Deep-silicon photon-counting x-ray projection denoising through reinforcement learning

被引:0
|
作者
Tanveer, Md Sayed [1 ]
Wiedeman, Christopher [2 ]
Li, Mengzhou [1 ]
Shi, Yongyi [1 ]
De Man, Bruno [3 ]
Maltz, Jonathan S. [4 ]
Wang, Ge [1 ]
机构
[1] Rensselaer Polytech Inst, Dept Biomed Engn, Troy, NY USA
[2] Rensselaer Polytech Inst, Dept Elect Comp & Syst Engn, Troy, NY USA
[3] GE HealthCare, 1 Res Circle, Niskayuna, NY USA
[4] GE HealthCare, Waukesha, WI USA
基金
美国国家卫生研究院;
关键词
Photon-counting CT; deep-silicon detector; projection denoising; artificial intelligence; neural network; deep reinforcement learning; multi-agent learning; RECONSTRUCTION; NETWORK;
D O I
10.3233/XST-230278
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
BACKGROUND: In recent years, deep reinforcement learning (RL) has been applied to various medical tasks and produced encouraging results. OBJECTIVE: In this paper, we demonstrate the feasibility of deep RL for denoising simulated deep-silicon photon-counting CT (PCCT) data in both full and interior scan modes. PCCT offers higher spatial and spectral resolution than conventional CT, requiring advanced denoising methods to suppress noise increase. METHODS: In this work, we apply a dueling double deep Q network (DDDQN) to denoise PCCT data for maximum contrast-to-noise ratio (CNR) and a multi-agent approach to handle data non-stationarity. RESULTS: Using our method, we obtained significant image quality improvement for single-channel scans and consistent improvement for all three channels of multichannel scans. For the single-channel interior scans, the PSNR (dB) and SSIM increased from 33.4078 and 0.9165 to 37.4167 and 0.9790 respectively. For the multichannel interior scans, the channel-wise PSNR (dB) increased from 31.2348, 30.7114, and 30.4667 to 31.6182, 30.9783, and 30.8427 respectively. Similarly, the SSIM improved from 0.9415, 0.9445, and 0.9336 to 0.9504, 0.9493, and 0.0326 respectively. CONCLUSIONS: Our results show that the RL approach improves image quality effectively, efficiently, and consistently across multiple spectral channels and has great potential in clinical applications.
引用
收藏
页码:173 / 205
页数:33
相关论文
共 50 条
  • [31] Modeling Spectral Distortions in Energy Resolved Photon-counting X-ray Detector
    Wang, Xiaolan
    Meier, Dirk
    Hugg, James
    Chowdhury, Samir
    Wagenaar, Douglas
    Patt, Bradley
    Frey, Eric
    2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 2010, : 3054 - 3057
  • [32] Material separation in x-ray CT with energy resolved photon-counting detectors
    Wang, Xiaolan
    Meier, Dirk
    Taguchi, Katsuyuki
    Wagenaar, Douglas J.
    Patt, Bradley E.
    Frey, Eric C.
    MEDICAL PHYSICS, 2011, 38 (03) : 1534 - 1546
  • [33] Mcps-range photon-counting X-ray computed tomography system
    Sato, Eiichi
    Oda, Yasuyuki
    Abudurexiti, Abulajiang
    Hagiwara, Osahiko
    Enomoto, Toshiyuki
    Sugimura, Shigeaki
    Endo, Haruyuki
    Sato, Shigehiro
    Ogawa, Akira
    Onagawa, Jun
    MEDICAL APPLICATIONS OF RADIATION DETECTORS, 2011, 8143
  • [34] Photon-counting soft X-ray telescope for the Solar-C mission
    Sakao, Taro
    Narukage, Noriyuki
    Shimojo, Masumi
    Tsuneta, Saku
    Suematsu, Yoshinori
    Miyazaki, Satoshi
    Imada, Shinsuke
    Nishizuka, Naoto
    Watanabe, Kyoko
    Dotani, Tadayasu
    DeLuca, Edward E.
    Ishikawa, Shin-nosuke
    SOLAR PHYSICS AND SPACE WEATHER INSTRUMENTATION IV, 2011, 8148
  • [35] Projection-based energy weighting on photon-counting X-ray images in digital subtraction mammography: a feasibility study
    Choi, Sung-Hoon
    Lee, Seung-Wan
    Choi, Yu-Na
    Lee, Young-Jin
    Kim, Hee-Joung
    MEDICAL IMAGING 2014: PHYSICS OF MEDICAL IMAGING, 2014, 9033
  • [36] X-ray spectroscopy with a photon-counting SiPM-based scintillation detector
    Ceravolo, S.
    Gargiulo, R.
    Paesani, D.
    Russo, A.
    Sarra, I.
    JOURNAL OF INSTRUMENTATION, 2023, 18 (09)
  • [37] Noise in energy-discriminating photon-counting x-ray imaging detectors
    Tanguay, Jesse
    Kim, Ho Kyung
    Cunningham, Ian A.
    MEDICAL IMAGING 2010: PHYSICS OF MEDICAL IMAGING, 2010, 7622
  • [38] Spectral X-ray phase contrast imaging with a CdTe photon-counting detector
    Navarrete, Carlos
    Procz, Simon
    Schuetz, Michael Kilian
    Roque, Gerardo
    Fey, Julian
    Avila, Carlos
    Olivo, Alessandro
    Fiederle, Michael
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2020, 971 (971):
  • [39] Material Separation in X-ray CT with Energy Resolved Photon-Counting Detectors
    Wang, X.
    Meier, D.
    Taguchi, K.
    Wagenaar, D. J.
    Patt, B. E.
    Frey, E. C.
    MEDICAL IMAGING 2011: PHYSICS OF MEDICAL IMAGING, 2011, 7961
  • [40] Characterization of energy response for photon-counting detectors using x-ray fluorescence
    Ding, Huanjun
    Cho, Hyo-Min
    Barber, William C.
    Iwanczyk, Jan S.
    Molloi, Sabee
    MEDICAL PHYSICS, 2014, 41 (12)