Model-based automatic segmentation of ascending aorta from multimodality medical data

Noha A. Seada; Safwat Hamad; Mostafa G.M. Mostafa

doi:10.11591/ijece.v6i6.12598

Model-based automatic segmentation of ascending aorta from multimodality medical data

Noha A. Seada
, Safwat Hamad
, Mostafa G.M. Mostafa

Faculty of Computer and Information Sciences
Sciencitifc Computing and Computer Science Departments

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	3161-3173
Number of pages	13
Journal	International Journal of Electrical and Computer Engineering
Volume	6
Issue number	6
DOIs	https://doi.org/10.11591/ijece.v6i6.12598
State	Published - 2016
Externally published	Yes

ASJC Scopus Subject Areas

General Computer Science
Electrical and Electronic Engineering

Keywords

Angiography (CTA)
Ascending aorta segmentation
Automatic segmentation
Computed tomography
Phase-contrast magnetic Resonance images (PC-MRI) Seeded region growing

Access to Document

10.11591/ijece.v6i6.12598

Cite this

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title = "Model-based automatic segmentation of ascending aorta from multimodality medical data",

keywords = "Angiography (CTA), Ascending aorta segmentation, Automatic segmentation, Computed tomography, Phase-contrast magnetic Resonance images (PC-MRI) Seeded region growing",

author = "Seada, \{Noha A.\} and Safwat Hamad and Mostafa, \{Mostafa G.M.\}",

year = "2016",

doi = "10.11591/ijece.v6i6.12598",

language = "English",

volume = "6",

pages = "3161--3173",

journal = "International Journal of Electrical and Computer Engineering",

issn = "2088-8708",

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T1 - Model-based automatic segmentation of ascending aorta from multimodality medical data

AU - Seada, Noha A.

AU - Hamad, Safwat

AU - Mostafa, Mostafa G.M.

PY - 2016

Y1 - 2016

KW - Angiography (CTA)

KW - Ascending aorta segmentation

KW - Automatic segmentation

KW - Computed tomography

KW - Phase-contrast magnetic Resonance images (PC-MRI) Seeded region growing

UR - https://www.scopus.com/pages/publications/85012031725

UR - https://www.scopus.com/pages/publications/85012031725#tab=citedBy

U2 - 10.11591/ijece.v6i6.12598

DO - 10.11591/ijece.v6i6.12598

M3 - Article

AN - SCOPUS:85012031725

SN - 2088-8708

VL - 6

SP - 3161

EP - 3173

JO - International Journal of Electrical and Computer Engineering

JF - International Journal of Electrical and Computer Engineering

IS - 6

ER -

Model-based automatic segmentation of ascending aorta from multimodality medical data

ASJC Scopus Subject Areas

Keywords

Access to Document

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