Literature DB >> 21741870

Impact of miscentering on patient dose and image noise in x-ray CT imaging: phantom and clinical studies.

M A Habibzadeh1, M R Ay, A R Kamali Asl, H Ghadiri, H Zaidi.   

Abstract

The operation of the bowtie filter in x-ray CT is correct if the object being scanned is properly centered in the scanner's field-of-view. Otherwise, the dose delivered to the patient and image noise will deviate from optimal setting. We investigate the effect of miscentering on image noise and surface dose on three commercial CT scanners. Six cylindrical phantoms with different size and material were scanned on each scanner. The phantoms were positioned at 0, 2, 4 and 6 cm below the isocenter of the scanner's field-of-view. Regression models of surface dose and noise were produced as a function of miscentering magnitude and phantom's size. 480 patients were assessed using the calculated regression models to estimate the influence of patient miscentering on image noise and patient surface dose in seven imaging centers. For the 64-slice CT scanner, the maximum increase of surface dose using the CTDI-32 phantom was 13.5%, 33.3% and 51.1% for miscenterings of 2, 4 and 6 cm, respectively. The analysis of patients' scout scans showed miscentering of 2.2 cm in average below the isocenter. An average increase of 23% and 7% was observed for patient dose and image noise, respectively. The maximum variation in patient miscentering derived from the comparison of imaging centers using the same scanner was 1.6 cm. Patient miscentering may substantially increase surface dose and image noise. Therefore, technologists are strongly encouraged to pay greater attention to patient centering.
Copyright © 2011 Associazione Italiana di Fisica Medica. All rights reserved.

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Year:  2011        PMID: 21741870     DOI: 10.1016/j.ejmp.2011.06.002

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  25 in total

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Journal:  Radiat Prot Dosimetry       Date:  2017-08-01       Impact factor: 0.972

2.  Emerging techniques for dose optimization in abdominal CT.

Authors:  Ravi K Kaza; Joel F Platt; Mitchell M Goodsitt; Mahmoud M Al-Hawary; Katherine E Maturen; Ashish P Wasnik; Amit Pandya
Journal:  Radiographics       Date:  2014 Jan-Feb       Impact factor: 5.333

3.  Hi-Res scan mode in clinical MDCT systems: Experimental assessment of spatial resolution performance.

Authors:  Juan P Cruz-Bastida; Daniel Gomez-Cardona; Ke Li; Heyi Sun; Jiang Hsieh; Timothy P Szczykutowicz; Guang-Hong Chen
Journal:  Med Phys       Date:  2016-05       Impact factor: 4.071

4.  Estimation of Radiation Dose in CT Based on Projection Data.

Authors:  Xiaoyu Tian; Zhye Yin; Bruno De Man; Ehsan Samei
Journal:  J Digit Imaging       Date:  2016-10       Impact factor: 4.056

5.  Impact of the scout view orientation on the radiation exposure and image quality in thoracic and abdominal CT.

Authors:  S Suntharalingam; A Wetter; N Guberina; J Theysohn; A Ringelstein; T Schlosser; M Forsting; K Nassenstein
Journal:  Eur Radiol       Date:  2016-03-04       Impact factor: 5.315

6.  Patient centring and scan length: how inaccurate practice impacts on radiation dose in CT colonography (CTC).

Authors:  Sergio Salerno; Giuseppe Lo Re; Davide Bellini; Marco Rengo; Maurizio Marrale; Maria Chiara Terranova; Laura Scopelliti; Andrea Laghi
Journal:  Radiol Med       Date:  2019-03-08       Impact factor: 3.469

7.  How patient off-centering impacts organ dose and image noise in pediatric head and thoracoabdominal CT.

Authors:  André Euler; Natalia Saltybaeva; Hatem Alkadhi
Journal:  Eur Radiol       Date:  2019-07-05       Impact factor: 5.315

8.  Effect of vertical positioning on organ dose, image noise and contrast in pediatric chest CT--phantom study.

Authors:  Touko Kaasalainen; Kirsi Palmu; Anniina Lampinen; Mika Kortesniemi
Journal:  Pediatr Radiol       Date:  2013-01-23

9.  Patient Vertical Centering and Correlation with Radiation Output in Adult Abdominopelvic CT.

Authors:  Phillip M Cheng
Journal:  J Digit Imaging       Date:  2016-08       Impact factor: 4.056

10.  Establishing how patient size and degree of miscentring affect CTDIvol, using patient data from a dose tracking system.

Authors:  Sean Cournane; Eimear Brunell; Michael Rowan
Journal:  Br J Radiol       Date:  2019-06-05       Impact factor: 3.039

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