Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements

Değirmenci, Evren; EYÜBOGLU, B. MURAT

Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements

Evren DEĞİRMENCİ, (Toros Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü, Mersin)

Behçet Murat EYÜBOĞLU (Orta Doğu Teknik Üniversitesi, Elektrik Elektronik Mühendisliği Bölümü, Ankara, Türkiye)

Turkish Journal of Electrical Engineering and Computer Sciences

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Yıl: 2017 Cilt: 25 Sayı: 1 Sayfa Aralığı: 474 - 483 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements

Öz:

Magnetic resonance conductivity tensor imaging (MRCTI) was proposed recently to produce electrical conductivity images of anisotropic tissues. Similar to magnetic resonance electrical impedance tomography (MREIT), MRCTI uses magnetic field and boundary potential measurements obtained utilizing magnetic resonance imaging techniques. MRCTI reconstructs tensor images of anisotropic conductivity whereas MREIT reconstructs isotropic conductivity images. In this study, spatial resolution and linearity of five recently proposed MRCTI algorithms are evaluated using simulated measurements gathered from three different computer models. The results show that all five algorithms have quite similar reconstruction performances. Since the ABz S algorithm is easier to apply compared to the other four algorithms it can be said to be the best algorithm among the five algorithms.

Anahtar Kelime:

Konular: Mühendislik, Elektrik ve Elektronik

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

[1] Zhang N. Electrical impedance tomography based on current density imaging. MSc, University of Toronto, Toronto, Canada, 1992.
[2] Ey¨ubo˘glu BM, Reddy R, Leigh JS. Imaging electrical current density using nuclear magnetic resonance. Turk J Electr Eng Co 1998; 6: 201-214.
[3] Ey¨ubo˘glu BM. Magnetic resonance - electrical impedance tomography. In: Akay M, editor. Encyclopedia of Biomedical Engineering. Hoboken, NJ, USA: Wiley, 2006. pp. 2154-2162.
[4] Ozdemir MS, Ey¨ubo˘glu BM, ¨ Ozbek O. Equipotential projection-based magnetic resonance electrical impedance ¨ tomography and experimental realization. Phys Med Biol 2004; 49: 4765-4783.
[5] Kwon O, Woo EJ, Yoon JR, Seo JK. Magnetic resonance electrical impedance tomography (MREIT): Simulation study of J-substitution algorithm. IEEE T Bio-Med Eng 2002; 49: 160-167.
[6] ˙Ider YZ, Birg¨ul O. Use of the magnetic field generated by the internal distribution of injected currents for electrical ¨ impedance tomography (MR-EIT). Turk J Electr Eng Co 1998; 6: 215-225.
[7] Oh SH, Lee BI, Woo EJ, Lee SY, Cho MH, Kwon O, Seo JK. Conductivity and current density image reconstruction using harmonic Bz algorithm in magnetic resonance electrical impedance tomography. Phys Med Biol 2003; 48: 3101-3116.
[8] Birg¨ul O, Ey¨ubo˘glu BM, ¨ ˙Ider YZ. Current constrained voltage scaled reconstruction (CCVSR) algorithm for magnetic resonance-electrical impedance tomography and performance with different probing current patterns. Phys Med Biol 2003; 48: 653-671.
[9] Woo EJ, Seo JK. Magnetic resonance electrical impedance tomography (MREIT) for high-resolution conductivity imaging. Physiol Meas 2008; 29: R1-26.
[10] Boone K, Barber D, Brown B. Imaging with electricity: report of the European concerted action on impedance tomography. J Med Eng Technol 1997; 21: 201-232.
[11] Breckon W. The problem of anisotropy in electrical impedance tomography. In: IEEE EMBS Conference; 20 October1 November 1992; Paris, France. New York, NY, USA: IEEE. pp. 1734-1735.
[12] De˘girmenci E, Ey¨ubo˘glu BM. Performance analysis of two magnetic resonance - electrical impedance tomography (MR-EIT) reconstruction algorithms to image anisotropic conductivity. In: 11th International Biomedical Science and Technology Days; 610 September 2004; Ankara, Turkey. pp. 1-23.
[13] De˘girmenci E, Ey¨ubo˘glu BM. Anisotropic conductivity imaging with MREIT using equipotential projection algorithm. Phys Med Biol 2007; 52: 7229-7242.
[14] De˘girmenci E, Ey¨ubo˘glu BM. Image reconstruction in magnetic resonance conductivity tensor imaging (MRCTI). IEEE T Med Imaging 2012; 31: 525-532.
[15] Seo JK, Pyo HC, Park C, Kwon O, Woo EJ. Image reconstruction of anisotropic conductivity tensor distribution in MREIT: computer simulation study. Phys Med Biol 2004; 49: 4371-4382.

APA	Değirmenci E, EYÜBOGLU B (2017). Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements. , 474 - 483.
Chicago	Değirmenci Evren,EYÜBOGLU B. MURAT Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements. (2017): 474 - 483.
MLA	Değirmenci Evren,EYÜBOGLU B. MURAT Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements. , 2017, ss.474 - 483.
AMA	Değirmenci E,EYÜBOGLU B Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements. . 2017; 474 - 483.
Vancouver	Değirmenci E,EYÜBOGLU B Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements. . 2017; 474 - 483.
IEEE	Değirmenci E,EYÜBOGLU B "Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements." , ss.474 - 483, 2017.
ISNAD	Değirmenci, Evren - EYÜBOGLU, B. MURAT. "Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements". (2017), 474-483.

APA	Değirmenci E, EYÜBOGLU B (2017). Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements. Turkish Journal of Electrical Engineering and Computer Sciences, 25(1), 474 - 483.
Chicago	Değirmenci Evren,EYÜBOGLU B. MURAT Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements. Turkish Journal of Electrical Engineering and Computer Sciences 25, no.1 (2017): 474 - 483.
MLA	Değirmenci Evren,EYÜBOGLU B. MURAT Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements. Turkish Journal of Electrical Engineering and Computer Sciences, vol.25, no.1, 2017, ss.474 - 483.
AMA	Değirmenci E,EYÜBOGLU B Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements. Turkish Journal of Electrical Engineering and Computer Sciences. 2017; 25(1): 474 - 483.
Vancouver	Değirmenci E,EYÜBOGLU B Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements. Turkish Journal of Electrical Engineering and Computer Sciences. 2017; 25(1): 474 - 483.
IEEE	Değirmenci E,EYÜBOGLU B "Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements." Turkish Journal of Electrical Engineering and Computer Sciences, 25, ss.474 - 483, 2017.
ISNAD	Değirmenci, Evren - EYÜBOGLU, B. MURAT. "Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements". Turkish Journal of Electrical Engineering and Computer Sciences 25/1 (2017), 474-483.