ARMA analysis of chest x-rays for computer assisted detection of tuberculosis

Megan Jill Russell; Andre Nel; Tshilidzi Marwala

doi:10.1007/978-3-642-29305-4_235

ARMA analysis of chest x-rays for computer assisted detection of tuberculosis

Megan Jill Russell
, Andre Nel
, Tshilidzi Marwala

Faculty of Engineering and the Built Environment

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Computer Assisted Detection (CAD) is an important tool for use in areas where there is a shortage of skilled x-ray readers. South Africa is currently experiencing a Tuberculosis (TB) epidemic and does not have enough skilled x-ray readers to effectively assess all of the screening TB lung x-rays, especially in the mining sector. Thus, this work is intended to form part of a CAD TB system being developed by the University of Johannesburg, South Africa. Autoregressive-Moving-Average (ARMA) is a technique for mathematically modeling a system. It has been used very effectively on ultrasound images (combined with k-means clustering) but has not been applied to x-ray images before.

Original language	English
Title of host publication	World Congress on Medical Physics and Biomedical Engineering
Pages	896-899
Number of pages	4
DOIs	https://doi.org/10.1007/978-3-642-29305-4_235
Publication status	Published - 2013
Event	World Congress on Medical Physics and Biomedical Engineering - Beijing, China Duration: 26 May 2012 → 31 May 2012

Publication series

Name	IFMBE Proceedings
Volume	39 IFMBE
ISSN (Print)	1680-0737

Conference

Conference	World Congress on Medical Physics and Biomedical Engineering
Country/Territory	China
City	Beijing
Period	26/05/12 → 31/05/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Autoregressive-Moving-Average
Computer Assisted Detection
Tuberculosis
x-ray

ASJC Scopus subject areas

Bioengineering
Biomedical Engineering

Access to Document

10.1007/978-3-642-29305-4_235

Cite this

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title = "ARMA analysis of chest x-rays for computer assisted detection of tuberculosis",

abstract = "Computer Assisted Detection (CAD) is an important tool for use in areas where there is a shortage of skilled x-ray readers. South Africa is currently experiencing a Tuberculosis (TB) epidemic and does not have enough skilled x-ray readers to effectively assess all of the screening TB lung x-rays, especially in the mining sector. Thus, this work is intended to form part of a CAD TB system being developed by the University of Johannesburg, South Africa. Autoregressive-Moving-Average (ARMA) is a technique for mathematically modeling a system. It has been used very effectively on ultrasound images (combined with k-means clustering) but has not been applied to x-ray images before.",

keywords = "Autoregressive-Moving-Average, Computer Assisted Detection, Tuberculosis, x-ray",

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T1 - ARMA analysis of chest x-rays for computer assisted detection of tuberculosis

AU - Russell, Megan Jill

AU - Nel, Andre

AU - Marwala, Tshilidzi

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N2 - Computer Assisted Detection (CAD) is an important tool for use in areas where there is a shortage of skilled x-ray readers. South Africa is currently experiencing a Tuberculosis (TB) epidemic and does not have enough skilled x-ray readers to effectively assess all of the screening TB lung x-rays, especially in the mining sector. Thus, this work is intended to form part of a CAD TB system being developed by the University of Johannesburg, South Africa. Autoregressive-Moving-Average (ARMA) is a technique for mathematically modeling a system. It has been used very effectively on ultrasound images (combined with k-means clustering) but has not been applied to x-ray images before.

AB - Computer Assisted Detection (CAD) is an important tool for use in areas where there is a shortage of skilled x-ray readers. South Africa is currently experiencing a Tuberculosis (TB) epidemic and does not have enough skilled x-ray readers to effectively assess all of the screening TB lung x-rays, especially in the mining sector. Thus, this work is intended to form part of a CAD TB system being developed by the University of Johannesburg, South Africa. Autoregressive-Moving-Average (ARMA) is a technique for mathematically modeling a system. It has been used very effectively on ultrasound images (combined with k-means clustering) but has not been applied to x-ray images before.

KW - Autoregressive-Moving-Average

KW - Computer Assisted Detection

KW - Tuberculosis

KW - x-ray

UR - https://www.scopus.com/pages/publications/84876060578

U2 - 10.1007/978-3-642-29305-4_235

DO - 10.1007/978-3-642-29305-4_235

M3 - Conference contribution

AN - SCOPUS:84876060578

SN - 9783642293047

T3 - IFMBE Proceedings

SP - 896

EP - 899

BT - World Congress on Medical Physics and Biomedical Engineering

T2 - World Congress on Medical Physics and Biomedical Engineering

Y2 - 26 May 2012 through 31 May 2012

ER -

ARMA analysis of chest x-rays for computer assisted detection of tuberculosis

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this