Brain tumor detection using monomodal intensity based medical image registration and MATLAB

EMRAH IRMAK; ERGUN ERÇELEBİ; AHMET HANİFİ ERTAŞ

Makale detayları

Brain tumor detection using monomodal intensity based medical image registration and MATLAB

Yazarlar:

EMRAH IRMAK | ERGUN ERÇELEBİ | AHMET HANİFİ ERTAŞ

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 4, pp.2730-2746

Belge Tipi:

Makale

Yayın Tarihi:

7/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000741840

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

digital image processing. Using suitable computer programming techniques and transformation between two images, a new much more informative image can be found. In this paper, three important and basic medical image registration (MIR) methods, namely MIR by maximization of mutual information, MIR using cross correlation (Fourier transform approach), and MIR by minimization of similarity metric, were proposed and accordingly two comprehensive applications were performed using MIR by minimization of the similarity metric, which uses the sum of the squared differences metric as a metric and the regular step gradient descent optimizer as an optimizer. What is more, MR images of two patients who had brain tumors are registered with different MR images of the same patients at a different time so that growthiness of the tumor inside the patient's brain can be investigated. It is thought that this paper will provide a comprehensive reference source for researchers involved in MIR because this paper contains not only a powerful explanation of three methods of medical image registration but also provides two experimental results using MIR by minimization of the similarity metric.

Makale detayları

Brain tumor detection using monomodal intensity based medical image registration and MATLAB

Yazarlar: EMRAH IRMAK | ERGUN ERÇELEBİ | AHMET HANİFİ ERTAŞ

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 4, pp.2730-2746

Belge Tipi: Makale

Yayın Tarihi: 7/2016

Belge Dili: Türkçe

Document ID (Org No.): 2000741840

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

EMRAH IRMAK | ERGUN ERÇELEBİ | AHMET HANİFİ ERTAŞ

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 4, pp.2730-2746

Belge Tipi:

Makale

Yayın Tarihi:

7/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000741840

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632