Literature DB >> 17822010

Automatic exposure control in multichannel CT with tube current modulation to achieve a constant level of image noise: experimental assessment on pediatric phantoms.

Hervé J Brisse1, Ludovic Madec, Geneviève Gaboriaud, Thomas Lemoine, Alexia Savignoni, Sylvia Neuenschwander, Bernard Aubert, Jean-Claude Rosenwald.   

Abstract

Automatic exposure control (AEC) systems have been developed by computed tomography (CT) manufacturers to improve the consistency of image quality among patients and to control the absorbed dose. Since a multichannel helical CT scan may easily increase individual radiation doses, this technical improvement is of special interest in children who are particularly sensitive to ionizing radiation, but little information is currently available regarding the precise performance of these systems on small patients. Our objective was to assess an AEC system on pediatric dose phantoms by studying the impact of phantom transmission and acquisition parameters on tube current modulation, on the resulting absorbed dose and on image quality. We used a four-channel CT scan working with a patient-size and z-axis-based AEC system designed to achieve a constant noise within the reconstructed images by automatically adjusting the tube current during acquisition. The study was performed with six cylindrical poly(methylmethacrylate) (PMMA) phantoms of variable diameters (10-32 cm) and one 5 years of age equivalent pediatric anthropomorphic phantom. After a single scan projection radiograph (SPR), helical acquisitions were performed and images were reconstructed with a standard convolution kernel. Tube current modulation was studied with variable SPR settings (tube angle, mA, kVp) and helical parameters (6-20 HU noise indices, 80-140 kVp tube potential, 0.8-4 s. tube rotation time, 5-20 mm x-ray beam thickness, 0.75-1.5 pitch, 1.25-10 mm image thickness, variable acquisition, and reconstruction fields of view). CT dose indices (CTDIvol) were measured, and the image quality criterion used was the standard deviation of the CT number measured in reconstructed images of PMMA material. Observed tube current levels were compared to the expected values from Brooks and Di Chiro's [R.A. Brooks and G.D. Chiro, Med. Phys. 3, 237-240 (1976)] model and calculated values (product of a reference value multiplied by a dose ratio measured with thermoluminescent dosimeters). Our study demonstrates that this AEC system accurately modulates the tube current according to phantom size and transmission to achieve a stable image noise. The system accurately controls the tube current when changing tube rotation time, tube potential, or image thickness, with minimal variations of the resulting noise. Nevertheless, CT users should be aware of possible changes of tube current and resulting dose and quality according to several parameters: the tube angle and tube potential used for SPR, the x-ray beam thickness (tube current decreases and image noise increases when doubling x-ray beam thickness), the pitch value (a pitch decrease leads to a higher dose but also to a higher noise), and the acquisition field of view (FOV) (tube current is lower when using the small acquisition FOV compared to the large one, but the use of small acquisition FOV at 120 kVp leads to a peculiar increase of tube current and CTDIvol).

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Year:  2007        PMID: 17822010     DOI: 10.1118/1.2746492

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  10 in total

1.  Image quality and dose optimisation for infant CT using a paediatric phantom.

Authors:  Jack W Lambert; Andrew S Phelps; Jesse L Courtier; Robert G Gould; John D MacKenzie
Journal:  Eur Radiol       Date:  2015-08-26       Impact factor: 5.315

2.  Dose reduction with adaptive statistical iterative reconstruction for paediatric CT: phantom study and clinical experience on chest and abdomen CT.

Authors:  F Gay; Y Pavia; N Pierrat; S Lasalle; S Neuenschwander; H J Brisse
Journal:  Eur Radiol       Date:  2013-08-31       Impact factor: 5.315

Review 3.  Anniversary paper. Development of x-ray computed tomography: the role of medical physics and AAPM from the 1970s to present.

Authors:  Xiaochuan Pan; Jeffrey Siewerdsen; Patrick J La Riviere; Willi A Kalender
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

4.  Investigating the CT localizer radiograph: acquisition parameters, patient centring and their combined influence on radiation dose.

Authors:  J W Lambert; S Kumar; J S Chen; Z J Wang; R G Gould; B M Yeh
Journal:  Br J Radiol       Date:  2015-01-22       Impact factor: 3.039

5.  Evaluating the impact of scan settings on automatic tube current modulation in CT using a novel phantom.

Authors:  Deborah Merzan; Patrik Nowik; Gavin Poludniowski; Robert Bujila
Journal:  Br J Radiol       Date:  2016-11-15       Impact factor: 3.039

Review 6.  Regularization strategies in statistical image reconstruction of low-dose x-ray CT: A review.

Authors:  Hao Zhang; Jing Wang; Dong Zeng; Xi Tao; Jianhua Ma
Journal:  Med Phys       Date:  2018-09-10       Impact factor: 4.071

7.  Evaluation of automatic tube current modulation of CT scanners using a dedicated and the CTDI dosimetry phantoms.

Authors:  Ioannis A Tsalafoutas; Shady AlKhazzam; Huda AlNaemi; Mohammed Hassan Kharita
Journal:  J Appl Clin Med Phys       Date:  2022-06-09       Impact factor: 2.243

Review 8.  [Radiation dose in computed tomography. Risks and challenges].

Authors:  M Prokop
Journal:  Radiologe       Date:  2008-03       Impact factor: 0.635

Review 9.  Current and future lymphatic imaging modalities for tumor staging.

Authors:  Ghulam Murtaza; Kuo Gao; Tiegang Liu; Imran Tariq; Ashif Sajjad; Muhammad Rouf Akram; Meiying Niu; Guokai Liu; Zahid Mehmood; Guihua Tian
Journal:  Biomed Res Int       Date:  2014-03-16       Impact factor: 3.411

10.  CT protocol management: simplifying the process by using a master protocol concept.

Authors:  Timothy P Szczykutowicz; Robert K Bour; Nicholas Rubert; Gary Wendt; Myron Pozniak; Frank N Ranallo
Journal:  J Appl Clin Med Phys       Date:  2015-07-08       Impact factor: 2.102

  10 in total

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