Literature DB >> 6602510

CT-number variability in thoracic geometry.

E C McCullough, R L Morin.   

Abstract

The use of absolute CT numbers for in vivo tissue characterization is compromised by a number of technical and geometrical factors. A phantom simulating thoracic geometry and containing intrapulmonary "features" was scanned on three CT scanners allowing for assessment of CT-number variations with a wide number of scanning and geometric parameters. It was found that, with thoracic geometry, the absolute CT numbers of intrapulmonary features (e.g., solitary pulmonary nodules) can vary significantly due to a number of CT scanning parameters, such as geometry, CT scanner used, and/or time. Such variations must be taken into account when establishing criteria for characterizing tissue types using CT numbers. However, results show that variations in quantitative behavior with reasonable changes in patient geometry do not preclude meaningful characterization of solitary lung nodules (using CT-number averages) using CT scans for the three CT scanners studied, providing CT-number threshold data are derived from the same model scanner and operating conditions. The use of CT-number patterns within high-density intrapulmonary pathology (e.g., solitary pulmonary nodules) is compromised by the fact that high CT-number patterns were found to be a function of the reconstruction filter used and object size as well as being influenced by details of the surrounding medium.

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Year:  1983        PMID: 6602510     DOI: 10.2214/ajr.141.1.135

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


  6 in total

1.  Precision of the measurement of CT numbers: comparison of dual-energy CT spectral imaging with fast kVp switching and conventional CT with phantoms.

Authors:  Izuru Matsuda; Masaaki Akahane; Jiro Sato; Masaki Katsura; Shigeru Kiryu; Naoki Yoshioka; Akira Kunimatsu; Kenji Ino; Kuni Ohtomo
Journal:  Jpn J Radiol       Date:  2011-12-02       Impact factor: 2.374

2.  Effect of blood vessels on measurement of nodule volume in a chest phantom.

Authors:  Jane P Ko; Rachel Marcus; Elan Bomsztyk; James S Babb; Cornel Stefanescu; Manmeen Kaur; David P Naidich; Henry Rusinek
Journal:  Radiology       Date:  2006-04       Impact factor: 11.105

3.  Quantitative MDCT analysis of pulmonary solid nodules using three parameters.

Authors:  Naoki Kutuya; Yutaka Ozaki; Yoshihisa Kurosaki
Journal:  Radiat Med       Date:  2008-09-04

4.  Dating of Early Subdural Haematoma: A Correlative Clinico-Radiological Study.

Authors:  Murali Gundu Rao; Dalbir Singh; Niranjan Khandelwal; Suresh Kumar Sharma
Journal:  J Clin Diagn Res       Date:  2016-04-01

Review 5.  Radiographically detectable calcium and atherosclerosis: the connection and its exploitation.

Authors:  R Detrano; S Molloi
Journal:  Int J Card Imaging       Date:  1992

6.  Computed Tomography Number Measurement Consistency Under Different Beam Hardening Conditions: Comparison Between Dual-Energy Spectral Computed Tomography and Conventional Computed Tomography Imaging in Phantom Experiment.

Authors:  Tian He; Xiaojun Qian; Renyou Zhai; Zongtao Yang
Journal:  J Comput Assist Tomogr       Date:  2015 Nov-Dec       Impact factor: 1.826

  6 in total

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