SIFT based ROI extraction for lumbar disk herniation CAD system from MRI axial scans

Mahmoud Al-Ayyoub; Nusaiba Al-Mnayyis; Mohammad A. Alsmirat; Khaled Alawneh; Yaser Jararweh; Brij B. Gupta

doi:10.1007/s12652-018-0750-2

SIFT based ROI extraction for lumbar disk herniation CAD system from MRI axial scans

Mahmoud Al-Ayyoub
, Nusaiba Al-Mnayyis
, Mohammad A. Alsmirat
, Khaled Alawneh
, Yaser Jararweh
, Brij B. Gupta

Jordan University of Science and Technology
National Institute of Technology Kurukshetra

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

19 Scopus citations

Abstract

Computer-aided diagnosis (CAD) systems have been the focus of many research endeavors. We consider the problem of building a CAD system for diagnosing lumbar disk herniation from MRI axial scans. Like other typical image based CAD systems, the CAD system we consider consists of several stages: image acquisition, region of interest (ROI) extraction and enhancement, feature extraction, and classification. Experimentally, we found that the ROI extraction is the hardest stage and it greatly determines the accuracy of the CAD system. In this work, we enhance on the ROI extraction process by using SIFT features, which are well known for their use in matching objects. The experiments conducted to evaluate the SIFT based ROI extraction approach shows its superiority over existing heuristic approach.

Original language	English
Pages (from-to)	1-9
Number of pages	9
Journal	Journal of Ambient Intelligence and Humanized Computing
DOIs	https://doi.org/10.1007/s12652-018-0750-2
State	Accepted/In press - 15 Mar 2018
Externally published	Yes

Keywords

Axial MRI spine view
Computer-aided diagnosis
Feature extraction
Lumbar disk herniation
ROI extraction
SIFT

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10.1007/s12652-018-0750-2

Cite this

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title = "SIFT based ROI extraction for lumbar disk herniation CAD system from MRI axial scans",

abstract = "Computer-aided diagnosis (CAD) systems have been the focus of many research endeavors. We consider the problem of building a CAD system for diagnosing lumbar disk herniation from MRI axial scans. Like other typical image based CAD systems, the CAD system we consider consists of several stages: image acquisition, region of interest (ROI) extraction and enhancement, feature extraction, and classification. Experimentally, we found that the ROI extraction is the hardest stage and it greatly determines the accuracy of the CAD system. In this work, we enhance on the ROI extraction process by using SIFT features, which are well known for their use in matching objects. The experiments conducted to evaluate the SIFT based ROI extraction approach shows its superiority over existing heuristic approach.",

keywords = "Axial MRI spine view, Computer-aided diagnosis, Feature extraction, Lumbar disk herniation, ROI extraction, SIFT",

author = "Mahmoud Al-Ayyoub and Nusaiba Al-Mnayyis and Alsmirat, \{Mohammad A.\} and Khaled Alawneh and Yaser Jararweh and Gupta, \{Brij B.\}",

note = "Publisher Copyright: {\textcopyright} 2018 Springer-Verlag GmbH Germany, part of Springer Nature",

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doi = "10.1007/s12652-018-0750-2",

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AU - Al-Ayyoub, Mahmoud

AU - Al-Mnayyis, Nusaiba

AU - Alsmirat, Mohammad A.

AU - Alawneh, Khaled

AU - Jararweh, Yaser

AU - Gupta, Brij B.

PY - 2018/3/15

Y1 - 2018/3/15

N2 - Computer-aided diagnosis (CAD) systems have been the focus of many research endeavors. We consider the problem of building a CAD system for diagnosing lumbar disk herniation from MRI axial scans. Like other typical image based CAD systems, the CAD system we consider consists of several stages: image acquisition, region of interest (ROI) extraction and enhancement, feature extraction, and classification. Experimentally, we found that the ROI extraction is the hardest stage and it greatly determines the accuracy of the CAD system. In this work, we enhance on the ROI extraction process by using SIFT features, which are well known for their use in matching objects. The experiments conducted to evaluate the SIFT based ROI extraction approach shows its superiority over existing heuristic approach.

AB - Computer-aided diagnosis (CAD) systems have been the focus of many research endeavors. We consider the problem of building a CAD system for diagnosing lumbar disk herniation from MRI axial scans. Like other typical image based CAD systems, the CAD system we consider consists of several stages: image acquisition, region of interest (ROI) extraction and enhancement, feature extraction, and classification. Experimentally, we found that the ROI extraction is the hardest stage and it greatly determines the accuracy of the CAD system. In this work, we enhance on the ROI extraction process by using SIFT features, which are well known for their use in matching objects. The experiments conducted to evaluate the SIFT based ROI extraction approach shows its superiority over existing heuristic approach.

KW - Axial MRI spine view

KW - Computer-aided diagnosis

KW - Feature extraction

KW - Lumbar disk herniation

KW - ROI extraction

KW - SIFT

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ER -

SIFT based ROI extraction for lumbar disk herniation CAD system from MRI axial scans

Abstract

Keywords

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