Literature DB >> 15900057

Effectiveness of flexible noise control image processing for digital portal images using computed radiography.

S Yamada1, K Murase.   

Abstract

The purpose of this study was to evaluate the clinical efficacy of flexible noise control (FNC) image processing in off-line computed radiography (CR) portal images. An observer study was designed to compare FNC with multiobjective frequency processing (MFP) in images acquired using a CR portal imaging device (CRPID). The image processing of MFP and FNC used the same data and required no additional irradiation of patients, and all images were printed on 10-bit grey-level dry laser film. Four radiation technologists and one oncologist served as observers and evaluated 40 sets of images for three different treatment sites: brain, lung and pelvis. Six to 10 anatomical landmarks were selected from each treatment site. Each observer was asked to rate each landmark in terms of its clinical visibility and rate the ease of making the pertinent verification in the MFP- and FNC-processed images. In the ratings of the visibility of landmarks and for the verification of treatment ports, FNC-processed images were more visible than MFP-processed images except for several landmarks in the anteroposterior (AP) pelvis such as the pubic symphysis. The visibility of landmarks in FNC-processed images was comparable with that in MFP-processed images. The verification of treatment ports using the CRPID with FNC was generally achievable. In conclusion, this study suggests that FNC is effective for image processing of CR portal images.

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Mesh:

Year:  2005        PMID: 15900057     DOI: 10.1259/bjr/26039330

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  8 in total

1.  Patient setup verification procedure for a portal image in a computed radiography system with a high-resolution liquid-crystal display monitor.

Authors:  Hideki Fujita; Michihiro Yamaguchi; Yuichi Bessho; Tomio Fujioka; Haruyuki Fukuda; Kenya Murase
Journal:  Radiol Phys Technol       Date:  2009-11-20

2.  Method for reducing noise in X-ray images by averaging pixels based on the normalized difference with the relevant pixel.

Authors:  Masayuki Nishiki; Kunio Shiraishi; Takuya Sakaguchi; Kyojiro Nambu
Journal:  Radiol Phys Technol       Date:  2008-06-20

3.  Relationship between radiation dose reduction and image quality change in photostimulable phosphor luminescence X-ray imaging systems.

Authors:  T Sakurai; R Kawamata; Y Kozai; Y Kaku; K Nakamura; M Saito; H Wakao; I Kashima
Journal:  Dentomaxillofac Radiol       Date:  2010-05       Impact factor: 2.419

4.  A pilot study of architectural distortion detection in mammograms based on characteristics of line shadows.

Authors:  Mitsutaka Nemoto; Soshi Honmura; Akinobu Shimizu; Daisuke Furukawa; Hidefumi Kobatake; Shigeru Nawano
Journal:  Int J Comput Assist Radiol Surg       Date:  2008-10-28       Impact factor: 2.924

5.  Dependency of image quality on acquisition protocol and image processing in chest tomosynthesis-a visual grading study based on clinical data.

Authors:  Masoud Jadidi; Magnus Båth; Sven Nyrén
Journal:  Br J Radiol       Date:  2018-04-09       Impact factor: 3.039

6.  Evaluation of three presets for four-dimensional cone beam CT in lung radiotherapy verification by visual grading analysis.

Authors:  Sally A Kember; Vibeke N Hansen; Martin F Fast; Simeon Nill; Fiona McDonald; Merina Ahmed; Karen Thomas; Helen A McNair
Journal:  Br J Radiol       Date:  2016-04-25       Impact factor: 3.039

7.  Effectiveness of the single-shot dual-energy subtraction technique for portal images.

Authors:  Hideki Fujita; Sakon Morimi; Michihiro Yamaguchi; Haruyuki Fukuda; Kenya Murase
Journal:  J Appl Clin Med Phys       Date:  2011-11-15       Impact factor: 2.102

8.  Detection of patient setup errors with a portal image - DRR registration software application.

Authors:  Kenneth Sutherland; Masayori Ishikawa; Gerard Bengua; Yoichi M Ito; Yoshiko Miyamoto; Hiroki Shirato
Journal:  J Appl Clin Med Phys       Date:  2011-02-18       Impact factor: 2.102

  8 in total

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