Brain image analysis: A survey

Mussarat Yasmin, Sajjad Mohsin, Muhammad Sharif*, Mudassar Raza, Saleha Masood

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Image analysis is generally a process where digital image processing is utilized to process digital images in order to extract significant statistics or information from the images. The analysis process enables to analyze and visualize medical images of numerous modalities. The paper is basically an overview and discussion of the methods and techniques being proposed and developed in regard of brain image analysis. An image is basically analyzed from the perspective of its segmentation, edge detection, registration and morphology or motion analysis. Here in this paper different brain image types i.e., MRI, CT, PET, EEG/MEG are discussed and presented from the point of operations mentioned above. Each method is discussed and analyzed through its applications, advantages, limitations and results.

Original languageEnglish
Pages (from-to)1484-1494
Number of pages11
JournalWorld Applied Sciences Journal
Volume19
Issue number10
DOIs
StatePublished - 2012
Externally publishedYes

Keywords

  • Brain
  • Edge detection
  • MRI
  • Segmentation
  • Survey

ASJC Scopus subject areas

  • General

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