Literature DB >> 30890673

[Evaluation of Low-contrast Detectability of Iterative Reconstruction Algorithm in High-speed CT Technology for Head].

Shota Masuda1, Koichi Sugisawa1, Kazuya Minamishima1, Akihisa Yamazaki1, Toshio Watanabe1.   

Abstract

PURPOSE: The purpose of this study was to assess the feasibility of high-speed CT technology for head without deterioration of low-contrast detectability using the brain LCD (Canon Medical Systems) of iterative reconstruction.
METHODS: System performance (SP) function analysis, low-contrast object specific contrast-to-noise ratio (CNRLO) analysis, and visual evaluation using Scheffe's paired comparison were performed. Additionally, analysis of the correlation of CNRLO and visual scores was performed. SP was performed with the self-made phantom. CNRLO was calculated with the catphan 504 phantom (CTP 515). Visual evaluation was performed using the brain phantom which simulated such as cerebral infarction and investigated on a fivepoint scale. All images were acquired with pitch factor of 0.61 (low pitch) and 1.40 (high pitch). All images were reconstructed with filtered back projection (FBP), brain LCD standard (LCD STD) and strong (LCD STR).
RESULTS: SP of brain LCD improved compared with FBP. CNRLO of FBP decreased in high pitch compared with low pitch. CNRLO of brain LCD images acquired by low- and high pitch were improved compared with FBP. Visual scores denoted similar trends to that of CNRLO and there was high correlation with CNRLO.
CONCLUSION: It was suggested that using brain LCD can achieve the high speed CT technology for head without deterioration of low-contrast detectability.

Entities:  

Keywords:  computed tomography (CT); filtered back projection (FBP); helical pitch; iterative reconstruction (IR); low-contrast

Mesh:

Year:  2019        PMID: 30890673     DOI: 10.6009/jjrt.2019_JSRT_75.3.254

Source DB:  PubMed          Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi        ISSN: 0369-4305


  1 in total

1.  Model-Based Iterative Reconstruction (MBIR) for ASPECT Scoring in Acute Stroke Patients Selection: Comparison to rCBV and Follow-Up Imaging.

Authors:  Brieg Dissaux; Mourad Cheddad El Aouni; Julien Ognard; Jean-Christophe Gentric
Journal:  Tomography       Date:  2022-05-05
  1 in total

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