Literature DB >> 23493226

Adaptive statistical iterative reconstruction algorithm for measurement of vascular diameter on computed tomographic angiography in vitro.

Shigeru Suzuki1, Yoshinori Nishiyama, Sadatoshi Kuwahara, Satoshi Hikosaka, Kouji Monma, Hiroyuki Odagiri.   

Abstract

OBJECTIVES: To evaluate the accuracy of vascular diameter measurement on computed tomographic (CT) angiography using adaptive statistical iterative reconstruction (ASIR).
METHODS: We scanned 9 vascular models with 3 wall thicknesses and filled with 3 densities of contrast material using a 64-detector CT unit, reconstructed images using ASIR (0%, 20%, 40%, 60%, 80%, and 100%), and repeated 20 separate diameter measurements for each model. We evaluated the distribution of image noise for the 0% and 100% ASIR.
RESULTS: For all vascular models, measurement errors differed significantly (P < 0.0001) among the percentages of ASIR, tending to increase as the percentage of ASIR increased for models filled with 246 and 354 Hounsfield units of contrast medium. The degree of image noise depended on the substance within the model with 100% ASIR.
CONCLUSIONS: Adaptive statistical iterative reconstruction can enhance errors in diameter measurement on CT angiography and should be applied carefully to evaluate small vessels.

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Year:  2013        PMID: 23493226     DOI: 10.1097/RCT.0b013e3182811127

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  1 in total

Review 1.  Computed tomography angiography in patients with active gastrointestinal bleeding.

Authors:  Fatima Regina Silva Reis; Patricia Prando Cardia; Giuseppe D'Ippolito
Journal:  Radiol Bras       Date:  2015 Nov-Dec
  1 in total

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