LOCALIZATION OF HIPPOCAMPUS IN HUMAN BRAIN MRI USING AN EXPERT SYSTEM

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.

SIADAT M.R.; SOLTANIANZADEH H.

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

Journal Paper

Paper Information

Journal: Year:2000 | Volume:34 | Issue:1 (67) Page(s): 9-24

Download Full-Text

Persian Verion

View:

869

Download:

Cites:

Information Journal Paper

Title

LOCALIZATION OF HIPPOCAMPUS IN HUMAN BRAIN MRI USING AN EXPERT SYSTEM

Author(s)

SIADAT M.R. | SOLTANIANZADEH H. | Issue Writer Certificate

Keywords

Not Registered.

Abstract

Hippocampus is an important structure of the human brain limbic system. The variations in the volume and architecture of this structure have been related to certain neurological diseases. Accurate and reproducible volumetry of hippocampus from MRI is required for diagnosis and treatment of patients. This can be done using the following three steps: 1) determining hippocampus approximate location 2) determining its accurate boundaries and 3) calculating its volume. This paper presents an automated method for the first step. The proposed approach employs a search-based vision for information extraction from MRI and an expert system for information analysis. In the development of the expert system a shell of expert systems named VPEXPERT is used. Information analysis is done using rules. that are based on anatomy and symmetry of the human brain. Results show that the proposed approach is promising for object localization from complex medical images. The approach has been applied to 128 images from 6 patients. In these studies, all of the images without hippocampus were correctly identified. In addition, in 58.3% of the images containing hippocampus, the structure was properly localized. has been applied to 128 images from 6 patients. In these studies, all of the images without hippocampus were correctly identified. In addition, in 58.3% of the images containing hippocampus, the structure was properly localized.

Cites

No record.

References

No record.

Cite

APA: Copy

SIADAT, M.R., & SOLTANIANZADEH, H.. (2000). LOCALIZATION OF HIPPOCAMPUS IN HUMAN BRAIN MRI USING AN EXPERT SYSTEM. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), 34(1 (67)), 9-24. SID. https://sid.ir/paper/382040/en

Vancouver: Copy

SIADAT M.R., SOLTANIANZADEH H.. LOCALIZATION OF HIPPOCAMPUS IN HUMAN BRAIN MRI USING AN EXPERT SYSTEM. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN)[Internet]. 2000;34(1 (67)):9-24. Available from: https://sid.ir/paper/382040/en

IEEE: Copy

M.R. SIADAT, and H. SOLTANIANZADEH, “LOCALIZATION OF HIPPOCAMPUS IN HUMAN BRAIN MRI USING AN EXPERT SYSTEM,” JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), vol. 34, no. 1 (67), pp. 9–24, 2000, [Online]. Available: https://sid.ir/paper/382040/en

Related Journal Papers