Literature DB >> 19020237

Automated cardiac phase selection with 64-MDCT coronary angiography.

Raoul M S Joemai1, Jacob Geleijns, Wouter J H Veldkamp, Albert de Roos, Lucia J M Kroft.   

Abstract

OBJECTIVE: The aim of this study was to assess three different phase-selection methods for obtaining optimal CT coronary artery image quality.
MATERIALS AND METHODS: ECG-gated CT coronary angiography scans of 40 patients (23 men, 17 women; mean age, 56 years) were retrieved. The patient group was composed of 20 consecutive patients with heart rates < or = 65 beats per minute (bpm) and 20 consecutive patients with heart rates > 65 bpm. Three phase-selection methods were evaluated: fixed phase selection, manual phase selection, and automated phase selection. Two scoring systems were used to evaluate diagnostic quality: scoring of axial images on a 5-point scale and scoring of multiplanar reconstructions (MPRs) on a forced-choice 3-point preference scale. Differences were tested by Wilcoxon's signed rank test for the entire patient group and the two subgroups including patients with heart rates < or = 65 bpm and those with heart rates > 65 bpm.
RESULTS: Axial image evaluation of the entire patient group showed statistically significant superior image quality for the manual phase-selection method compared with the predefined phase-selection method and no statistically significant differences were found for the other comparisons. Analysis at heart rates < or = 65 bpm showed no significant differences between phase-selection methods. Analysis at heart rates > 65 bpm showed the best results for the automated phase-selection method, and image quality was significantly better for the automated and manual phase-selection methods than for the predefined phase-selection method.
CONCLUSION: The automated phase-selection method accurately detects the optimal diagnostic phase for CT coronary artery evaluation and has the potential to reduce operator time needed for image reconstruction.

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Year:  2008        PMID: 19020237     DOI: 10.2214/AJR.08.1039

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


  5 in total

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Authors:  Qi Zhang; Roy Eagleson; Terry M Peters
Journal:  J Digit Imaging       Date:  2011-08       Impact factor: 4.056

2.  Comparison of image quality of 64-slice multidetector CT coronary CT angiography using automated and manual multiphase methods for the determination of optimal phases for image reconstruction in patients with various mean heart rates.

Authors:  Young Jun Cho; Yeon Hyeon Choe; Moo-Sik Lee
Journal:  Int J Cardiovasc Imaging       Date:  2009-12-18       Impact factor: 2.357

3.  Coronary artery analysis: Computer-assisted selection of best-quality segments in multiple-phase coronary CT angiography.

Authors:  Chuan Zhou; Heang-Ping Chan; Lubomir M Hadjiiski; Aamer Chughtai; Jun Wei; Ella A Kazerooni
Journal:  Med Phys       Date:  2016-10       Impact factor: 4.071

4.  Coronary CT angiography (cCTA): automated registration of coronary arterial trees from multiple phases.

Authors:  Lubomir Hadjiiski; Chuan Zhou; Heang-Ping Chan; Aamer Chughtai; Prachi Agarwal; Jean Kuriakose; Ella Kazerooni; Jun Wei; Smita Patel
Journal:  Phys Med Biol       Date:  2014-07-31       Impact factor: 3.609

5.  Best-Quality Vessel Identification Using Vessel Quality Measure in Multiple-Phase Coronary CT Angiography.

Authors:  Lubomir Hadjiiski; Jordan Liu; Heang-Ping Chan; Chuan Zhou; Jun Wei; Aamer Chughtai; Jean Kuriakose; Prachi Agarwal; Ella Kazerooni
Journal:  Comput Math Methods Med       Date:  2016-09-19       Impact factor: 2.238

  5 in total

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