Literature DB >> 16861543

Visualization of normal pulmonary fissures on sagittal multiplanar reconstruction MDCT.

Koji Takahashi1, Brad Thompson, William Stanford, Yutaka Sato, Kenichi Nagasawa, Hiroaki Sato, Makoto Kubota, Ayako Kashiba, Hiroyuki Sugimori.   

Abstract

OBJECTIVE: Delineation of the interlobar fissures on multiplanar reconstruction (MPR) images is useful to assess masses at the fissures for invasion into adjacent lobes. We performed this study to determine the appropriate MDCT protocol to visualize the interlobar fissures on sagittal MPR images.
MATERIALS AND METHODS: For the phantom studies, radiographic film was used to replicate the interlobar fissures. For the clinical studies, we obtained MDCT scans of 130 patients with normal interlobar fissures. Visualization of the interlobar fissures on sagittal MPR was assessed using the following scanning parameters: scan collimations of 0.5, 1, 2, and 3 mm with helical pitches of 1 and 1.5 for the phantom studies; and scan collimations of 0.5, 1, 2, and 3 mm with a helical pitch of 1.5 and a scan collimation of 2 mm with a helical pitch of 1 for the clinical studies.
RESULTS: To visualize fissures as a sharp line, a 0.5- or 1-mm collimation was required for the major fissure and 0.5 mm for the minor fissure in the phantom studies. In the clinical studies, 0.5-mm-collimation MPR images depicted interlobar fissures as a sharp line in all cases. Fissures on MPR images using 1-, 2-, and 3-mm collimations appeared as a sharp line in 77.5-95.0%, 0-43.3%, and 0% of cases, respectively.
CONCLUSION: Volume data obtained using a 1-mm collimation are required to visualize all the interlobar fissures as a sharp line on sagittal MPR images except the minor fissure and superior portion of the right major fissure, for which a 0.5-mm collimation is required.

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Year:  2006        PMID: 16861543     DOI: 10.2214/AJR.05.0147

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


  4 in total

1.  Can preoperative computed tomography of the chest predict completeness of the major pulmonary fissure at surgery?

Authors:  Colin Schieman; John H MacGregor; Elizabeth Kelly; Andrew Graham; Sean P McFadden; Gary Gelfand; Sean C Grondin
Journal:  Can J Surg       Date:  2011-08       Impact factor: 2.089

2.  A Computational geometry approach to automated pulmonary fissure segmentation in CT examinations.

Authors:  Jiantao Pu; Joseph K Leader; Bin Zheng; Friedrich Knollmann; Carl Fuhrman; Frank C Sciurba; David Gur
Journal:  IEEE Trans Med Imaging       Date:  2008-12-09       Impact factor: 10.048

3.  Comparison of the rebuilding effects of different computed tomography scanners and reconstructive settings for the five-line sign in normal interlobular fissures.

Authors:  Anle Yu; Qun Li; Yuefu Zhan; Jinlong He
Journal:  Eur Radiol Exp       Date:  2017-10-19

4.  Automatic pulmonary fissure detection and lobe segmentation in CT chest images.

Authors:  Shouliang Qi; Han J W van Triest; Yong Yue; Mingjie Xu; Yan Kang
Journal:  Biomed Eng Online       Date:  2014-05-07       Impact factor: 2.819

  4 in total

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