Improving Magnetic Resonance Imaging Standardization of Human Brain using Several Statistical Methods-based Data

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Ansari Saad Abad A.; Makouei Somayeh

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCED SIGNAL PROCESSING Year:2020 | Volume:3 | Issue:2 (4) Page(s): 119-124

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

114

Download:

Cites:

Information Journal Paper

Title

Improving Magnetic Resonance Imaging Standardization of Human Brain using Several Statistical Methods-based Data

Author(s)

Ansari Saad Abad A. | Makouei Somayeh | Issue Writer Certificate

Keywords

Magnetic Resonance Imaging

Brain zoning

Statistical concepts-based methods

Abstract

In this paper, standardization of human brain MRI images is performed by applying several statistical methods The goal will be more clearly displayed after the standardization phase by removing the blurry and black noise spots, the border of the tumor areas and the different parts of the brain and cerebral fluid, which can be divided into three sections: white, gray and cerebral fluid. When a standard protocol is available, hybridization-based standardization and segmentation methods are one of the most appropriate tools for medical image segmentation. This method, despite its high accuracy, is time consuming and lengthy due to the high volume of computing. Methods based on statistical concepts are fashion, median, and mean, respectively, which are simple and explicit processing to apply to existing data from human brain MRI images. Boundary, decimal, and percentile methods are also used with simple concepts to extract milestones from existing data. To evaluate the performance of this paper, the scheme is first systematically simulated in MATLAB software, and then, for the area of comparison and comparison with the pre-standardization images, a software term Uvneti 8 was used to extract the gray layer. The results of the processing of this paper are visualized from standard images and statistical analysis of error and coefficient of variation are obtained and finally the most efficient method is extracted.

Cites

No record.

References

No record.

Cite

APA: Copy

Ansari Saad Abad, A., & Makouei, Somayeh. (2020). Improving Magnetic Resonance Imaging Standardization of Human Brain using Several Statistical Methods-based Data. JOURNAL OF ADVANCED SIGNAL PROCESSING, 3(2 (4) ), 119-124. SID. https://sid.ir/paper/957344/en

Vancouver: Copy

Ansari Saad Abad A., Makouei Somayeh. Improving Magnetic Resonance Imaging Standardization of Human Brain using Several Statistical Methods-based Data. JOURNAL OF ADVANCED SIGNAL PROCESSING[Internet]. 2020;3(2 (4) ):119-124. Available from: https://sid.ir/paper/957344/en

IEEE: Copy

A. Ansari Saad Abad, and Somayeh Makouei, “Improving Magnetic Resonance Imaging Standardization of Human Brain using Several Statistical Methods-based Data,” JOURNAL OF ADVANCED SIGNAL PROCESSING, vol. 3, no. 2 (4) , pp. 119–124, 2020, [Online]. Available: https://sid.ir/paper/957344/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops