Sinogram-based Deep Learning Partial Volume Correction for Lu177-PSMA-SPECT

被引：0
|
作者：
Kaprelian, T.
Extebeste, A.
Sarrut, D.
机构：
[1] Univ Lyon, CREATIS, Lyon, France
[2] CNRS, UMR5220, Lyon, France
[3] INSERM, U1044, Lyon, France
[4] INSA Lyon, Lyon, France
[5] Univ Lyon 1, Lyon, France
[6] Ctr Leon Berard, Lyon, France
来源：
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING | 2024年 / 51卷
关键词：
D O I：
暂无
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：
EP-0798
引用
收藏
页码：S750 / S751
页数：2
相关论文
共 50 条
  • [31] Investigating Lucy-Richardson deconvolution for partial volume correction for image-based dosimetry after 177Lu radionuclide therapy
    Ells, Z.
    Liubchenko, G.
    Rumiantcev, M.
    Sennung, D.
    Czernin, J.
    Calais, J.
    Dahlbom, M.
    Resch, S.
    Ziegler, S.
    Brendel, M.
    Unterrainer, L.
    Boening, G.
    Delker, A.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2024, 51 : S800 - S801
  • [32] An improved method for voxel-based partial volume correction in PET and SPECT
    Erlandsson, Kjell
    Wong, A. T.
    van Heertum, R.
    Mann, J. J.
    Parsey, R. V.
    NEUROIMAGE, 2006, 31 : T84 - T84
  • [33] Technical Note: Optimal sampling schedules for kidney dosimetry based on the hybrid planar/SPECT method in 177Lu-PSMA therapy
    Rinscheid, Andreas
    Kletting, Peter
    Eiber, Matthias
    Beer, Ambros J.
    Glatting, Gerhard
    MEDICAL PHYSICS, 2019, 46 (12) : 5861 - 5866
  • [34] Deep learning for 177Lu-PSMA dose prediction from pre-therapeutic 68Ga-PSMA PET/CT radiomics features
    Balaji, Vibha
    Yang, Fan
    Lei, Bowen
    Luo, Jie
    Heidari, Pedram
    Li, Quanzheng
    Dutta, Joyita
    JOURNAL OF NUCLEAR MEDICINE, 2024, 65
  • [35] A Deep Learning-Enabled Iterative Reconstruction of Ultra-Low-Dose CT: Use of Synthetic Sinogram-based Noise Simulation Technique
    Ahn, Chul Kyun
    Yang, Zepa
    Heo, Changyong
    Jin, Hyeongmin
    Park, Byungjun
    Kim, Jong Hyo
    MEDICAL IMAGING 2018: PHYSICS OF MEDICAL IMAGING, 2018, 10573
  • [36] Improvement of 177Lu SPECT Images Reconstructed with Deep Learning Generated Synthetic Projections from Sparsely Acquired Projections
    Wikberg, E.
    Van Essen, M.
    Ryden, T.
    Svensson, J.
    Gjertsson, P.
    Bernhardt, P.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 49 (SUPPL 1) : S397 - S398
  • [37] Deep learning generation of intermediate projections and Monte Carlo based reconstruction improves 177Lu SPECT images reconstructed with sparse acquired projections
    Ryden, Tobias
    Marin, Ida
    van Essen, Martijn
    Svensson, Johanna
    Bernhardt, Peter
    JOURNAL OF NUCLEAR MEDICINE, 2019, 60
  • [38] Deep-learning-based methods of attenuation correction for SPECT and PET
    Chen, Xiongchao
    Liu, Chi
    JOURNAL OF NUCLEAR CARDIOLOGY, 2023, 30 (05) : 1859 - 1878
  • [39] Deep-learning-based methods of attenuation correction for SPECT and PET
    Xiongchao Chen
    Chi Liu
    Journal of Nuclear Cardiology, 2023, 30 : 1859 - 1878
  • [40] Impact Of Small Patient Motion During SPECT/CT Scans Onto Activity Quantification Of 177Lu-PSMA Based on A Phantom Simulation
    Resch, S.
    Shen, X.
    Reymann, M.
    Massanes, F. Basi
    Bartenstein, P.
    Platsch, G.
    Vija, A.
    Boening, G.
    Delker, A.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (SUPPL 1) : S373 - S374
12345