Literature DB >> 31117064

Assessment of patient dose and noise level of clinical CT images: automated measurements.

Choirul Anam1, Wahyu Setia Budi, Kusworo Adi, Heri Sutanto, Freddy Haryanto, Mohd Hanafi Ali, Toshioh Fujibuchi, Geoff Dougherty.   

Abstract

We investigated comparisons between patient dose and noise in pelvic, abdominal, thoracic and head CT images using an automatic method. 113 patient images (37 pelvis, 34 abdominal, 25 thoracic, and 17 head examinations) were retrospectively and automatically examined in this study. Water-equivalent diameter (Dw), size-specific dose estimates (SSDE) and noise were automatically calculated from the center slice for every patient image. The Dw was calculated based on auto-contouring of the patients' edges, and the SSDE was calculated as the product of the volume CT dose index (CTDIvol) extracted from the Digital Imaging and Communications in Medicine (DICOM) header and the size conversion factor based on the Dw obtained from AAPM 204. The noise was automatically measured as a minimum standard deviation in the map of standard deviations. A square region of interest of about 1 cm2 was used in the automated noise measurement. The SSDE values for the pelvis, abdomen, thorax, and head were 21.8 ± 7.3 mGy, 22.0 ± 4.5 mGy, 21.5 ± 4.7 mGy, and 65.1 ± 1.7 mGy, respectively. The SSDEs for the pelvis, abdomen, and thorax increased linearly with increasing Dw, and for the head with constant tube current, the SSDE decreased with increasing Dw. The noise in the pelvis, abdomen, thorax, and head were 5.9 ± 1.5 HU, 5.2 ± 1.4 HU, 4.9 ± 0.8 HU and 3.9 ± 0.2 HU, respectively. The noise levels for the pelvis, abdomen, and thorax of the patients were relatively constant with Dw because of tube current modulation. The noise in the head image was also relatively constant because Dw variations in the head are very small. The automated approach provides a convenient and objective tool for dose optimizations.

Entities:  

Year:  2019        PMID: 31117064     DOI: 10.1088/1361-6498/ab23cc

Source DB:  PubMed          Journal:  J Radiol Prot        ISSN: 0952-4746            Impact factor:   1.394


  6 in total

1.  Noise Reduction in CT Images Using a Selective Mean Filter.

Authors:  Anam C; Adi K; Sutanto H; Arifin Z; Budi W S; Fujibuchi T; Dougherty G
Journal:  J Biomed Phys Eng       Date:  2020-10-01

2.  Impact of ROI Size on the Accuracy of Noise Measurement in CT on Computational and ACR Phantoms.

Authors:  Choirul Anam; Pandji Triadyaksa; Ariij Naufal; Zaenal Arifin; Zaenul Muhlisin; Evi Setiawati; Wahyu Setia Budi
Journal:  J Biomed Phys Eng       Date:  2022-08-01

3.  Automated development of the contrast-detail curve based on statistical low-contrast detectability in CT images.

Authors:  Choirul Anam; Ariij Naufal; Toshioh Fujibuchi; Kosuke Matsubara; Geoff Dougherty
Journal:  J Appl Clin Med Phys       Date:  2022-07-09       Impact factor: 2.243

4.  Assessment of the global noise algorithm for automatic noise measurement in head CT examinations.

Authors:  Moiz Ahmad; Dominique Tan; Sujay Marisetty
Journal:  Med Phys       Date:  2021-08-19       Impact factor: 4.506

5.  Comparisons of Hounsfield Unit Linearity between Images Reconstructed using an Adaptive Iterative Dose Reduction (AIDR) and a Filter Back-Projection (FBP) Techniques.

Authors:  Suyudi I; Anam C; Sutanto H; Triadyaksa P; Fujibuchi T
Journal:  J Biomed Phys Eng       Date:  2020-04-01

6.  Comparison of central, peripheral, and weighted size-specific dose in CT.

Authors:  Choirul Anam; Dwi Adhianto; Heri Sutanto; Kusworo Adi; Mohd Hanafi Ali; William Ian Duncombe Rae; Toshioh Fujibuchi; Geoff Dougherty
Journal:  J Xray Sci Technol       Date:  2020       Impact factor: 1.535

  6 in total

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