Literature DB >> 27993096

Impact of hybrid iterative reconstruction on unenhanced liver CT.

Masatoshi Kondo1, Akihiro Nishie2, Nobuhiro Fujita2, Koichiro Morita2, Takashi Shirasaka1, Hisao Arimura1, Yasuhiko Nakamura1, Hiroshi Honda2.   

Abstract

OBJECTIVE: To clarify the impact of hybrid iterative reconstruction (HIR) and filtered back projection (FBP) on unenhanced liver CT.
METHODS: 30 patients with hepatocellular carcinoma (HCC) underwent unenhanced CT. The images were reconstructed with FBP and weak (Level 1), mild (Level 4) and strong (Level 7) levels of HIR (iDose4; Philips Medical Systems, Cleveland, OH). Quantitatively, attenuations of the HCC (with the largest lesion in each case), hepatic parenchyma (the average of four segments) and image noise (standard deviation of the attenuations in hepatic parenchyma) were compared between the four kinds of reconstruction using the two-tailed paired t-test. Qualitatively, liver lesion conspicuity and characterization were also compared using the Wilcoxon signed-rank test.
RESULTS: Attenuation of the liver lesion with the strong level of HIR was significantly higher than that with FBP (p = 0.0005). Attenuations of hepatic parenchyma with all three HIR levels were significantly lower than that with FBP (p ≤ 0.0002 in all comparisons). Image noise with each of the three HIR levels was significantly smaller than that with FBP (p < 0.0001 in any comparison). There was no significant difference in lesion conspicuity and characterization between FBP and each HIR level (p ≥ 0.0819 in all comparisons).
CONCLUSION: Although attenuations of the liver lesion and hepatic parenchyma were significantly different between HIR and FBP, HIR had no significant effect on lesion conspicuity and characterization. Advances in knowledge: Attenuations of liver lesions and hepatic parenchyma differ significantly between HIR and FBP images.

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Year:  2016        PMID: 27993096      PMCID: PMC5685099          DOI: 10.1259/bjr.20150670

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  13 in total

1.  Abdominal CT: comparison of low-dose CT with adaptive statistical iterative reconstruction and routine-dose CT with filtered back projection in 53 patients.

Authors:  Yoshiko Sagara; Amy K Hara; William Pavlicek; Alvin C Silva; Robert G Paden; Qing Wu
Journal:  AJR Am J Roentgenol       Date:  2010-09       Impact factor: 3.959

2.  Comparison of hybrid and pure iterative reconstruction techniques with conventional filtered back projection: dose reduction potential in the abdomen.

Authors:  Sarabjeet Singh; Mannudeep K Kalra; Synho Do; Jean Baptiste Thibault; Homer Pien; Owen J O'Connor; Owen O J Connor; Michael A Blake
Journal:  J Comput Assist Tomogr       Date:  2012 May-Jun       Impact factor: 1.826

3.  An algorithm for noise suppression in dual energy CT material density images.

Authors:  W A Kalender; E Klotz; L Kostaridou
Journal:  IEEE Trans Med Imaging       Date:  1988       Impact factor: 10.048

4.  Filtered back projection, adaptive statistical iterative reconstruction, and a model-based iterative reconstruction in abdominal CT: an experimental clinical study.

Authors:  Zsuzsanna Deák; Jochen M Grimm; Marcus Treitl; Lucas L Geyer; Ulrich Linsenmaier; Markus Körner; Maximilian F Reiser; Stefan Wirth
Journal:  Radiology       Date:  2012-11-20       Impact factor: 11.105

5.  Feasibility of low-radiation-dose CT for abdominal examinations with hybrid iterative reconstruction algorithm: low-contrast phantom study.

Authors:  Masatoshi Kondo; Masamitsu Hatakenaka; Ko Higuchi; Taisuke Fujioka; Takashi Shirasaka; Yasuhiko Nakamura; Katsumasa Nakamura; Takashi Yoshiura; Hiroshi Honda
Journal:  Radiol Phys Technol       Date:  2013-01-09

6.  Noise-reducing algorithms do not necessarily provide superior dose optimisation for hepatic lesion detection with multidetector CT.

Authors:  K L Dobeli; S J Lewis; S R Meikle; D L Thiele; P C Brennan
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

7.  Advanced modelled iterative reconstruction for abdominal CT: qualitative and quantitative evaluation.

Authors:  S Gordic; L Desbiolles; P Stolzmann; L Gantner; S Leschka; D B Husarik; H Alkadhi
Journal:  Clin Radiol       Date:  2014-09-18       Impact factor: 2.350

8.  Abdominal CT: comparison of adaptive statistical iterative and filtered back projection reconstruction techniques.

Authors:  Sarabjeet Singh; Mannudeep K Kalra; Jiang Hsieh; Paul E Licato; Synho Do; Homer H Pien; Michael A Blake
Journal:  Radiology       Date:  2010-09-09       Impact factor: 11.105

9.  Model-based iterative reconstruction versus adaptive statistical iterative reconstruction and filtered back projection in liver 64-MDCT: focal lesion detection, lesion conspicuity, and image noise.

Authors:  William P Shuman; Doug E Green; Janet M Busey; Orpheus Kolokythas; Lee M Mitsumori; Kent M Koprowicz; Jean-Baptiste Thibault; Jiang Hsieh; Adam M Alessio; Eunice Choi; Paul E Kinahan
Journal:  AJR Am J Roentgenol       Date:  2013-05       Impact factor: 3.959

10.  Computed tomography of sclerosing hepatocellular carcinoma.

Authors:  J Yoshida; T Takayama; J Yamamoto; K Shimada; T Kosuge; S Yamasaki; H Hasegawa; N Moriyama; K Takayasu; Y Muramatsu
Journal:  Comput Med Imaging Graph       Date:  1992 Mar-Apr       Impact factor: 4.790

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