CT of the Lungs Reconstruction Algorithms improve Detection despite of Low Dose

被引:0
作者
Kessing, Richard
机构
来源
ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN | 2016年 / 188卷 / 01期
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
引用
收藏
页码:14 / 14
页数:1
相关论文
共 50 条
  • [21] Deep learning-based reconstruction can improve the image quality of low radiation dose head CT
    Nagayama, Yasunori
    Iwashita, Koya
    Maruyama, Natsuki
    Uetani, Hiroyuki
    Goto, Makoto
    Sakabe, Daisuke
    Emoto, Takafumi
    Nakato, Kengo
    Shigematsu, Shinsuke
    Kato, Yuki
    Takada, Sentaro
    Kidoh, Masafumi
    Oda, Seitaro
    Nakaura, Takeshi
    Hatemura, Masahiro
    Ueda, Mitsuharu
    Mukasa, Akitake
    Hirai, Toshinori
    EUROPEAN RADIOLOGY, 2023, 33 (05) : 3253 - 3265
  • [22] Fractional scan algorithms for low-dose perfusion CT
    Hsieh, J
    Wei, YC
    Wang, G
    MEDICAL PHYSICS, 2004, 31 (05) : 1254 - 1257
  • [23] Iterative image reconstruction algorithms in coronary CT angiography improve the detection of lipid-core plaque – a comparison with histology
    Stefan B. Puchner
    Maros Ferencik
    Pal Maurovich-Horvat
    Masataka Nakano
    Fumiyuki Otsuka
    Hans-Ulrich Kauczor
    Renu Virmani
    Udo Hoffmann
    Christopher L. Schlett
    European Radiology, 2015, 25 : 15 - 23
  • [24] Low-dose CT Reconstruction Based on Multiscale Dictionary
    Bai, Ti
    Mou, Xuanqin
    Xu, Qiong
    Zhang, Yanbo
    MEDICAL IMAGING 2013: PHYSICS OF MEDICAL IMAGING, 2013, 8668
  • [25] Optimal image reconstruction for detection and characterization of small pulmonary nodules during low-dose CT
    SayedMasoud Hashemi
    Hatem Mehrez
    Richard S. C. Cobbold
    Narinder S. Paul
    European Radiology, 2014, 24 : 1239 - 1250
  • [26] Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?
    Peijie Lyu
    Nana Liu
    Brian Harrawood
    Justin Solomon
    Huixia Wang
    Yan Chen
    Francesca Rigiroli
    Yuqin Ding
    Fides Regina Schwartz
    Hanyu Jiang
    Carolyn Lowry
    Luotong Wang
    Ehsan Samei
    Jianbo Gao
    Daniele Marin
    European Radiology, 2023, 33 : 1629 - 1640
  • [27] Linearized Bregman iterations for low-dose CT reconstruction
    Wang, L.-Y. (wangliyan@seu.edu.cn), 1600, Science Press (35): : 2418 - 2424
  • [28] Iterative image reconstruction algorithms in coronary CT angiography improve the detection of lipid-core plaque - a comparison with histology
    Puchner, Stefan B.
    Ferencik, Maros
    Maurovich-Horvat, Pal
    Nakano, Masataka
    Otsuka, Fumiyuki
    Kauczor, Hans-Ulrich
    Virmani, Renu
    Hoffmann, Udo
    Schlett, Christopher L.
    EUROPEAN RADIOLOGY, 2015, 25 (01) : 15 - 23
  • [29] LOW DOSE CT IMAGE RECONSTRUCTION WITH LEARNED SPARSIFYING TRANSFORM
    Zheng, Xuehang
    Lu, Zening
    Ravishankar, Saiprasad
    Long, Yong
    Fessler, Jeffrey A.
    2016 IEEE 12TH IMAGE, VIDEO, AND MULTIDIMENSIONAL SIGNAL PROCESSING WORKSHOP (IVMSP), 2016,
  • [30] Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?
    Lyu, Peijie
    Liu, Nana
    Harrawood, Brian
    Solomon, Justin
    Wang, Huixia
    Chen, Yan
    Rigiroli, Francesca
    Ding, Yuqin
    Schwartz, Fides Regina
    Jiang, Hanyu
    Lowry, Carolyn
    Wang, Luotong
    Samei, Ehsan
    Gao, Jianbo
    Marin, Daniele
    EUROPEAN RADIOLOGY, 2023, 33 (03) : 1629 - 1640