Literature DB >> 11058651

CT angiographic measurement of the carotid artery: optimizing visualization by manipulating window and level settings and contrast material attenuation.

Y Liu1, K D Hopper, D T Mauger, K A Addis.   

Abstract

PURPOSE: To evaluate a broad range of window and level settings for various contrast material attenuation coefficients and degrees of vascular stenosis to obtain the most accurate computed tomographic (CT) angiographic measurements.
MATERIALS AND METHODS: A total of 25, 480 measurements were made transversely (perpendicular to the lumen) and by means of maximum intensity projection (MIP) in a phantom with stenoses of 0%-100%, contrast material with attenuation coefficients of 150-350 HU, and 14 window and 13 level settings. Edge definition was also evaluated.
RESULTS: There was an inherent relationship between the contrast material attenuation coefficient and the optimal window and level settings in the measurement of stenoses at both transverse and MIP CT angiography. This relationship between the contrast material attenuation coefficient D: and the optimal settings for window W: and level L: was represented by the following simple equations: W:/D: = [-2 x (L:/D:)] + 1.3, where -0.2 < L:/D: < 0.5, and W:/D: = [3.3 x (L:/D:)] - 1.3, where 0.5 < L:/D: < 1.0. With a vascular contrast material attenuation coefficient of 250-350 HU, the best transverse and MIP display settings for the window and level were 96 and 150 HU, respectively.
CONCLUSION: The use of optimized window and level settings at CT angiography reduces measurement variability.

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Year:  2000        PMID: 11058651     DOI: 10.1148/radiology.217.2.r00oc32494

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  7 in total

1.  [CTA of carotid artery with different scanner types].

Authors:  M Lell; K Anders; C Leidecker; W Lang; W Bautz; M Uder
Journal:  Radiologe       Date:  2004-10       Impact factor: 0.635

2.  Multi-detector row CT angiography in the assessment of carotid artery disease in symptomatic patients: comparison with rotational angiography and digital subtraction angiography.

Authors:  Marja Berg; Zishu Zhang; Aki Ikonen; Petri Sipola; Reetta Kälviäinen; Hannu Manninen; Ritva Vanninen
Journal:  AJNR Am J Neuroradiol       Date:  2005-05       Impact factor: 3.825

3.  Evaluation of an improved technique for lumen path definition and lumen segmentation of atherosclerotic vessels in CT angiography.

Authors:  Evert F S van Velsen; Wiro J Niessen; Thomas T de Weert; Cécile de Monyé; Aad van der Lugt; Erik Meijering; Rik Stokking
Journal:  Eur Radiol       Date:  2006-11-01       Impact factor: 5.315

4.  CT angiographic analysis of carotid artery stenosis: comparison of manual assessment, semiautomatic vessel analysis, and digital subtraction angiography.

Authors:  H M Silvennoinen; S Ikonen; L Soinne; M Railo; L Valanne
Journal:  AJNR Am J Neuroradiol       Date:  2007-01       Impact factor: 3.825

5.  Intracranial carotid calcification on CT images as an indicator of atheromatous plaque: analysis of high-resolution CTA images using a 64-multidetector scanner.

Authors:  Michimasa Suzuki; Yutaka Ozaki; Shinji Komura; Atsushi Nakanishi
Journal:  Radiat Med       Date:  2007-10-26

6.  Grading of carotid artery stenosis with multidetector-row CT angiography: visual estimation or caliper measurements?

Authors:  Annet Waaijer; M Weber; M S van Leeuwen; J Kardux; W B Veldhuis; R Lo; F J A Beek; M Prokop
Journal:  Eur Radiol       Date:  2009-07-18       Impact factor: 5.315

7.  Optimisation of window settings for traditional and noise-optimised virtual monoenergetic imaging in dual-energy computed tomography pulmonary angiography.

Authors:  Tommaso D'Angelo; Andreas M Bucher; Lukas Lenga; Christophe T Arendt; Julia L Peterke; Damiano Caruso; Silvio Mazziotti; Alfredo Blandino; Giorgio Ascenti; Ahmed E Othman; Simon S Martin; Doris Leithner; Thomas J Vogl; Julian L Wichmann
Journal:  Eur Radiol       Date:  2017-10-10       Impact factor: 5.315

  7 in total

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