Penerapan Algoritma Adaptive Iterative Dose Reduction 3D (AIDR 3D) dalam Meningkatkan Kualitas Citra pada Pemeriksaan CT Coronary Angiography

Alfisna Fajru Rohmah, Bagus Abimanyu, Edy Susanto

Abstract


Background: CT Coronary Angiography (CTCA) is a non-invasive imaging modality with a high spatial and temporal resolution to diagnose coronary vascular disease. FBP (Filtered Back Projection) has limitations in improving the image quality, so iterative reconstruction is used on CTCA. Adaptive Iterative Dose Reduction (AIDR 3D) is one of the iterative reconstructions developed by Toshiba, which has three levels of strength: mild, standard, and strong. The study aimed to explain the application of AIDR 3D in improving image quality on coronary CT angiography examination. 

Methods: This research is descriptive with a literature study approach, using articles from NCBI, Science Direct, and Google Scholar. The keywords used are CT Coronary Angiography, AIDR 3D, and Image Quality. The articles obtained are reduced based on inclusion and exclusion criteria so that seven relevant articles are conducted for extraction.

Results: The results showed that AIDR 3D could improve the quality of CTCA images with the most significant percentage in AIDR 3D strong by reducing noise 18-46.1% and increasing SNR 21-84.7% and CNR 21-82.2%.

Conclusions: The application of AIDR 3D strong in obese patients with CTCA is good to use with standard kVp and 250-450 mA without increasing mA so that it does not increase the dose. AIDR 3D strong can also be used in patients with normal body mass with tube current adjusted according to the patient's body mass if there is no indication on the right coronary artery. AIDR 3D standard can be used in overweight patients and normal body mass.


Keywords


AIDR 3D; CT Coronary Angiography; Image Quality

Full Text:

PDF

References


Abdullah, K. A., McEntee, M. F., Reed, W., & Kench, P. L. (2020). Evaluation of an integrated 3D-printed phantom for coronary CT angiography using iterative reconstruction algorithm. Journal of Medical Radiation Sciences, 67(3), 170–176. https://doi.org/10.1002/jmrs.387

Anam, C., Haryanto, F., Widita, R., Arif, I., & Dougherty, G. (2019). An Investigation of Spatial Resolution and Noise in Reconstructed CTImages Using Iterative Reconstruction (IR) and Filtered Back-Projection (FBP). Journal of Physics: Conference Series, 1127. https://doi.org/10.1088/1742-6596/1127/1/012016

Angel, E. (2012). SURE ExposureTM Low Dose Diagnostic Image Quality. Toshiba Medical Systems Corporation, 7. Retrieved from https://medical.toshiba.com/download/aidr-3d-wp-sure-exposure

Angel, Erin. (2012). AIDR 3D Iterative Reconstruction: Integrated, Automated and Adaptive Dose Reduction. Toshiba Medical System.

Cesare, E. Di, Gennarelli, A., Sibio, A. Di, Felli, V., Splendiani, A., Gravina, G. L., … Masciocchi, C. (2014). Assessment of Dose Exposure and Image Quality in Coronary Angiography Performed by 640-slice CT: A Comparison between Adaptive Iterative and Filtered Back-Projection Algorithm by Propensity Analysis. Radiologia Medica, 119(8), 642–649. https://doi.org/10.1007/s11547-014-0382-3

Chen, M. Y., Steigner, M. L., Leung, S. W., Kumamaru, K. K., Schultz, K., Mather, R. T., … Rybicki, F. J. (2013). Simulated 50 % Radiation Dose Reduction in Coronary CT Angiography using Adaptive Iterative Dose Reduction in Three-Dimensions (AIDR 3D). International Journal of Cardiovascular Imaging, 29(5), 1167–1175. https://doi.org/10.1007/s10554-013-0190-1

Fareed, A., Vavere, A. L., Zimmermann, E., Tanami, Y., Steveson, C., Matheson, M., … Arbab-Zadeh, A. (2017). Impact of Iterative Reconstruction vs. Filtered Back Projection on Image Quality in 320-Slice CT Coronary Angiography. Medicine (United States), 96(48), 1–5. https://doi.org/10.1097/MD.0000000000008452

Feger, S., Rief, M., Zimmermann, E., Martus, P., Schuijf, J. D., Blobel, J., … Dewey, M. (2015). The Impact of Different Levels of Adaptive Iterative Dose Reduction 3D on Image Quality of 320-Row Coronary CT Angiography: A Clinical Trial. PLoS ONE, 10(5), 1–16. https://doi.org/10.1371/journal.pone.0125943

Geleijns, J., & Irwan, R. (2012). Practical Approaches to Dose Reduction: Toshiba Perspective. In Medical Radiology (pp. 633–645). Berlin: Springer.

Geyer, L. L., Schoepf, U. J., Meinel, F. G., Nance, J. W., Bastarrika, G., Leipsic, J. A., … Cecco, C. N. De. (2015). State of the Art: Iterative CT. Radiology, 276(2), 339–357. https://doi.org/10.1148/radiol.2015132766

Kim, M., Lee, J. M., Yoon, J. H., Son, H., Choi, J. W., Han, J. K., & Choi, B. I. (2014). Adaptive Iterative Dose Reduction Algorithm in CT : Effect on Image Quality Compared with Filtered Back Projection in Body Phantoms of Different Sizes. 15(2), 195–204. https://doi.org/10.3348/kjr.2014.15.2.195

Lim, J., Park, E.-A., Lee, W., Shim, H., & Chung, J. W. (2015). Image Quality and Radiation Reduction of 320-Row Area Detector CT Coronary Angiography with Optimal Tube Voltage Selection and An Automatic Exposure Control System: Comparison with Body Mass Index-Adapted Protocol. International Journal of Cardiovascular Imaging, 31, 23–30. https://doi.org/10.1007/s10554-015-0594-1

Machida, H., Tanaka, I., Shen, Y., Ishikawa, T., Tate, E., & Ueno, E. (2015). Current and Novel Imaging Techniques in Coronary CT. Cardiac Imaging, 35(4), 991–1010. https://doi.org/10.1148/rg.2015140181

Madden, M. E. (2013). Introduction to Sectional Anatomy (3rd ed.). Philadelphia: Wolters Kluwer.

Nikolaou, K., & Bamberg, F. (2019). Multislice CT. In British Journal of Radiology (4th ed.). USA: Springer. https://doi.org/10.1259/bjr/19919145

Seeram, E. (2016). Computed Tomography: Physical Principles, Clinical Applications, and Quality Control (4th ed.). Missouri: Elsevier.

Shen, H., Dai, G., Luo, M., Duan, C., Cai, W., Liang, D., … Qiu, J. (2015). Image Quality and Radiation Dose of CT Coronary Angiography with Automatic Tube Current Modulation and Strong Adaptive Iterative Dose Reduction Three-Dimensional. PLoS ONE, 10(11), 1–11. https://doi.org/10.1371/journal.pone.0142185

Tatsugami, F., Matsuki, M., Nakai, G., Inada, Y., Kanazawa, S., Y, T., … Narumi, Y. (2012). The effect of adaptive iterative dose reduction on image quality in 320-detector row CT coronary angiography. 85(August), 378–382. https://doi.org/10.1259/bjr/10084599

Weir, N., & Williams, M. C. (2013). Contrast-to-Noise Ratio Improvements with AIDR 3D. Toshiba Medical System, 2–3.

Yoo, R.-E., Park, E.-A., Lee, W., Shim, H., Kim, Y. K., Chung, J. W., & Park, J. H. (2013). Image Quality of Adaptive Iterative Dose Reduction 3D of Coronary CT Angiography of 640-Slice CT : Comparison with Filtered Back-Projection. The International Journal of Cardiovascular Imaging, 29, 669–676. https://doi.org/10.1007/s10554-012-0113-6




DOI: https://doi.org/10.31983/jimed.v10i2.11346

Article Metrics

Abstract view : 111
Download PDF : 62

Refbacks

  • There are currently no refbacks.


Creative Commons License  Statcounter Global Stats - Browser, OS, Search Engine including Mobile Usage Share          Dimensions AI | The most advanced scientific research database

             
JURNAL IMEJING DIAGNOSTIK by http://ejournal.poltekkes-smg.ac.id/ojs/index.php/jimed is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

View My Stats