InCT machines, the greater the number of ‘slices’, the sharper the quality of the scan. For example, a 128 slice CT machine produces very clear images as compared to a lower slice CT scanner. Purpose. An MRI scan is required when images need to be detailed. An MRI scan offers more soft tissue image and bone details than a CT scan.
Kecanggihanlain, lanjut Dewi, CT Scan 128 Slices dapat melakukan 5 denyut pemindaian jantung (5-Beat Cardiac scan) yang mencakup keseluruhan jantung dengan kecepatan rotasi 0.35 detik dan lebar cakupan 40mm. Hadir di Bekasi. GE Healthcare Indonesia boleh berbangga teknologi CT Scan-nya juga telah membantu 5 juta pasien di seluruh Indonesia.
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CT5100 Incisive. 91% of users agree that CT 5100 Incisive enables more consistent results between users. 48% of users agree that CT 5100 Incisive workflow allows for at least 7 more patient per day. Enables reduced time to results and inter-operator consistency. Up to 80% lower radiation dose with Precise Image.
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Theseimages of lungs with emphysema were taken with a 128-slice scanner, shown in a 2-D image (left) and a colorized 3-D reconstruction (right). P. Rogalla, C. Kloeters and P.A. Hein/ Radiologic
Itcomprises a proprietary CT scintillator material. It has an exclusive garnet structure that enables high-definition imaging (0.23 mm) and superfast KV switching. The recovery time is four times as fast as the other detectors and the primary speed is nearly 100 times faster than other detectors.
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By simultaneously scanning several slices of the body, the scan time can be reduced significantly and the smallest details can be scanned within practicable scan times. Multislice CT enables a wide range of clinical applications from 3D to perfusion imaging to CT fluoroscopy. Our systems range from cost-effective 32- slice configurations to outstanding image quality 64- and 128-slice this information help you?Subscribe to news from Siemens Healthineers USA Be the first to know about our events, training, and news
Evaluation and comparison of performance of low-dose 128-slice CT scanner with different mAs values A phantom study Shilpa Singh et al. J Carcinog. 2021. Free PMC article Abstract Objective Radiation dose in computed tomography CT has been the concern of physicists ever since the introduction of CT scan. The objective of this study was to evaluate the performance of low-dose 128-slice CT scanner with different mAs values. Materials and methods Quantitative study was carried out at different values of mAs. Philips brilliance CT phantom with Philips ingenuity 128-slice low-dose CT scanner was chosen for this study. CT number linearity, CT number accuracy, slice thickness accuracy, high-contrast resolution, and low-contrast resolution were calculated and estimated computed tomography dose index volume CTDIvol for all the mAs values were recorded. Noise was calculated for all mAs values for comparison. Results Data analysis shows that image quality was acceptable for all protocols. High-contrast resolution for all protocols was 20 line pairs per centimeter. Low-contrast resolution for 50 mAs images was 4 mm and 3 mm for other mAs protocols. Images acquired using 100 mAs revealed ring artifacts. CTDIvol using 50 mAs was 33% of the CTDIvol using 150 mAs. The dose-length product at 100 mAs was reduced to 66% of the dose-length product at 150 mAs, and the same at 50 mAs was reduced to 33%. Conclusion It is evident here that mAs has direct impact on the radiation dose to patient. With iDose4, mAs can be reduced to 50 mAs in multislice low-dose CT scan to reduce the radiation dose with minimal effect on image quality for slice thickness 4 mm. However, noise would dominate at tube current lower than 50 mAs for 120 kVp. Keywords Computed tomography dose optimization; fourth-generation iterative reconstruction; image quality; low-dose computed tomography. Copyright © 2021 Journal of Carcinogenesis. Figures Figure 1 Schematic diagram of the Philips Brilliance Phantom used for the study Figure 2 Computed tomography numbers recorded for all mAs values to calculate computed tomography number uniformity Figure 3 Images to calibrate high-contrast resolution and low-contrast resolution Figure 4 Graphical representation of the relationship between mAs ad computed tomography dose index volume Similar articles Technical Note Increased photon starvation artifacts at low helical pitch in ultra-low-dose CT. Browne JE, Bruesewitz MR, Vrieze TJ, McCollough CH, Yu L. Browne JE, et al. Med Phys. 2019 Dec;46125538-5543. doi Epub 2019 Oct 21. Med Phys. 2019. PMID 31580485 Technical Note Evaluation of a 160-mm/256-row CT scanner for whole-heart quantitative myocardial perfusion imaging. So A, Imai Y, Nett B, Jackson J, Nett L, Hsieh J, Wisenberg G, Teefy P, Yadegari A, Islam A, Lee TY. So A, et al. Med Phys. 2016 Aug;4384821. doi Med Phys. 2016. PMID 27487900 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. Paul J, Krauss B, Banckwitz R, Maentele W, Bauer RW, Vogl TJ. Paul J, et al. Eur J Radiol. 2012 May;815e699-703. doi Epub 2011 Feb 12. Eur J Radiol. 2012. PMID 21316888 Performance evaluation of an 85-cm-bore X-ray computed tomography scanner designed for radiation oncology and comparison with current diagnostic CT scanners. Garcia-Ramirez JL, Mutic S, Dempsey JF, Low DA, Purdy JA. Garcia-Ramirez JL, et al. Int J Radiat Oncol Biol Phys. 2002 Mar 15;5241123-31. doi Int J Radiat Oncol Biol Phys. 2002. PMID 11958910 Pediatric Computed Tomography Dose Optimization Strategies A Literature Review. Al Mahrooqi KMS, Ng CKC, Sun Z. Al Mahrooqi KMS, et al. J Med Imaging Radiat Sci. 2015 Jun;462241-249. doi J Med Imaging Radiat Sci. 2015. PMID 31052099 Review. References Verdun FR, Racine D, Ott JG, Tapiovaara MJ, Toroi P, Bochud FO, et al. Image quality in CT From physical measurements to model observers. Phys Med. 2015;31823–43. - PubMed Kroft LJ, van der Velden L, Girón IH, Roelofs JJ, de Roos A, Geleijns J. Added value of ultra-low-dose computed tomography, dose equivalent to chest X-ray radiography, for diagnosing chest pathology. J Thorac Imaging. 2019;34179–86. - PMC - PubMed Michael MG. Tradeoffs in CT image quality and dose. Med Phys. 2006;331–8. - PubMed Yang Q, Yan P, Zhang Y, Yu H, Shi Y, Mou X, et al. Low-dose CT image denoising using a generative adversarial network with wasserstein distance and perceptual loss. IEEE Trans Med Imaging. 2018;371348–57. - PMC - PubMed Greffier J, Macri F, Larbi A, Fernandez A, Khasanova E, Pereira F, et al. Dose reduction with iterative reconstruction Optimization of CT protocols in clinical practice. Diagn Interv Imaging. 2015;96477–86. - PubMed LinkOut - more resources Full Text Sources Europe PubMed Central PubMed Central