Automated Universal Image Quality Index Measurement vs. Automated Noise Measurement: Which Method is Better to Define CT Image Quality?
DOI:
https://doi.org/10.26740/jpfa.v9n2.p132-139Keywords:
CT Image, Automated Noise Measurement, Manual Noise Measurement, Universal Image Quality Index (UIQI)Abstract
Automatitation method in defining the quality of CT image is needed to optimize CT Scan treatment planning. So, the optimization of treatment planning can also be done automatically. There are various methods proposed to define the quality of an image. The purpose of this study was to find the simple and precision method to define CT image. We compared the performance of Automated Noise Measurement (ANM) and Automated Universal Image Quality Index (UIQI). We also compared them with the Manual noise measurement method based on the level of convergence in homogeneous images. The first step of Automated Noise Measurement was to create binary density slice using threshold values. Then, a masked image was performed by masking the original image and binary image. The standard deviation of every pixel for a certain kernel size was calculated by using a sliding window operation. The fourth step was to make a noise histogram from the noise map and determine the final noise in the image as the histogram peak. Then this calculation was normalized by the peak of the Hounsfield Unit (HU) histogram. All these steps were done with various kernel sizes for different slices in-homogenous phantom. In the Automatic UIQI method, the steps in the ANM method are carried out until the masked image stage, then UIQI is calculated for the masked image. The results show that automatic UIQI was more convergence in defining image quality than manual noise measurement and automated noise measurement by the lowest standard deviation which was only 0.00032867.
References
Bauhs JA, Vrieze TJ, Primak AN, Bruesewitz MR, and McCollough CH. CT Dosimetry: Com-Parison of Measure-Ment Techniques and Devices. RadioGraphics. 2008; 28(1): 245-253. DOI:
https://doi.org/10.1148/rg.281075024.
Verdun FR, Racine D, Ott JG, Tapiovaara MJ, Toroi P, Bochud FO, Veldkamp WJH, Schegerer A, Bouwman RW, Giron IH, Marshall NW, and Edyvean S. Image Quality in CT: From Physical Measurements to Model Observers. European Journal of Medical Physics. 2015; 31(8): 823-843. DOI: https://doi.org/10.1016/j.ejmp.2015.08.007.
Podgorsak EB. Radiation Oncology Physics: A Handbook for Teachers and Students. Vienna: International Atomic Energy Agency; 2005. Available from: https://www-pub.iaea.org/mtcd/publications/pdf/pub1196_web.pdf.
Goldman LW. Principles of CT: Radiation Dose and Image Quality. Journal of Nuclear Medicine Technology. 2007; 35(4): 213-225. DOI: https://doi.org/10.2967/jnmt.106.037846.
Christianson O, Winslow J, Frush DP and Samei E. Automated Technique to Measure Noise in Clinical CT Examinations. American Journal of Roentgenology. 2015; 205(1): W93-W99.
DOI: https://doi.org/10.2214/AJR.14.13613.
Medda A and DeBrunner V. Color Image Quality Index Based on the UIQI. Proceeding of 2006 IEEE Southwest Symposium on Image Analysis and Interpretation. Denver; 2006. DOI:
https://doi.org/10.1109/ssiai.2006.1633753.
Anam C, Fujibuchi T, Toyoda T, Sato N, Haryanto F, Widita R, Arif I, and Dougherty G. A Simple Method for Calibrating Pixel Values of the CT Localizer Radiograph for Calculating Water-Equivalent Diameter and Size-Specific Dose Estimate. Radiation Protection Dosimetry. 2018; 179(2): 158-168. DOI: https://doi.org/10.1093/rpd/ncx241.
Hara AK, Paden RG, Silva AC, Kujak JL, Lawder HJ, and Pavlicek W. Iterative Reconstruction Technique for Reducing Body Radiation Dose at CT: Feasibility Study. American Journal of Roentgenology. 2009; 193(3): 764-771. DOI: https://doi.org/10.2214/AJR.09.2397.
Chen B, Christianson O, Wilson JM, and Samei E. Assessment of Volumetric Noise and Resolution Performance for Linear and Nonlinear CT Reconstruction Methods. Medical Physics. 2014; 14(7): 071909. DOI: https://doi.org/10.1118/1.4881519.
Geyer LL, Schopf UJ, Meinel FG, Nance JW, Bastarrika G, Leipsic JA, Paul NS, Rengo M, Laghi A, and de Cecco CN. State of the Art: Iterative CT Reconstruction Techniques. Radiology. 2015; 276(2): 339-357. DOI: https://doi.org/10.1148/radiol.2015132766.
Shekhar R, Walimbe V, and Plishker W. Medical Image Processing. Handbook of Signal Processing Systems Second Edition. New York: Springer; 2013: 349-379. DOI:
https://doi.org/10.1007/978-1-4614-6859-2_12.
Kaza RK, Platt JF, Goodsitt MM, Al-Hawary MM, Maturen KE, Wasnik AP, and Pandya A. Emerging Techniques for Dose Optimization in Abdominal CT. RadioGraphics. 2014; 34(1): 4-17. DOI:
https://doi.org/10.1148/rg.341135038.
Anam C, Arif I, Haryanto F, Widita R, Lestari FP, Adi K, and Dougherty G. A Simplified Method for The Water-Equivalent Diameter Calculation to Estimate Patient Dose in CT Examinations. Radiation Protection Dosimetry. 2018; 185(1): 34-41. DOI: https://doi.org/10.1093/rpd/ncy214.
Solomon JB, Christianson O, and Samei E. Quantitative Comparison of Noise Texture across CT Scanners from Different Manufacturers. Medical Physics. 2012; 39(10): 6048-6055. DOI:
https://doi.org/10.1118/1.4752209.
Stock M, Pasler M, Birkfellner W, Homolka P, Poetter R, and Georg D. Image Quality and Stability of Image-Guided Radiotherapy (IGRT) Devices: A Comparative Study. Radiotherapy and Oncology. 2009; 93(1): 1-7. DOI: https://doi.org/10.1016/j.radonc.2009.07.012.
Gervaise A, Osemont B, Lecocq S, Noel A, Micard E, Felblinger J, and Blum A. CT Image Quality Improvement Using Adaptive Iterative Dose Reduction with Wide-Volume Acquisition on 320-Detector CT. European Radiology. 2012; 22(2): 295-301. DOI: https://doi.org/10.1007/s00330-011-2271-7.
Suhardi, Setiabudi W, and Anam C. Upaya Peningkatan Kualitas Citra MRI Dengan Pemberian Media Kontras. Berkala Fisika. 2013; 16(1): 9-14. Available from: https://ejournal.undip.ac.id/index.php/berkala_fisika/article/view/5001.
Anam C, Haryanto F, Widita R, and Arif I. New Noise Reduction Method for Reducing CT Scan Dose: Combining Wiener Filtering and Edge Detection Algorithm. AIP Conference Proceedings. 2015; 1677: 040004. DOI:
https://doi.org/10.1063/1.4930648.
Anam C and Santoso HB. Perbandingan Kinerja Algoritma C4.5 dan Naive Bayes untuk Klasifikasi Penerima Beasiswa. ENERGY: Jurnal Ilmiah Ilmu-Ilmu Teknik. 2018; 8(1): 13-19. Available from: https://ejournal.upm.ac.id/index.php/energy/article/view/111.
Al-Najjar YAY and Soong DC. Comparison of Image Quality Assessment: PSNR, HVS, SSIM, UIQI. International Journal of Scientific & Engineering Research. 2012; 3(8): 1-5. Available from:
https://www.ijser.org/researchpaper/Comparison-of-Image-Quality-Assessment-PSNR-HVS-SSIM-UIQI.pdf.
Kalra MK, Maher MM, Kamath RS, Horiuchi T, Toth TL, Halpern EF, and Saini S. Sixteen-Detector Row CT of Abdomen and Pelvis: Study for Optimization of Z-Axis Modulation Technique Performed in 153 Patients. Radiology. 2004; 233(1): 241-249. DOI: https://doi.org/10.1148/radiol.2331031505.
Massoumzadeh P, Don S, Holdebolt CF, Bae KT, and Whiting BR. Validation of CT Dose-Reduction Simulation. Medical Physics. 2008; 36(1): 174-189. DOI: https://doi.org/10.1118/1.3031114.
Roodt Y, Robinson P, Nel A, and Clarke W. Robust Single Image Noise Estimation from Approximate Local Statistics. Proceedings of the Twenty-Third Annual Symposium of the Pattern Recognition Association of South Africa; 2012: 4753. Available from: https://core.ac.uk/download/pdf/54204840.pdf.
Nuzula NF, Adi K, and Anam C. Correction of 2D Isodose Curve on the Sloping Surface using Tissue Air Ratio (TAR) Method. Jurnal Sains dan Matematika. 2015; 23(3): 65-72. Available from:
https://ejournal.undip.ac.id/index.php/sm/article/view/9272.
Yani S, Lestari FP, and Haryanto F. Could Water Replace Muscle Tissue used in Electron and Photon Beams? A Monte Carlo Study. Proceedings of 2nd International Conference on Biomedical Engineering (IBIOMED). Institute of Electrical and Electronic Engineers (IEEE); 2018: 70-75. DOI:
https://doi.org/10.1109/IBIOMED.2018.8534894.
Ng KH, Wong JHD, and Clarke GD. X-Ray Production. Problems and Solutions in Medical Physics. Boca Raton: CRC Press; 2018: 9-21. DOI:
https://doi.org/10.1201/9781351006781-2.
Wilson JM, Christianson OI, Richard S, and Samei E. A Methodology for Image Quality Evaluation of Advanced CT Systems. Medical Physics. 2013; 40(3): 031908. DOI: https://doi.org/10.1118/1.4791645.
Anam C, Haryanto F, Widita R, Arif I, and Dougherty G. An Investigation of Spatial Resolution and Noise in Reconstructed CT Images Using Iterative Reconstruction (IR) and Filtered Back-Projection (FBP). Journal of Physics: Conference Series. 2019; 1127: 012016. DOI: https://doi.org/10.1088/1742-6596/1127/1/012016.
Anam C, Fujibuchi T, Budi WS, Haryanto F, and Dougherty G. An Algorithm for Automated Modulation Transfer Function Measurement Using an Edge of a PMMA Phantom: Impact of Field of View on Spatial Resolution of CT Images. Journal of Applied Clinical Medical Physics. 2018; 19(6): 244-252. DOI:
https://doi.org/10.1002/acm2.12476.
https://doi.org/10.1148/rg.281075024.
Verdun FR, Racine D, Ott JG, Tapiovaara MJ, Toroi P, Bochud FO, Veldkamp WJH, Schegerer A, Bouwman RW, Giron IH, Marshall NW, and Edyvean S. Image Quality in CT: From Physical Measurements to Model Observers. European Journal of Medical Physics. 2015; 31(8): 823-843. DOI: https://doi.org/10.1016/j.ejmp.2015.08.007.
Podgorsak EB. Radiation Oncology Physics: A Handbook for Teachers and Students. Vienna: International Atomic Energy Agency; 2005. Available from: https://www-pub.iaea.org/mtcd/publications/pdf/pub1196_web.pdf.
Goldman LW. Principles of CT: Radiation Dose and Image Quality. Journal of Nuclear Medicine Technology. 2007; 35(4): 213-225. DOI: https://doi.org/10.2967/jnmt.106.037846.
Christianson O, Winslow J, Frush DP and Samei E. Automated Technique to Measure Noise in Clinical CT Examinations. American Journal of Roentgenology. 2015; 205(1): W93-W99.
DOI: https://doi.org/10.2214/AJR.14.13613.
Medda A and DeBrunner V. Color Image Quality Index Based on the UIQI. Proceeding of 2006 IEEE Southwest Symposium on Image Analysis and Interpretation. Denver; 2006. DOI:
https://doi.org/10.1109/ssiai.2006.1633753.
Anam C, Fujibuchi T, Toyoda T, Sato N, Haryanto F, Widita R, Arif I, and Dougherty G. A Simple Method for Calibrating Pixel Values of the CT Localizer Radiograph for Calculating Water-Equivalent Diameter and Size-Specific Dose Estimate. Radiation Protection Dosimetry. 2018; 179(2): 158-168. DOI: https://doi.org/10.1093/rpd/ncx241.
Hara AK, Paden RG, Silva AC, Kujak JL, Lawder HJ, and Pavlicek W. Iterative Reconstruction Technique for Reducing Body Radiation Dose at CT: Feasibility Study. American Journal of Roentgenology. 2009; 193(3): 764-771. DOI: https://doi.org/10.2214/AJR.09.2397.
Chen B, Christianson O, Wilson JM, and Samei E. Assessment of Volumetric Noise and Resolution Performance for Linear and Nonlinear CT Reconstruction Methods. Medical Physics. 2014; 14(7): 071909. DOI: https://doi.org/10.1118/1.4881519.
Geyer LL, Schopf UJ, Meinel FG, Nance JW, Bastarrika G, Leipsic JA, Paul NS, Rengo M, Laghi A, and de Cecco CN. State of the Art: Iterative CT Reconstruction Techniques. Radiology. 2015; 276(2): 339-357. DOI: https://doi.org/10.1148/radiol.2015132766.
Shekhar R, Walimbe V, and Plishker W. Medical Image Processing. Handbook of Signal Processing Systems Second Edition. New York: Springer; 2013: 349-379. DOI:
https://doi.org/10.1007/978-1-4614-6859-2_12.
Kaza RK, Platt JF, Goodsitt MM, Al-Hawary MM, Maturen KE, Wasnik AP, and Pandya A. Emerging Techniques for Dose Optimization in Abdominal CT. RadioGraphics. 2014; 34(1): 4-17. DOI:
https://doi.org/10.1148/rg.341135038.
Anam C, Arif I, Haryanto F, Widita R, Lestari FP, Adi K, and Dougherty G. A Simplified Method for The Water-Equivalent Diameter Calculation to Estimate Patient Dose in CT Examinations. Radiation Protection Dosimetry. 2018; 185(1): 34-41. DOI: https://doi.org/10.1093/rpd/ncy214.
Solomon JB, Christianson O, and Samei E. Quantitative Comparison of Noise Texture across CT Scanners from Different Manufacturers. Medical Physics. 2012; 39(10): 6048-6055. DOI:
https://doi.org/10.1118/1.4752209.
Stock M, Pasler M, Birkfellner W, Homolka P, Poetter R, and Georg D. Image Quality and Stability of Image-Guided Radiotherapy (IGRT) Devices: A Comparative Study. Radiotherapy and Oncology. 2009; 93(1): 1-7. DOI: https://doi.org/10.1016/j.radonc.2009.07.012.
Gervaise A, Osemont B, Lecocq S, Noel A, Micard E, Felblinger J, and Blum A. CT Image Quality Improvement Using Adaptive Iterative Dose Reduction with Wide-Volume Acquisition on 320-Detector CT. European Radiology. 2012; 22(2): 295-301. DOI: https://doi.org/10.1007/s00330-011-2271-7.
Suhardi, Setiabudi W, and Anam C. Upaya Peningkatan Kualitas Citra MRI Dengan Pemberian Media Kontras. Berkala Fisika. 2013; 16(1): 9-14. Available from: https://ejournal.undip.ac.id/index.php/berkala_fisika/article/view/5001.
Anam C, Haryanto F, Widita R, and Arif I. New Noise Reduction Method for Reducing CT Scan Dose: Combining Wiener Filtering and Edge Detection Algorithm. AIP Conference Proceedings. 2015; 1677: 040004. DOI:
https://doi.org/10.1063/1.4930648.
Anam C and Santoso HB. Perbandingan Kinerja Algoritma C4.5 dan Naive Bayes untuk Klasifikasi Penerima Beasiswa. ENERGY: Jurnal Ilmiah Ilmu-Ilmu Teknik. 2018; 8(1): 13-19. Available from: https://ejournal.upm.ac.id/index.php/energy/article/view/111.
Al-Najjar YAY and Soong DC. Comparison of Image Quality Assessment: PSNR, HVS, SSIM, UIQI. International Journal of Scientific & Engineering Research. 2012; 3(8): 1-5. Available from:
https://www.ijser.org/researchpaper/Comparison-of-Image-Quality-Assessment-PSNR-HVS-SSIM-UIQI.pdf.
Kalra MK, Maher MM, Kamath RS, Horiuchi T, Toth TL, Halpern EF, and Saini S. Sixteen-Detector Row CT of Abdomen and Pelvis: Study for Optimization of Z-Axis Modulation Technique Performed in 153 Patients. Radiology. 2004; 233(1): 241-249. DOI: https://doi.org/10.1148/radiol.2331031505.
Massoumzadeh P, Don S, Holdebolt CF, Bae KT, and Whiting BR. Validation of CT Dose-Reduction Simulation. Medical Physics. 2008; 36(1): 174-189. DOI: https://doi.org/10.1118/1.3031114.
Roodt Y, Robinson P, Nel A, and Clarke W. Robust Single Image Noise Estimation from Approximate Local Statistics. Proceedings of the Twenty-Third Annual Symposium of the Pattern Recognition Association of South Africa; 2012: 4753. Available from: https://core.ac.uk/download/pdf/54204840.pdf.
Nuzula NF, Adi K, and Anam C. Correction of 2D Isodose Curve on the Sloping Surface using Tissue Air Ratio (TAR) Method. Jurnal Sains dan Matematika. 2015; 23(3): 65-72. Available from:
https://ejournal.undip.ac.id/index.php/sm/article/view/9272.
Yani S, Lestari FP, and Haryanto F. Could Water Replace Muscle Tissue used in Electron and Photon Beams? A Monte Carlo Study. Proceedings of 2nd International Conference on Biomedical Engineering (IBIOMED). Institute of Electrical and Electronic Engineers (IEEE); 2018: 70-75. DOI:
https://doi.org/10.1109/IBIOMED.2018.8534894.
Ng KH, Wong JHD, and Clarke GD. X-Ray Production. Problems and Solutions in Medical Physics. Boca Raton: CRC Press; 2018: 9-21. DOI:
https://doi.org/10.1201/9781351006781-2.
Wilson JM, Christianson OI, Richard S, and Samei E. A Methodology for Image Quality Evaluation of Advanced CT Systems. Medical Physics. 2013; 40(3): 031908. DOI: https://doi.org/10.1118/1.4791645.
Anam C, Haryanto F, Widita R, Arif I, and Dougherty G. An Investigation of Spatial Resolution and Noise in Reconstructed CT Images Using Iterative Reconstruction (IR) and Filtered Back-Projection (FBP). Journal of Physics: Conference Series. 2019; 1127: 012016. DOI: https://doi.org/10.1088/1742-6596/1127/1/012016.
Anam C, Fujibuchi T, Budi WS, Haryanto F, and Dougherty G. An Algorithm for Automated Modulation Transfer Function Measurement Using an Edge of a PMMA Phantom: Impact of Field of View on Spatial Resolution of CT Images. Journal of Applied Clinical Medical Physics. 2018; 19(6): 244-252. DOI:
https://doi.org/10.1002/acm2.12476.
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2019-12-31
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Lestari, F. P., Anam, C., Hardiyanti, Y. and Haryanto, F. (2019) “Automated Universal Image Quality Index Measurement vs. Automated Noise Measurement: Which Method is Better to Define CT Image Quality?”, Jurnal Penelitian Fisika dan Aplikasinya (JPFA), 9(2), pp. 132–139. doi: 10.26740/jpfa.v9n2.p132-139.
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