Semi-automated spine and intervertebral disk detection and segmentation from whole spine MR images

Intervertebral disks are found between the vertebrae in the spine from the second cervical vertebra to the sacrum. Intervertebral disks permit various movements of the vertebral column to keep it flexible and to absorb vertical shock. The spine can be exposed to several types of compression forces t...

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Autores principales:	Alaa Badarneh, Isam Abu-Qasmeih, Mwaffaq Otoom, Mohammad A. Alzubaidi
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	T2-weighted MR image Intervertebral disk Polynomial IRHT Whole spine Detection Segmentation Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/0f2ea9475aab42eea4e08f95815d5363
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id	oai:doaj.org-article:0f2ea9475aab42eea4e08f95815d5363
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spelling	oai:doaj.org-article:0f2ea9475aab42eea4e08f95815d53632021-12-04T04:35:21ZSemi-automated spine and intervertebral disk detection and segmentation from whole spine MR images2352-914810.1016/j.imu.2021.100810https://doaj.org/article/0f2ea9475aab42eea4e08f95815d53632021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352914821002768https://doaj.org/toc/2352-9148Intervertebral disks are found between the vertebrae in the spine from the second cervical vertebra to the sacrum. Intervertebral disks permit various movements of the vertebral column to keep it flexible and to absorb vertical shock. The spine can be exposed to several types of compression forces that can adversely affect disk function and cause diseases or disorders, such as herniated disks. Mainly to diagnose these disorders we use Magnetic Resonance Imaging (MRI), since it's the preferred method for extracting the spinal information needed. In this paper, a Computer Aided Diagnosis (CAD) system for intervertebral disk detection and segmentation, using sagittal MR images of the whole spine has been proposed. The system consists of three major steps as follows: spine region extraction, intervertebral disk detection, and intervertebral disk segmentation. A 6th order polynomial Iterative Randomized Hough Transform (IRHT) approach is used to segment the spine sub-image from a whole spine T1/T2-weighted MR image in a relatively short time. Finally, an elliptical Hough Transform (HT) is used to detect the intervertebral disks from the segmented spine image. The proposed system used a whole spine images dataset consisting of 31 spine T1/T2 MR images. The accuracy measures of intervertebral disk detection and disk segmentation are 94.65% and 90%, respectively. The results show that the proposed system is robust and accurate for spine segmentation and intervertebral disks detection with high performance. Finally, the proposed system is a useful tool for radiologists in detecting as well as segmenting intervertebral disk in whole spine MR images.Alaa BadarnehIsam Abu-QasmeihMwaffaq OtoomMohammad A. AlzubaidiElsevierarticleT2-weighted MR imageIntervertebral diskPolynomial IRHTWhole spineDetectionSegmentationComputer applications to medicine. Medical informaticsR858-859.7ENInformatics in Medicine Unlocked, Vol 27, Iss , Pp 100810- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	T2-weighted MR image Intervertebral disk Polynomial IRHT Whole spine Detection Segmentation Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	T2-weighted MR image Intervertebral disk Polynomial IRHT Whole spine Detection Segmentation Computer applications to medicine. Medical informatics R858-859.7 Alaa Badarneh Isam Abu-Qasmeih Mwaffaq Otoom Mohammad A. Alzubaidi Semi-automated spine and intervertebral disk detection and segmentation from whole spine MR images
description	Intervertebral disks are found between the vertebrae in the spine from the second cervical vertebra to the sacrum. Intervertebral disks permit various movements of the vertebral column to keep it flexible and to absorb vertical shock. The spine can be exposed to several types of compression forces that can adversely affect disk function and cause diseases or disorders, such as herniated disks. Mainly to diagnose these disorders we use Magnetic Resonance Imaging (MRI), since it's the preferred method for extracting the spinal information needed. In this paper, a Computer Aided Diagnosis (CAD) system for intervertebral disk detection and segmentation, using sagittal MR images of the whole spine has been proposed. The system consists of three major steps as follows: spine region extraction, intervertebral disk detection, and intervertebral disk segmentation. A 6th order polynomial Iterative Randomized Hough Transform (IRHT) approach is used to segment the spine sub-image from a whole spine T1/T2-weighted MR image in a relatively short time. Finally, an elliptical Hough Transform (HT) is used to detect the intervertebral disks from the segmented spine image. The proposed system used a whole spine images dataset consisting of 31 spine T1/T2 MR images. The accuracy measures of intervertebral disk detection and disk segmentation are 94.65% and 90%, respectively. The results show that the proposed system is robust and accurate for spine segmentation and intervertebral disks detection with high performance. Finally, the proposed system is a useful tool for radiologists in detecting as well as segmenting intervertebral disk in whole spine MR images.
format	article
author	Alaa Badarneh Isam Abu-Qasmeih Mwaffaq Otoom Mohammad A. Alzubaidi
author_facet	Alaa Badarneh Isam Abu-Qasmeih Mwaffaq Otoom Mohammad A. Alzubaidi
author_sort	Alaa Badarneh
title	Semi-automated spine and intervertebral disk detection and segmentation from whole spine MR images
title_short	Semi-automated spine and intervertebral disk detection and segmentation from whole spine MR images
title_full	Semi-automated spine and intervertebral disk detection and segmentation from whole spine MR images
title_fullStr	Semi-automated spine and intervertebral disk detection and segmentation from whole spine MR images
title_full_unstemmed	Semi-automated spine and intervertebral disk detection and segmentation from whole spine MR images
title_sort	semi-automated spine and intervertebral disk detection and segmentation from whole spine mr images
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/0f2ea9475aab42eea4e08f95815d5363
work_keys_str_mv	AT alaabadarneh semiautomatedspineandintervertebraldiskdetectionandsegmentationfromwholespinemrimages AT isamabuqasmeih semiautomatedspineandintervertebraldiskdetectionandsegmentationfromwholespinemrimages AT mwaffaqotoom semiautomatedspineandintervertebraldiskdetectionandsegmentationfromwholespinemrimages AT mohammadaalzubaidi semiautomatedspineandintervertebraldiskdetectionandsegmentationfromwholespinemrimages
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Semi-automated spine and intervertebral disk detection and segmentation from whole spine MR images

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