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Erschienen in: Journal of Medical Systems 6/2016

01.06.2016 | Transactional Processing Systems

A Computer-Aided Diagnosis System for Measuring Carotid Artery Intima-Media Thickness (IMT) Using Quaternion Vectors

verfasst von: Uğurhan Kutbay, Fırat Hardalaç, Mehmet Akbulut, Ünsal Akaslan, Selami Serhatlıoğlu

Erschienen in: Journal of Medical Systems | Ausgabe 6/2016

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Abstract

This study aims investigating adjustable distant fuzzy c-means segmentation on carotid Doppler images, as well as quaternion-based convolution filters and saliency mapping procedures. We developed imaging software that will simplify the measurement of carotid artery intima-media thickness (IMT) on saliency mapping images. Additionally, specialists evaluated the present images and compared them with saliency mapping images. In the present research, we conducted imaging studies of 25 carotid Doppler images obtained by the Department of Cardiology at Fırat University. After implementing fuzzy c-means segmentation and quaternion-based convolution on all Doppler images, we obtained a model that can be analyzed easily by the doctors using a bottom-up saliency model. These methods were applied to 25 carotid Doppler images and then interpreted by specialists. In the present study, we used color-filtering methods to obtain carotid color images. Saliency mapping was performed on the obtained images, and the carotid artery IMT was detected and interpreted on the obtained images from both methods and the raw images are shown in Results. Also these results were investigated by using Mean Square Error (MSE) for the raw IMT images and the method which gives the best performance is the Quaternion Based Saliency Mapping (QBSM). 0,0014 and 0,000191 mm2 MSEs were obtained for artery lumen diameters and plaque diameters in carotid arteries respectively. We found that computer-based image processing methods used on carotid Doppler could aid doctors’ in their decision-making process. We developed software that could ease the process of measuring carotid IMT for cardiologists and help them to evaluate their findings.
Literatur
1.
Zurück zum Zitat Ucar, G., Secil, M., Demir, O., Demir, T., Comlekci, A., Uysal, S., and Esen, A. A., The combined use of brachial artery flow-mediated dilatation and carotid artery intima-media thickness measurements may be a method to determine vasculogenic erectile dysfunction. Int. J. Impot. Res. 19(6):577–583, 2007.CrossRefPubMed Ucar, G., Secil, M., Demir, O., Demir, T., Comlekci, A., Uysal, S., and Esen, A. A., The combined use of brachial artery flow-mediated dilatation and carotid artery intima-media thickness measurements may be a method to determine vasculogenic erectile dysfunction. Int. J. Impot. Res. 19(6):577–583, 2007.CrossRefPubMed
2.
Zurück zum Zitat Gaitini, D., and Soudack, M., Diagnosing carotid stenosis by Doppler sonography: State of the art. J. Ultrasound Med. 24:1127–1136, 2005.PubMed Gaitini, D., and Soudack, M., Diagnosing carotid stenosis by Doppler sonography: State of the art. J. Ultrasound Med. 24:1127–1136, 2005.PubMed
3.
Zurück zum Zitat Tahmasebpour, H. R., Buckley, A. R., Cooperberg, P. L., and Fix, C. H., Sonographic examination of the carotid arteries. Radiographics 25:1561–1575, 2005.CrossRefPubMed Tahmasebpour, H. R., Buckley, A. R., Cooperberg, P. L., and Fix, C. H., Sonographic examination of the carotid arteries. Radiographics 25:1561–1575, 2005.CrossRefPubMed
4.
Zurück zum Zitat Hatsukami, T. S., Primozich, J., Zierler, R. E., and Strandness, D. E., Jr., Color Doppler characteristics in normal lower extremity arteries. Ultrasound Med. Biol. 18(2):167–171, 1992.CrossRefPubMed Hatsukami, T. S., Primozich, J., Zierler, R. E., and Strandness, D. E., Jr., Color Doppler characteristics in normal lower extremity arteries. Ultrasound Med. Biol. 18(2):167–171, 1992.CrossRefPubMed
5.
Zurück zum Zitat Melillo, P., Orrico, A., Scala, P., Crispino, F., and Pecchia, L., Cloud-based smart health monitoring system for automatic cardiovascular and fall risk assessment in hypertensive patients. J. Med. Syst. 39:109, 2015.CrossRefPubMed Melillo, P., Orrico, A., Scala, P., Crispino, F., and Pecchia, L., Cloud-based smart health monitoring system for automatic cardiovascular and fall risk assessment in hypertensive patients. J. Med. Syst. 39:109, 2015.CrossRefPubMed
6.
Zurück zum Zitat Molinari, F., Zeng, G., and Suri, J. S., Inter-greedy technique for fusion of different segmentation strategies leading to high-performance carotid IMT measurement in ultrasound images. J. Med. Syst. 35:905–919, 2011.CrossRefPubMed Molinari, F., Zeng, G., and Suri, J. S., Inter-greedy technique for fusion of different segmentation strategies leading to high-performance carotid IMT measurement in ultrasound images. J. Med. Syst. 35:905–919, 2011.CrossRefPubMed
7.
Zurück zum Zitat Loizou, C. P., Kasparis, T., Lazarou, T., Pattichis, C. S., and Pantziaris, M., Manual and automated intima-media thickness and diameter measurements of the common carotid artery in patients with renal failure disease. Comput. Biol. Med. 53:220–229, 2014.CrossRefPubMed Loizou, C. P., Kasparis, T., Lazarou, T., Pattichis, C. S., and Pantziaris, M., Manual and automated intima-media thickness and diameter measurements of the common carotid artery in patients with renal failure disease. Comput. Biol. Med. 53:220–229, 2014.CrossRefPubMed
8.
Zurück zum Zitat Fei, D. Y., Liu, D. D., Fu, C. T., Makhoul, R. G., and Fisher, M. R., Feasibility of angle independent Doppler color imaging for in vivo application: Preliminary study on carotid arteries. Ultrasound Med. Biol. 23(1):59–67, 1997.CrossRefPubMed Fei, D. Y., Liu, D. D., Fu, C. T., Makhoul, R. G., and Fisher, M. R., Feasibility of angle independent Doppler color imaging for in vivo application: Preliminary study on carotid arteries. Ultrasound Med. Biol. 23(1):59–67, 1997.CrossRefPubMed
9.
Zurück zum Zitat Jmor, S., El-Atrozy, T., Griffin, M., Tegos, T., Dhanjil, S., and Nicolaides, A., Grading internal carotid artery stenosis using B-mode ultrasound (in vivo study). Eur. J. Vasc. Endovasc. Surg. 18(4):315–322, 1999.CrossRefPubMed Jmor, S., El-Atrozy, T., Griffin, M., Tegos, T., Dhanjil, S., and Nicolaides, A., Grading internal carotid artery stenosis using B-mode ultrasound (in vivo study). Eur. J. Vasc. Endovasc. Surg. 18(4):315–322, 1999.CrossRefPubMed
10.
Zurück zum Zitat Bonanno, L., Marino, S., Bramanti, P., and Sottile, F., Validation of a computer-aided diagnosis system for the automatic identification of carotid atherosclerosis. Ultrasound Med. Biol. 41(2):509–516, 2015.CrossRefPubMed Bonanno, L., Marino, S., Bramanti, P., and Sottile, F., Validation of a computer-aided diagnosis system for the automatic identification of carotid atherosclerosis. Ultrasound Med. Biol. 41(2):509–516, 2015.CrossRefPubMed
11.
Zurück zum Zitat Santos, A. M. F., Santos, R. M. D., Castro, P. M. A. C., Azevedo, E., Sousa, L., and Tavares, J. M. R. S., A novel automatic algorithm for the segmentation of the lumen of the carotid artery in ultrasound B-mode images. Expert Syst. Appl. 40(16):6570–6579, 2013.CrossRef Santos, A. M. F., Santos, R. M. D., Castro, P. M. A. C., Azevedo, E., Sousa, L., and Tavares, J. M. R. S., A novel automatic algorithm for the segmentation of the lumen of the carotid artery in ultrasound B-mode images. Expert Syst. Appl. 40(16):6570–6579, 2013.CrossRef
12.
Zurück zum Zitat Mougiakakou, S. G., Golemati, S., Gousias, I., Nicolaides, A. N., and Nikita, K. S., Computer-aided diagnosis of carotid atherosclerosis based on ultrasound image statistics, laws’ texture and neural networks. Ultrasound Med. Biol. 33(1):26–36, 2007.CrossRefPubMed Mougiakakou, S. G., Golemati, S., Gousias, I., Nicolaides, A. N., and Nikita, K. S., Computer-aided diagnosis of carotid atherosclerosis based on ultrasound image statistics, laws’ texture and neural networks. Ultrasound Med. Biol. 33(1):26–36, 2007.CrossRefPubMed
13.
Zurück zum Zitat Rossi, A. C., Brands, P. J., and Hoeks, A. P. G., Automatic recognition of the common carotid artery in longitudinal ultrasound B-mode scans. Med. Image Anal. 12:653–665, 2008.CrossRefPubMed Rossi, A. C., Brands, P. J., and Hoeks, A. P. G., Automatic recognition of the common carotid artery in longitudinal ultrasound B-mode scans. Med. Image Anal. 12:653–665, 2008.CrossRefPubMed
14.
Zurück zum Zitat Juanes, J. A., Ruisoto, P., Obeso, J. A., Prats, A., and San-Molina, J., Computer-based visualization system for the study of deep brain structures involved in Parkinson’s disease. J. Med. Syst. 39:151, 2015.CrossRefPubMed Juanes, J. A., Ruisoto, P., Obeso, J. A., Prats, A., and San-Molina, J., Computer-based visualization system for the study of deep brain structures involved in Parkinson’s disease. J. Med. Syst. 39:151, 2015.CrossRefPubMed
15.
Zurück zum Zitat Acharya, U. R., Faust, O., Alvin, A. P. C., Sree, S. V., Molinari, F., Saba, L., Nicolaides, A., and Suri, J. S., Symptomatic versus asymptomatic plaque classification in carotid ultrasound. J. Med. Syst. 3:1861–1871, 2012.CrossRef Acharya, U. R., Faust, O., Alvin, A. P. C., Sree, S. V., Molinari, F., Saba, L., Nicolaides, A., and Suri, J. S., Symptomatic versus asymptomatic plaque classification in carotid ultrasound. J. Med. Syst. 3:1861–1871, 2012.CrossRef
16.
Zurück zum Zitat Angulo, J., Geometric algebra colour image representations and derived total orderings for morphological operators – part I: Colour quaternions. J. Vis. Commun. Image Represent 21(1):33–48, 2010.CrossRef Angulo, J., Geometric algebra colour image representations and derived total orderings for morphological operators – part I: Colour quaternions. J. Vis. Commun. Image Represent 21(1):33–48, 2010.CrossRef
17.
Zurück zum Zitat Angulo, J., and Serra, J., Modelling and segmentation of colour images in polar representations. Image Vis. Comput. 25(4):475–495, 2007.CrossRef Angulo, J., and Serra, J., Modelling and segmentation of colour images in polar representations. Image Vis. Comput. 25(4):475–495, 2007.CrossRef
18.
Zurück zum Zitat Zenzo, S. D., A note on the gradient of a multi-image. Comput. Vis. Graph. Image Process. 33(1):116–125, 1986.CrossRef Zenzo, S. D., A note on the gradient of a multi-image. Comput. Vis. Graph. Image Process. 33(1):116–125, 1986.CrossRef
19.
Zurück zum Zitat Sochen, N., and Zeevi, Y.Y., Representation of colored images by manifolds embedded in higher dimensional non-Euclidean space, 1998 Proc of the Int Conf on Img Proc, pp. 1:166–170, 1998. Sochen, N., and Zeevi, Y.Y., Representation of colored images by manifolds embedded in higher dimensional non-Euclidean space, 1998 Proc of the Int Conf on Img Proc, pp. 1:166–170, 1998.
20.
Zurück zum Zitat Sochen, N., Kimmel, R., and Malladi, R., A general framework for low level vision. IEEE Trans. Image Process. 7(3):310–318, 1998.CrossRefPubMed Sochen, N., Kimmel, R., and Malladi, R., A general framework for low level vision. IEEE Trans. Image Process. 7(3):310–318, 1998.CrossRefPubMed
21.
Zurück zum Zitat Sangwine, S. J., Fourier transforms of colour images using quaternion, or hypercomplex, numbers. Electron. Lett. 32(21):1979–1980, 1996.CrossRef Sangwine, S. J., Fourier transforms of colour images using quaternion, or hypercomplex, numbers. Electron. Lett. 32(21):1979–1980, 1996.CrossRef
22.
Zurück zum Zitat Riche, N., Mancas, M., Duvinage, M., Mibulumukini, M., Gosselin, B., and Dutoit, T., RARE2012:A multi-scaler rarity-based saliency detection with its comparative statistical analysis. Signal Process. Image Commun. 28(6):642–658, 2013.CrossRef Riche, N., Mancas, M., Duvinage, M., Mibulumukini, M., Gosselin, B., and Dutoit, T., RARE2012:A multi-scaler rarity-based saliency detection with its comparative statistical analysis. Signal Process. Image Commun. 28(6):642–658, 2013.CrossRef
23.
Zurück zum Zitat Bernal, J., Sánchez, F. J., Fernández-Esparrach, G., Gil, D., Rodríguez, C., and Vilariño, F., WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians. Comput. Med. Imaging Graph. 43:99–111, 2015.CrossRefPubMed Bernal, J., Sánchez, F. J., Fernández-Esparrach, G., Gil, D., Rodríguez, C., and Vilariño, F., WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians. Comput. Med. Imaging Graph. 43:99–111, 2015.CrossRefPubMed
24.
Zurück zum Zitat Chen, Y., Pan, Y., Song, M., and Wang, M., Improved seam carving combining with 3D saliency for image retargeting. Neurocomputing 151:645–653, 2015.CrossRef Chen, Y., Pan, Y., Song, M., and Wang, M., Improved seam carving combining with 3D saliency for image retargeting. Neurocomputing 151:645–653, 2015.CrossRef
25.
Zurück zum Zitat Sangwine, S. J., Colour image edge detector based on quaternion convolution. Electron. Lett. 34(10):969–971, 1998.CrossRef Sangwine, S. J., Colour image edge detector based on quaternion convolution. Electron. Lett. 34(10):969–971, 1998.CrossRef
26.
Zurück zum Zitat Borji, A., and Itti, L., State-of-the-art in visual attention modeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(1):185–207, 2012.CrossRef Borji, A., and Itti, L., State-of-the-art in visual attention modeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(1):185–207, 2012.CrossRef
27.
Zurück zum Zitat Mehmood, I., Sajjad, M., Ejaz, W., and Baik, S. W., Saliency-directed prioritization of visual data in wireless surveillance networks. Inf. Fusion 24:16–30, 2015.CrossRef Mehmood, I., Sajjad, M., Ejaz, W., and Baik, S. W., Saliency-directed prioritization of visual data in wireless surveillance networks. Inf. Fusion 24:16–30, 2015.CrossRef
28.
Zurück zum Zitat Zhao, J., Chen, Y., Feng, H., Xu, Z., and Li, Q., Infrared image enhancement through saliency feature analysis based on multi-scale decomposition. Infrared Phys. Technol. 62:86–93, 2014.CrossRef Zhao, J., Chen, Y., Feng, H., Xu, Z., and Li, Q., Infrared image enhancement through saliency feature analysis based on multi-scale decomposition. Infrared Phys. Technol. 62:86–93, 2014.CrossRef
29.
Zurück zum Zitat Wu, J., Qi, F., Shi, G., and Lu, Y., Non-local spatial redundancy reduction for bottom-up saliency estimation. J. Vis. Commun. Image Represent. 23(7):1158–1166, 2012.CrossRef Wu, J., Qi, F., Shi, G., and Lu, Y., Non-local spatial redundancy reduction for bottom-up saliency estimation. J. Vis. Commun. Image Represent. 23(7):1158–1166, 2012.CrossRef
30.
Zurück zum Zitat Itti, L., Automatic Foveation for video compression using a neurobiological model of visual attention. IEEE Trans. Image Process. 13(10):1304–1318, 2004.CrossRefPubMed Itti, L., Automatic Foveation for video compression using a neurobiological model of visual attention. IEEE Trans. Image Process. 13(10):1304–1318, 2004.CrossRefPubMed
31.
Zurück zum Zitat Itti, L., Koch, C., and Niebur, E., A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20(11):1254–1259, 1998.CrossRef Itti, L., Koch, C., and Niebur, E., A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20(11):1254–1259, 1998.CrossRef
32.
Zurück zum Zitat Koch, C., and Ullman, S., Shifts in selective visual attention: Towards the underlying neural circuitry. Hum. Neurobiol. 4:219–227, 1985.PubMed Koch, C., and Ullman, S., Shifts in selective visual attention: Towards the underlying neural circuitry. Hum. Neurobiol. 4:219–227, 1985.PubMed
33.
Zurück zum Zitat Treisman, A. M., and Gelade, G., A feature integration theory of attention. Cogn. Psychol. 12:97–136, 1980.CrossRefPubMed Treisman, A. M., and Gelade, G., A feature integration theory of attention. Cogn. Psychol. 12:97–136, 1980.CrossRefPubMed
34.
Zurück zum Zitat Kutbay, U., and Hardalaç, F., CT liver tissue segmentation using distance regularized level set evolution based on spatial fuzzy clustering. Energy Educ. Sci. Technol. Part A Energy Sci. Res. 29(2):715–720, 2012. Kutbay, U., and Hardalaç, F., CT liver tissue segmentation using distance regularized level set evolution based on spatial fuzzy clustering. Energy Educ. Sci. Technol. Part A Energy Sci. Res. 29(2):715–720, 2012.
35.
Zurück zum Zitat Osher, S., and Sethian, J. A., Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations. J. Comput. Phys. 79(1):12–49, 1988.CrossRef Osher, S., and Sethian, J. A., Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations. J. Comput. Phys. 79(1):12–49, 1988.CrossRef
36.
Zurück zum Zitat Kass, M., Witkin, A., and Terzopoulos, D., Snakes: Active contour models. Int. J. Comput. Vis. 1(4):321–331, 1987.CrossRef Kass, M., Witkin, A., and Terzopoulos, D., Snakes: Active contour models. Int. J. Comput. Vis. 1(4):321–331, 1987.CrossRef
37.
Zurück zum Zitat Xu, C., and Prince, J. L., Snakes, shapes, and gradient vector flow. IEEE Trans. Image Process. 7(3):359–369, 1998.CrossRefPubMed Xu, C., and Prince, J. L., Snakes, shapes, and gradient vector flow. IEEE Trans. Image Process. 7(3):359–369, 1998.CrossRefPubMed
38.
Zurück zum Zitat Li, C., Kao, C. Y., Gore, J. C., and Ding, Z., Minimization of region-scalable fitting energy for image segmentation. IEEE Trans. Image Process. 17(10):1940–1949, 2008.CrossRefPubMedPubMedCentral Li, C., Kao, C. Y., Gore, J. C., and Ding, Z., Minimization of region-scalable fitting energy for image segmentation. IEEE Trans. Image Process. 17(10):1940–1949, 2008.CrossRefPubMedPubMedCentral
39.
Zurück zum Zitat Cremers, D., A multiphase levelset framework for variational motion segmentation. Scale Space Meth. Comput. Vis. 2695:599–614, 2003.CrossRef Cremers, D., A multiphase levelset framework for variational motion segmentation. Scale Space Meth. Comput. Vis. 2695:599–614, 2003.CrossRef
40.
Zurück zum Zitat Paragios, N., and Deriche, R., Geodesic active contours and level sets for detection and tracking of moving objects. IEEE Trans. Pattern Anal. Mach. Intell. 22(3):266–280, 2000.CrossRef Paragios, N., and Deriche, R., Geodesic active contours and level sets for detection and tracking of moving objects. IEEE Trans. Pattern Anal. Mach. Intell. 22(3):266–280, 2000.CrossRef
41.
Zurück zum Zitat Ahmed, M. N., Yamany, Y. M., Mohamed, N., Farag, A. A., and Moriarty, T., A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans. Med. Imaging 21(3):193–199, 2002.CrossRefPubMed Ahmed, M. N., Yamany, Y. M., Mohamed, N., Farag, A. A., and Moriarty, T., A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans. Med. Imaging 21(3):193–199, 2002.CrossRefPubMed
42.
Zurück zum Zitat Hardalac, F., Basaranoglu, M., Yüksel, M., Kutbay, U., et al., The rate of mucosal healing by azathioprine therapy and prediction by artificial systems. Turk. J. Gastroenterol. 26(4):315–321, 2015.CrossRefPubMed Hardalac, F., Basaranoglu, M., Yüksel, M., Kutbay, U., et al., The rate of mucosal healing by azathioprine therapy and prediction by artificial systems. Turk. J. Gastroenterol. 26(4):315–321, 2015.CrossRefPubMed
43.
Zurück zum Zitat Cheng, D. C., Schmidt-Trucksäss, A., Liu, C. H., and Liu, S. H., Automated detection of the arterial inner walls of the common carotid artery based on dynamic B-mode signals. Sensors 10(12):10601–10619, 2010.CrossRefPubMedPubMedCentral Cheng, D. C., Schmidt-Trucksäss, A., Liu, C. H., and Liu, S. H., Automated detection of the arterial inner walls of the common carotid artery based on dynamic B-mode signals. Sensors 10(12):10601–10619, 2010.CrossRefPubMedPubMedCentral
Metadaten
Titel
A Computer-Aided Diagnosis System for Measuring Carotid Artery Intima-Media Thickness (IMT) Using Quaternion Vectors
verfasst von
Uğurhan Kutbay
Fırat Hardalaç
Mehmet Akbulut
Ünsal Akaslan
Selami Serhatlıoğlu
Publikationsdatum
01.06.2016
Verlag
Springer US
Erschienen in
Journal of Medical Systems / Ausgabe 6/2016
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-016-0507-4

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