Pragmatic approaches to reducing radiation dose in brain computed tomography scan using scan parameter modification

Mohammad Reza Choopani, Iraj Abedi, Fatemeh Dalvand

DOI: 10.4103/jmss.JMSS_83_20

Abstract


Background: High radiation dose of patients has become a concern in the computed tomography (CT) examinations. The aim of this study is to guide the radiology technician in modifying or optimizing the underlying parameters of the CT scan to reduce the patient radiation dose and produce an acceptable image quality for diagnosis. Methods: The body mass measurement device phantom was repeatedly scanned by changing the scan parameters. To analyze the image quality, software-based and observer-based evaluations were employed. To study the effect of scan parameters such as slice thickness and reconstruction filter on image quality and radiation dose, the structural equation modeling was used. Results: By changing the reconstruction filter from standard to soft and slice thickness from 2.5 mm to 5 mm, low-contrast resolution did not change significantly. In addition, by increasing the slice thickness and changing the reconstruction filter, the spatial resolution at different radiation conditions did not significantly differ from the standard irradiation conditions (P > 0.05). Conclusion: In this study, it was shown that in the brain CT scan imaging, the radiation dose was reduced by 30%–50% by increasing the slice thickness or changing the reconstruction filter. It is necessary to adjust the CT scan protocols according to clinical requirements or the special conditions of some patients while maintaining acceptable image quality.

Keywords


Multidetector computed tomography scans, radiation dose, scan parameter modifications, software- and observer-based evaluatiosn

Full Text:

PDF

References


McCollough CH, Chen GH, Kalender W, Leng S, Samei E, Taguchi K, et al. Achieving routine submillisievert CT scanning: Report from the summit on management of radiation dose in CT. Radiology 2012;264:567-80.

Boone JM, Hendee WR, McNitt-Gray MF, Seltzer SE. Radiation exposure from CT scans: How to close our knowledge gaps, monitor and safeguard exposure – Proceedings and recommendations of the radiation dose summit, sponsored by NIBIB, February 24-25, 2011. Radiology 2012;265:544-54.

Patro SN, Chakraborty S, Sheikh A. The use of adaptive statistical iterative reconstruction (ASiR) technique in evaluation of patients with cervical spine trauma: Impact on radiation dose reduction and image quality. Br J Radiol 2016;89:20150082.

Brenner DJ, Hall EJ. Computed tomography –– An increasing source of radiation exposure. N Engl J Med 2007;357:2277-84.

Imhof H, Schibany N, Ba-Ssalamah A, Czerny C, Hojreh A, Kainberger F, et al. Spiral CT and radiation dose. Eur J Radiol 2003;47:29-37.

Raman SP, Mahesh M, Blasko RV, Fishman EK. CT scan parameters and radiation dose: Practical advice for radiologists. J Am Coll Radiol 2013;10:840-6.

Kanal KM, Stewart BK, Kolokythas O, Shuman WP. Impact of operator-selected image noise index and reconstruction slice thickness on patient radiation dose in 64-MDCT. AJR Am J Roentgenol 2007;189:219-25.

Paul J, Krauss B, Banckwitz R, Maentele W, Bauer RW, Vogl TJ. Relationships of clinical protocols and reconstruction kernels with image quality and radiation dose in a 128-slice CT scanner: Study with an anthropomorphic and water phantom. Eur J Radiol 2012;81:e699-703.

Cohen G, McDaniel DL, Wagner LK. Analysis of variations in contrast-detail experiments. Med Phys 1984;11:469-73.

Swensson RG, Judy PF. Detection of noisy visual targets: Models for the effects of spatial uncertainty and signal-to-noise ratio. Percept Psychophys 1981;29:521-34.

Célier D, Roch P, Etard C, Le Pointe HD, Brisse HJ. Multicentre survey on patient dose in paediatric imaging and proposal for updated diagnostic reference levels in France. Part 1: Computed tomography. Eur Radiol 2020;30:1156-65.

Meeson S, Turnbull SD, Patel R, Golding SJ. Initial radiation dose reduction studies in cervical spine multidetector CT. Biomedical Physics & Engineering Express. 2018;4:025005.

Shah SM, Deep K, Siramanakul C, Mahajan V, Picard F, Allen DJ. Computer navigation helps reduce the incidence of noise after ceramic-on-ceramic total hip arthroplasty. J Arthroplasty 2017;32:2783-7.

Shaqdan KW, Kambadakone AR, Hahn P, Sahani DV. Experience with iterative reconstruction techniques for abdominopelvic computed tomography in morbidly and super obese patients. J Comput Assist Tomogr 2018;42:124-32.

Kanal KM, Butler PF, Sengupta D, Bhargavan-Chatfield M, Coombs LP, Morin RL. U.S. diagnostic reference levels and achievable doses for 10 adult CT examinations. Radiology 2017;284:120-33.

Kim Y, Kim YK, Lee BE, Lee SJ, Ryu YJ, Lee JH, et al. Ultra-low-dose ct of the thorax using iterative reconstruction: Evaluation of image quality and radiation dose reduction. AJR Am J Roentgenol 2015;204:1197-202.

Goo HW. Is it better to enter a volume CT dose index value before or after scan range adjustment for radiation dose optimization of pediatric cardiothoracic CT with tube Current modulation? Korean J Radiol 2018;19:692-703.

Yan C, Xu J, Liang C, Wei Q, Wu Y, Xiong W, et al. Radiation dose reduction by using CT with iterative model reconstruction in patients with pulmonary invasive fungal infection. Radiology 2018;288:285-92.

Maruyama S, Fukushima Y, Miyamae Y, Koizumi K. Usefulness of model-based iterative reconstruction in semi-automatic volumetry for ground-glass nodules at ultra-low-dose CT: A phantom study. Radiol Phys Technol 2018;11:235-41.

Tamm EP, Rong XJ, Cody DD, Ernst RD, Fitzgerald NE, Kundra V. Quality initiatives: CT radiation dose reduction: How to implement change without sacrificing diagnostic quality. Radiographics 2011;31:1823-32.

Deloire L, Diallo I, Cadieu R, Auffret M, Alavi Z, Ognard J, et al. Post-mortem X-ray computed tomography (PMCT) identification using ante-mortem CT-scan of the sphenoid sinus. J Neuroradiol 2019;46:248-55.


Refbacks

  • There are currently no refbacks.