Analytical study of medical image combination techniques

Other Title(s)

الدراسة التحليلية لتقنيات صهر الصور الطبية

Joint Authors

Abbas, Hibah Khudayr
Mahdi, Anwar Hasan
Ahmad, Sali Fawzi
al-Zaki, Ali Abd Dawud

Source

Iraqi Journal of Science

Issue

Vol. 59, Issue 3B (30 Sep. 2018), pp.1538-1547, 10 p.

Publisher

University of Baghdad College of Science

Publication Date

2018-09-30

Country of Publication

Iraq

No. of Pages

10

Main Subjects

Physics
Information Technology and Computer Science

Abstract EN

Image combination is a technique that fuses two or more medical images taken with different conditions or imaging devices into a single image contain complete information.

In this study relied on mathematical, statistical and spatial techniques, to fuse MRI images that captured horizontal and vertical times (T1, T2), and applied a method of supervised classification based on the minimum distance before and after combination process, then examine the quality of the resulting image based on the statistical standards resulting from the analysis of edge analysis, showing the results to identify the best techniques adopted in combination process, determine the exact details in each class and between classes.

American Psychological Association (APA)

Abbas, Hibah Khudayr& Mahdi, Anwar Hasan& al-Zaki, Ali Abd Dawud& Ahmad, Sali Fawzi. 2018. Analytical study of medical image combination techniques. Iraqi Journal of Science،Vol. 59, no. 3B, pp.1538-1547.
https://search.emarefa.net/detail/BIM-875841

Modern Language Association (MLA)

Abbas, Hibah Khudayr…[et al.]. Analytical study of medical image combination techniques. Iraqi Journal of Science Vol. 59, no. 3B (2018), pp.1538-1547.
https://search.emarefa.net/detail/BIM-875841

American Medical Association (AMA)

Abbas, Hibah Khudayr& Mahdi, Anwar Hasan& al-Zaki, Ali Abd Dawud& Ahmad, Sali Fawzi. Analytical study of medical image combination techniques. Iraqi Journal of Science. 2018. Vol. 59, no. 3B, pp.1538-1547.
https://search.emarefa.net/detail/BIM-875841

Data Type

Journal Articles

Language

English

Notes

Text in English ; abstracts in English and Arabic.

Record ID

BIM-875841