Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Original Article CT chest and gantry rotation time: does the rotation time influence image quality? Acta Radiologica 2015, Vol. 56(8) 950–954 ! The Foundation Acta Radiologica 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav DOI: 10.1177/0284185114544242 acr.sagepub.com Martin Beeres1,*, Julian L Wichmann1,*, Jijo Paul1, Emmanuel Mbalisike1, Mohamed Elsabaie1, Thomas J Vogl1 and Nour-Eldin A Nour-Eldin1,2 Abstract Background: Computed tomography (CT) gantry rotation time is one factor influencing image quality. Until now, there has been no report investigating the influence of gantry rotation time on chest CT image quality. Purpose: To investigate the influence of faster gantry rotation time on image quality and subjective and objective image parameters in chest CT imaging. Material and Methods: Chest CT scans from 160 patients were examined in this study. All scans were performed using a single-source mode (collimation, 128 0.6 mm; pitch, 1.2) on a dual-source CT scanner. Only gantry rotation time was modified, while other CT parameters were kept stable for each scan (120 kV/110 reference mAs). Patients were divided into four groups based on rotation time: group 1, 1 s/ rotation (rot); group 2, 0.5 s/rot; group 3, 0.33 s/rot; group 4, 0.28 s/rot. Two blinded radiologists subjectively compared CT image quality, noise, and artifacts, as well as radiation exposure, from all groups. For objective comparison, all image datasets were analyzed by a radiologist with 5 years of experience concerning objective measurements as well as signal-to-noise ratio (SNR). Results: We found that faster gantry rotation times (0.28 s/rot and 0.33 s/rot) resulted in more streak artifacts, image noise, and decreased image quality. However, there was no significant difference in radiation exposure between faster and slower rotation times (P > 0.7). Conclusion: Faster CT gantry rotation reduces scan time and motion artifacts. However, accelerating rotation time increases image noise and streak artifacts. Therefore, a slower CT gantry rotation speed is still recommended for higher image quality in some cases. Keywords Chest computed tomography (CT), gantry rotation time, CT artifacts, CT image quality, CT radiation exposure Date received: 6 December 2013; accepted: 21 June 2014 Introduction Computed tomography (CT) imaging of the chest is one of the most frequent radiologic examinations in the world, as it is a non-invasive way in which to evaluate a variety of clinical issues, such as pulmonary infiltration or potential malignancies. Even though multiple techniques are designed to reduce radiation exposure, chest CT imaging still exposes patients to a higher amount of radiation than other imaging modalities (e.g. X-ray). However, radiation exposure in chest CT imaging has decreased remarkably in recent years using low kV imaging, iterative reconstruction algorithms, and campaigns by radiological societies around the world, such as the ‘‘Image Wisely’’ campaign from the Radiological Society of North America and American College of Radiology (1–3). 1 Department of Diagnostic and Interventional Radiology, Clinic of the Goethe University, Frankfurt, Germany 2 Diagnostic and Interventional Radiology Department, Cairo University Hospital, Cairo, Egypt *These authors are equal contributors. Corresponding author: Martin Beeres, Department of Diagnostic and Interventional Radiology, Clinic of the Goethe University, Haus 23C UG, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany. Email: [email protected] Downloaded from acr.sagepub.com at Universitaetsbibliothek on July 18, 2016 Beeres et al. 951 State-of-the-art CT scanners implement rapid imaging strategies to reduce radiation exposure, including wide detectors, fast gantry rotation times, two detectors, or a combination of these strategies (3–5). In nearly every CT machine, fast tube detector rotation times of 0.5 s / rotation (rot) are possible and can be used in different clinical situations. Fast gantry rotation speeds combined with an adapted pitch-factor shorten image acquisition times, which is advantageous when imaging the thoracic region because it reduces the number of motion artifacts. Unfortunately, accelerating the gantry rotation time can also introduce additional artifacts (e.g. streaking) that are not visible using slower speeds. Therefore, the aim of this study was to investigate the influence of gantry rotation time on image quality, noise, artifacts, and radiation exposure during chest CT examinations. Material and Methods Patients and CT protocols 110 reference mAs. Gantry rotation times for each group were as follows: group 1, 1 s/rot; group 2, 0.5 s/ rot; group 3, 0.33 s/rot; and group 4, 0.28 s/rot. Automatic exposure control was used for all scans (CARE Dose 4D, Siemens Healthcare, Forchheim, Germany). Data were acquired in the caudocranial direction during deep inspiratory breath-hold. Transverse images were reconstructed with a 5 mm slice thickness in 5 mm increments using a hard convolution kernel in filtered back-projection (B60f), a matrix of 512 512, and a lung window (center, –500 HU; width, 2000 HU) for the overview. For further analysis, transverse 1.0 mm slices in 0.7 mm increments were reconstructed. For 3D evaluation, coronal and sagittal reformations with a 2 mm slice thickness in 2 mm increments were reconstructed. Additional patient parameters such as body mass index (BMI) and scan range were also evaluated. Image analysis This single-center, observer-blinded, retrospective study was approved by the local Ethics Committee and written informed consent was obtained by all patients. Data of consecutive patients that underwent clinically indicated CT of the chest between November 2011 and April 2013 were analyzed. All CT examinations included in this study were diagnostic and did not require repeating because of unsatisfactory image quality or artifacts. Patients were divided into four groups of 40 individuals each based on gantry rotation time (Table 1). All groups underwent chest CT scanning on a dual-source CT operated in single-source mode functioning as a 128 slice CT (Somatom Definition Flash, Siemens Healthcare, Forchheim, Germany) with a 1.2 pitch, 128 0.6 mm collimation, 120 kV tube potential, and The total examination time of each CT image series was recorded in seconds. Objective image quality was assessed using several region-of-interest (ROI) measurements (1 cm2) as standard deviation (SD) at different anatomic levels (lung apex, pulmonary trunk, phrenicocostal sinus) taken by a radiologist with 5 years of CT experience on a regular PACS (Picture Archiving and Communication System) workstation (Centricity 4.2, GE-Healthcare, Dornstadt, Germany) using a circle tool. Subjective image evaluation was carried out by two independent radiologists (with 5 years and 4 years of CT imaging experience) regarding motion and streak artifacts, pathological visibility, and image quality. Image quality rating was performed using a five-point Likert scale (5, excellent; 4, good; 3, moderate; 2, fair; 1, unacceptable). Additional ROI evaluations were performed in the subcutaneous fat at Table 1. Examination parameters. Slice collimation Pitch kV / ref. mAs Rotation time (seconds/rotation) Patients Male Female Age (years) BMI (kg/m2) Group 1 Group 2 Group 3 Group 4 128 0.6 1.2 120 / 110 1.0 128 0.6 1.2 120 / 110 0.5 128 0.6 1.2 120 / 110 0.33 128 0.6 1.2 120 / 110 0.28 40 24 16 67 (25–85) 26.3 3.4 (18.7–31.3) 40 23 17 63.5 (26–87) 27.3 3.0 (19.5–32.5) 40 20 20 70 (36–90) 28.1 2.9 (20.2–31.1) 40 27 13 63 (42–77) 27.2 3.1 (19.1–30.8) Downloaded from acr.sagepub.com at Universitaetsbibliothek on July 18, 2016 952 Acta Radiologica 56(8) the level of the pulmonary artery and muscle tissue; Musculus erector spinae muscles were chosen. To minimize bias from single measurements, we calculated the average of four measurements. Based on these measurements, signal-to-noise ratio (SNR) was determined according to the following equation: SNR ¼ Attenuation/Background Noise. radiation dose. The Mann-Whitney U test was calculated using Bonferroni correction. A P value less than 0.05 was considered statistically significant. A Cohen’s kappa (weighted kappa) analysis was performed to determine inter-observer agreement for subjective image quality scoring. Results Radiation exposure To estimate patient radiation dose, we recorded the volume CT dose index (CTDIvol, mGy) and dose length product (DLP, mGy*cm) from the patient CT protocol. Statistical analysis All statistical analyses were performed using BiAS 9.14 software (BiAS 9.14, epsilon-Publishing, Hochheim, Germany). Continuous variables were expressed as median and range; categorical variables were expressed as frequencies or percentages. The Kruskal-Wallis test and for post-hoc testing the Mann-Whitney U test was used to compare image noise, attenuation, and The median exam duration in group 4 (2.4 s; range, 0.6 s) was significantly shorter compared to groups 1 (7.7 s; range, 1.6 s; P < 0.05) and 2 (4.2 s; range, 1.5 s; P < 0.05; Table 2). In addition, the median exam duration was significantly shorter in group 1 relative to group 3 (2.6 s; range, 0.6 s; P < 0.05; Table 2). Furthermore, there was no statistical difference in BMI (P > 0.5; Table 1), DLP, CTDIvol, or mAs (P > 0.05; Table 2) between groups. Evaluation of image noise as an objective image quality parameter showed that slower gantry rotation time protocols in groups 1 and 2 resulted in significantly less image noise compared with faster rotation times in groups 3 and 4 (P < 0.01; Table 2; Fig. 1). The SNR-values were influenced additionally to the image Table 2. Examination parameters. Group 1 Group 2 Group 3 Group 4 Scan range (cm) Scan duration (s) 35.5 (31.9–39.3) 7.7 (6.9–8.5) 38.5 (30.8–44.5) 4.2 (3.3–4.8) 36.5 (32.0–40.6) 2.6 (2.3–3.1) 38.8 (31.7–45.3) 2.4 (2.2–2.9) Dose-length product (mGy cm) CTDI vol. mAs Image noise (HU) 271 (171–443) 266 (143–323) 253 (166–483) 236 (176–311) 7.4 (4.6–17.8) 110 (68–265) 24.8 (16.0–30.8) 7.2 (4.2–13.5) 110 (69–205) 27.0 (23.1–35.8) 7.5 (4.7–13.9) 105 (62–200) 34.3 (33.1–35.9) 6.8 (3.8–10.4) 99 (55–130) 35.8 (32.6–47.8) 2.0 (1.4–3.1) 1.8 (1.2–2.8) 1.4 (1.3–1.6) 1.5 (0.6–1.6) SNR Downloaded from acr.sagepub.com at Universitaetsbibliothek on July 18, 2016 P value: Group 1 vs. Group 2/3/4 0.06 1 vs. 1 vs. 1 vs. 2 vs. 2 vs. 3 vs. 0.1 0.6 0.4 1 vs. 1 vs. 1 vs. 2 vs. 2 vs. 3 vs. 1 vs. 1 vs. 1 vs. 2 vs. 2 vs. 3 vs. 2: 3: 4: 3: 4: 4: 0.3; 0.003; 0.0005 0.1; 0.05; 0.6 2: 3: 4: 3: 4: 4: 2: 3: 4: 3: 4: 4: 0.2; <0.01; <0.01 <0.01; <0.01; 0.3 0.05; <0.01; <0.01 <0.01; 0.02; 0.5 Beeres et al. 953 Fig. 1. (a) 0.28 s / rot. rotation time – artifacts are present; (b) s / rot. rotation time – artifacts still present; (c) 0.5 s / rot. rotation time – less noise and artifacts; (d) 1.0 s / rot. rotation time – less artifacts compared to (a) and (b). Table 3. Image quality rating between the different groups. Streak artefacts Kappa Overall quality Kappa Observer 1 Observer 2 Observer 1 Observer 2 Group 1 Group 2 Group 3 Group 4 1 0.5 1 0.5 0.93 2 0.6 1 0.5 0.40 1 1 (1–3) 2 0.5 (1–3) 0.82 1 0.7 (1–3) 2 0.6 (1–3) 0.64 2 0.5 2 0.8 0.78 2 0.6 2 0.7 0.75 2 0.9 (1–3) 3 1 (1–4) 0.65 2 0.8 (1–3) 2 0.7 (1–3) 0.8 (1–2) (1–3) (1–3) (1–2) (1–3) (1–3) (1–3) (1–3) Overall Kappa 0.8 0.6 Fig. 2. Sufficient image quality in all cases: Four patients: (a) 1.0 s / rot. rotation time – nearly no noise artifacts in the picture and surroundings; (b) 0.5 s / rot. rotation time – less noise artifacts in the picture and surroundings; (c) 0.33 s / rot. rotation time – increasing noise artifacts in the picture and surroundings; (d) 0.28 s / rot. rotation time – most artifacts in the picture and surroundings. noise (Table 2). The best image quality was obtained with 0.5 and 1 s/rot rotation times (Table 3), although image quality differences were not significant overall (Fig. 2). Interestingly, only Radiologist/Observer 2 found significant differences in subjective image analysis ratings between groups 1 and 3 (P ¼ 0.007) and groups 1 and 4 (P ¼ 0.04; Table 3), the rest did not reach statistical significance. However, there was an obvious increase of image noise and streak artifacts in higher gantry rotation time groups (Tables 2 and 3). As image noise increased, artifacts became more visible, which influenced subjective image scoring in some cases. Discussion Ongoing research has shown that increasing detector width and rotation speed not only make CT imaging faster, but also improves workflow, making this imaging modality more robust against motion artifacts (4,6). Motion is a very common and significant problem in CT imaging because patients are not always able to hold their breath for a defined period of time or may simply be non-compliant (4). Unfortunately, accelerating rotation speed can introduce additional artifacts, noise, or other image quality issues that are not visible at slower speeds. Therefore, we investigated the influence of gantry rotation time on various imaging parameters and radiation exposure during chest CT examinations. Our study shows for the first time that the slowest tube rotation time setting (1 s/rot) results in a breathhold period of 6–9 s (Table 2). All patients examined in this mode were able to and did hold their breath for this period of time. Although most previously published reports focus on ‘‘non-breath-hold’’ imaging of the chest (7,8), data on both ‘‘breath-hold’’ and ‘‘nonbreath-hold’’ situations is important for adaptation of Downloaded from acr.sagepub.com at Universitaetsbibliothek on July 18, 2016 954 Acta Radiologica 56(8) CT protocols in different clinical situations. The SNR values showed some differences, so group 1 and 2 offered the highest values compared to group 3 and 4 (Table 2). A previous abdominal imaging report from 2008 demonstrated that using a faster tube-detector rotation time saturates the X-ray tube more often (at its limit of current), leading to an increase in image noise and deterioration of image quality (9). Conversely, a 2012 report concluded that rotation time and pitch factors have only a small influence on image quality (10). Present results agree with both studies in that although faster tube-detector rotation time minimally influenced overall image quality, image noise significantly increased. Although image quality was highest at longer gantry rotation times (0.5 and 1 s/rot; Table 3), differences between rotation times were not significant (Fig. 2). On the other hand, image noise was significantly higher using faster rotation (Tables 2 and 3). Moreover, with increasing image noise, artifacts sometimes become more visible, which influences subjective image scoring. Furthermore, image noise might influence image quality differently according to the body region examined. Although a shorter CT scan time would technically reduce the radiation exposure time, it is unclear whether faster gantry rotation directly affects the absorbed dose. Interestingly, a 2006 report posited that using faster gantry rotation times at a high tube load might lead to a larger beam focus, which might increase overall radiation exposure (11). However, our data demonstrated that there was no statistical difference in DLP or CTDIvol between rotational times investigated in this study (P > 0.05; Table 2). In conclusion, faster CT gantry rotation speed reduces scan time and motion artifacts. However, current results, together with previous studies, demonstrate that accelerating rotation time does not always provide the best image quality, noise, or artifact presentation. Furthermore, in CT machines with wide detectors, a fast gantry rotation is not always necessary to acquire images in a short period of time. Therefore, a slower CT gantry rotation speed is still recommended for higher image quality in some clinical cases. Funding This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. References 1. Brink JA, Amis ES Jr. Image Wisely: a campaign to increase awareness about adult radiation protection. Radiology 2010;257:601–602. 2. Dougeni E, Faulkner K, Panayiotakis G. A review of patient dose and optimisation methods in adult and paediatric CT scanning. Eur J Radiol 2012;81:665–683. 3. Fleischmann D, Boas FE. Computed tomography–old ideas and new technology. Eur Radiol 2011;21:510–517. 4. Kroft LJ, Roelofs JJ, Geleijns J. Scan time and patient dose for thoracic imaging in neonates and small children using axial volumetric 320-detector row CT compared to helical 64-, 32-, and 16- detector row CT acquisitions. Pediatr Radiol 2010;40:294–300. 5. Lell MM, May M, Deak P, et al. High-pitch spiral computed tomography: effect on image quality and radiation dose in pediatric chest computed tomography. Invest Radiol 2011;46:116–123. 6. Hinkmann FM, Voit HL, Anders K, et al. Ultra-fast carotid CT-angiography: low versus standard volume contrast material protocol for a 128-slice CT-system. Invest Radiol 2009;44:257–264. 7. Renne J, Falck CV, Ringe KI, et al. CT angiography for pulmonary embolism detection: the effect of breathing on pulmonary artery enhancement using a 64-row detector system. Acta Radiol. Epub ahead of print 8 October 2013. DOI: 10.1177/0284185113507712. 8. Schulz B, Jacobi V, Beeres M, et al. Quantitative analysis of motion artifacts in high-pitch dual-source computed tomography of the thorax. J Thorac Imaging 2012;27: 382–386. 9. Israel GM, Herlihy S, Rubinowitz AN, et al. Does a combination of dose modulation with fast gantry rotation time limit CT image quality? Am J Roentgenol 2008; 191:140–144. 10. Klink T, Regier M, van Stevendaal U, et al. Accelerating image acquisition in 64-MDCT: the influence of scan parameters on image resolution and quality in a phantom study. Clin Imaging 2012;36:334–344. 11. Theocharopoulos N, Perisinakis K, Damilakis J, et al. Dosimetric characteristics of a 16-slice computed tomography scanner. Eur Radiol 2006;16:2575–2585. Conflict of interest None declared. Downloaded from acr.sagepub.com at Universitaetsbibliothek on July 18, 2016