Effective determination of brain aneurysm by using spatial filtering in MRI and CT images / Nur Ezrenda Ahmad …[et al.]

Ahmad, Nur Ezrenda and Rusli, Nur Syahfinaz Hidayah and Othman, Nor Ainina Effective determination of brain aneurysm by using spatial filtering in MRI and CT images / Nur Ezrenda Ahmad …[et al.]. pp. 1-14.

Abstract

Noise can be defines as random dissimilarities of image intensity and appear grainy on the image. It arises on the image due to photon nature or thermal heat effect inside image sensor. Noise usually occurs during image capturing or image transmission. Apart from that, noise consists of number of pixels that have different intensity values rather than true pixel values causing image degradation. Notwithstanding, the application of image processing algorithm aid in reduce noise from the images at highest value. The specific type of noise removal algorithm belongs to the specific type of noise appears on the image. The most common location of aneurysm located at Circle of Willis which is a junction between two carotid and two vertebral arteries. This junction can be developed into a weak spot thus produces outpouching of blood vessels filled with blood. These pouches can leak or rupture and spill blood into surrounding brain tissue.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Ahmad, Nur Ezrenda
UNSPECIFIED
Rusli, Nur Syahfinaz Hidayah
UNSPECIFIED
Othman, Nor Ainina
UNSPECIFIED
Subjects: R Medicine > R Medicine (General)
Divisions: Universiti Teknologi MARA, Selangor > Puncak Alam Campus > Faculty of Health Sciences
Page Range: pp. 1-14
Keywords: Brain aneurysm, noise, low contrast, average filter, median filter, adaptive filter, histogram stretching, histogram equalization, histogram adjustment
URI: https://ir.uitm.edu.my/id/eprint/110053
Edit Item
Edit Item

Download

[thumbnail of 110053.pdf] Text
110053.pdf

Download (666kB)

ID Number

110053

Indexing

Statistic

Statistic details