Literature DB >> 17646435

Hybrid reconstruction kernel: optimized chest CT.

William M Strub, Kenneth L Weiss, Dongmei Sun.   

Abstract

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Year:  2007        PMID: 17646435     DOI: 10.2214/AJR.07.2244

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


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  4 in total

1.  Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique.

Authors:  Masaki Katsura; Izuru Matsuda; Masaaki Akahane; Jiro Sato; Hiroyuki Akai; Koichiro Yasaka; Akira Kunimatsu; Kuni Ohtomo
Journal:  Eur Radiol       Date:  2012-04-27       Impact factor: 5.315

2.  Image quality of CT angiography with model-based iterative reconstruction in young children with congenital heart disease: comparison with filtered back projection and adaptive statistical iterative reconstruction.

Authors:  Sung Sil Son; Ki Seok Choo; Ung Bae Jeon; Gye Rok Jeon; Kyung Jin Nam; Tae Un Kim; Jeong A Yeom; Jae Yeon Hwang; Dong Wook Jeong; Soo Jin Lim
Journal:  Int J Cardiovasc Imaging       Date:  2014-11-21       Impact factor: 2.357

3.  Image quality of mixed convolution kernel in thoracic computed tomography.

Authors:  Jakob Neubauer; Eva Maria Spira; Juliane Strube; Mathias Langer; Christian Voss; Elmar Kotter
Journal:  Medicine (Baltimore)       Date:  2016-11       Impact factor: 1.889

4.  Effect of Hybrid Kernel and Iterative Reconstruction on Objective and Subjective Analysis of Lung Nodule Calcification in Low-Dose Chest CT.

Authors:  Seul Gi Hong; Eun-Ju Kang; Jae Hyung Park; Won Jin Choi; Ki-Nam Lee; Hee Jin Kwon; Dong-Ho Ha; Dong Won Kim; Sang Hyeon Kim; Jeong-Hyun Jo; Jongmin Lee
Journal:  Korean J Radiol       Date:  2018-08-06       Impact factor: 3.500

  4 in total

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