数:24
相关论文
共 50 条
  • [31] Super-Energy-Resolution Material Decomposition for Spectral Photon-Counting CT Using Pixel-Wise Learning
    Xie, Bingqing
    Zhu, Yuemin
    Niu, Pei
    Su, Ting
    Yang, Feng
    Wang, Lihui
    Rodesch, Pierre-Antoine
    Boussel, Loic
    Douek, Philippe
    Duvauchelle, Philippe
    IEEE ACCESS, 2021, 9 : 168485 - 168495
  • [32] Adaptive Spectral Inconsistency Modeling for Photon-Counting Detector CT
    Qi, Binxiang
    Gao, Hewei
    MEDICAL PHYSICS, 2020, 47 (06) : E377 - E377
  • [33] Photon-counting CT: modeling and compensating of spectral distortion effects
    Cammin, Jochen
    Kappler, Steffen
    Weidinger, Thomas
    Taguchi, Katsuyuki
    MEDICAL IMAGING 2015: PHYSICS OF MEDICAL IMAGING, 2015, 9412
  • [34] Robustness of optimal energy thresholds in photon-counting spectral CT
    Zheng, Yifan
    Yveborg, Moa
    Gronberg, Fredrik
    Xu, Cheng
    Su, Qianqian
    Danielsson, Mats
    Persson, Mats
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2020, 953
  • [35] On the Conditioning of Spectral Channelization (Energy Binning) and Its Impact on Multi-Material Decomposition Based Spectral Imaging in Photon-Counting CT
    Ren, Yan
    Xie, Huiqiao
    Long, Wenting
    Yang, Xiaofeng
    Tang, Xiangyang
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 68 (09) : 2678 - 2688
  • [36] Investigation of spectral performance for single-scan contrast-enhanced breast CT using photon-counting technology: A phantom study
    Ruth, Veikko
    Kolditz, Daniel
    Steiding, Christian
    Kalender, Willi A.
    MEDICAL PHYSICS, 2020, 47 (07) : 2826 - 2837
  • [37] Photon-counting spectral basis component material decomposition for musculoskeletal radiographs
    Stefanie Beck
    Thorsten Sellerer
    Korbinian Mechlem
    Jannis Bodden
    Felix Meurer
    Andreas Sauter
    Julia Herzen
    Franz Pfeiffer
    Daniela Pfeiffer
    Scientific Reports, 10
  • [38] Photon-counting spectral basis component material decomposition for musculoskeletal radiographs
    Beck, Stefanie
    Sellerer, Thorsten
    Mechlem, Korbinian
    Bodden, Jannis
    Meurer, Felix
    Sauter, Andreas
    Herzen, Julia
    Pfeiffer, Franz
    Pfeiffer, Daniela
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [39] MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data
    Jadue, Natalie M.
    Nagare, Madhuri
    Maltz, Jonathan S.
    Buzzard, Gregery T.
    Bouman, Charles A.
    MEDICAL IMAGING 2024: PHYSICS OF MEDICAL IMAGING, PT 1, 2024, 12925
  • [40] The reliability of virtual non-contrast reconstructions of photon-counting detector CT scans in assessing abdominal organs
    Dudas, Ibolyka
    Schultz, Leona
    Benke, Marton
    Szucs, Akos
    Kaposi, Pal Novak
    Szijarto, Attila
    Maurovich-Horvat, Pal
    Budai, Bettina Katalin
    BMC MEDICAL IMAGING, 2024, 24 (01):