Literature DB >> 17082699

3-dimensional adaptive raw-data filter: evaluation in low dose chest multidetector-row computed tomography.

Takeshi Kubo1, Mizuki Nishino, Aya Kino, Norihiko Yoshimura, Pei-Jan Paul Lin, Masaya Takahashi, Vassilios Raptopoulos, Hiroto Hatabu.   

Abstract

OBJECTIVES: To evaluate a 3-dimensional adaptive raw-data filter in reducing streak artifacts in low dose chest computed tomographic (CT) images.
METHODS: Fourteen adult patients who underwent low dose chest CT examination (parameters: 25 or 50 mAs, 120 kV) on 64-detector CTscanner were included in this study. We prepared 2 sets of contiguous 5-mm thick images by reconstruction with and without 3-dimensional adaptive raw-data filter (filter-processed and unprocessed images). Streak artifacts and visualization of peripheral vessels in both filter-processed and unprocessed images were evaluated using a 5-point scale. Upper, middle, and lower thorax were evaluated separately.
RESULTS: The difference in artifact severity was statistically significant in upper and lower thorax (P = 0.002 and 0.03, respectively), whereas it was not significant in middle thorax (P = 0.13). The difference in the visibility of peripheral pulmonary vessels was not statistically significant in all anatomical regions.
CONCLUSIONS: The 3-dimensional adaptive raw-data filter reduced streak artifacts in low dose chest CT in upper and lower thorax.

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Year:  2006        PMID: 17082699     DOI: 10.1097/01.rct.0000221951.60393.64

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


  1 in total

1.  Standard-dose vs. low-dose CT protocols in the evaluation of localized lung lesions: Capability for lesion characterization-iLEAD study.

Authors:  Takeshi Kubo; Yoshiharu Ohno; Daisuke Takenaka; Mizuki Nishino; Shiva Gautam; Kazuro Sugimura; Hans Ulrich Kauczor; Hiroto Hatabu
Journal:  Eur J Radiol Open       Date:  2016-03-24
  1 in total

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