Fast kV Switching for Improved Material Decomposition with Photon Counting X-ray Detectors

被引:2
作者
Wang, Sen [1 ]
Yang, Yirong [1 ,2 ]
Pal, Debashish [3 ]
Pelc, Norbert J. [1 ]
Wang, Adam S. [1 ,2 ]
机构
[1] Stanford Univ, Dept Radiol, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
[3] GE Healthcare, Menlo Pk, CA 94025 USA
来源
MEDICAL IMAGING 2022: PHYSICS OF MEDICAL IMAGING | 2022年 / 12031卷
关键词
Photon counting detector; material decomposition; fast kV switching; CRLB;
D O I
10.1117/12.2611601
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Photon counting x-ray detectors enable spectral imaging, which can be utilized for material decomposition and quantitative imaging tasks. This study investigates potential benefits of tube voltage optimization, including fast kV switching, on material decomposition noise. In simulation studies, single kV scans including 80/100/120/140 kV were tested as well as an 80/140 fast kV switching pair. Fluences of spectra were normalized with respect to CTDI to keep dose neutral. An open-source spectral response model of a realistic Si detector was used in the Cramer-Rao lower bound calculation, which estimates the lower bound of the noise in material decomposition. A simulated CT scan of an anthropomorphic head phantom was performed for noise analysis in the image domain Simulation results showed that a single kV can be optimized for specific imaging tasks depending on the object size, while fast kV switching can substantially reduce the noise in material decomposition compared to single kV scan. Additionally, noise can be further reduced with a fixed K- edge (Gd) filter during fast kV switching acquisitions.
引用
收藏
页数:6
相关论文
共 10 条
  • [1] Accelerating Monte Carlo simulations of photon transport in a voxelized geometry using a massively parallel graphics processing unit
    Badal, Andreu
    Badano, Aldo
    [J]. MEDICAL PHYSICS, 2009, 36 (11) : 4878 - 4880
  • [2] CATSIM : a new computer assisted tomography SIMulation environment
    De Man, Bruno
    Basu, Samit
    Chandra, Naveen
    Dunham, Bruce
    Edic, Pete
    Iatrou, Maria
    McOlash, Scott
    Sainath, Paavana
    Shaughnessy, Charlie
    Tower, Brendon
    Williams, Eugene
    [J]. MEDICAL IMAGING 2007: PHYSICS OF MEDICAL IMAGING, PTS 1-3, 2007, 6510
  • [3] Development of a realistic, dynamic digital brain phantom for CT Perfusion validation
    Divel, Sarah E.
    Segars, W. Paul
    Christensen, Soren
    Wintermark, Max
    Lansberg, Maarten G.
    Pelc, Norbert J.
    [J]. MEDICAL IMAGING 2016: PHYSICS OF MEDICAL IMAGING, 2016, 9783
  • [4] Spectrum Optimization in Photon Counting Detector Based Iodine K-Edge CT Imaging
    Feng, Mang
    Ji, Xu
    Treb, Kevin
    Zhang, Ran
    Chen, Guang-Hong
    Li, Ke
    [J]. MEDICAL IMAGING 2019: PHYSICS OF MEDICAL IMAGING, 2019, 10948
  • [5] Detective quantum efficiency of photon-counting CdTe and Si detectors for computed tomography: a simulation study
    Persson, Mats
    Wang, Adam
    Pelc, Norbert J.
    [J]. JOURNAL OF MEDICAL IMAGING, 2020, 7 (04)
  • [6] Cramer-Rao lower bound of basis image noise in multiple-energy x-ray imaging
    Roessl, E.
    Herrmann, C.
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2009, 54 (05) : 1307 - 1318
  • [7] Experimental feasibility of multi-energy photon-counting K-edge imaging in pre-clinical computed tomography
    Schlomka, J. P.
    Roessl, E.
    Dorscheid, R.
    Dill, S.
    Martens, G.
    Istel, T.
    Baeumer, C.
    Herrmann, C.
    Steadman, R.
    Zeitler, G.
    Livne, A.
    Proksa, R.
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2008, 53 (15) : 4031 - 4047
  • [8] Vision 20/20: Single photon counting x-ray detectors in medical imaging
    Taguchi, Katsuyuki
    Iwanczyk, Jan S.
    [J]. MEDICAL PHYSICS, 2013, 40 (10) : 100901
  • [9] Wang S., 2021, MED PHYS, V48
  • [10] Efficacy of fixed filtration for rapid kVp-switching dual energy x-ray systems
    Yao, Yuan
    Wang, Adam S.
    Pelc, Norbert J.
    [J]. MEDICAL PHYSICS, 2014, 41 (03)