TY - GEN
T1 - Computer-aided diagnosis of lumbar disc herniation
AU - Alawneh, Khaled
AU - Al-Dwiekat, Mays
AU - Alsmirat, Mohammad
AU - Al-Ayyoub, Mahmoud
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/5/6
Y1 - 2015/5/6
N2 - Computer-aided diagnosis systems have been the focus of many research endeavors. They are based on the idea of processing and analyzing various types of input (such as patients medical history, physical examination results, images of different parts of the human body, etc.) to generate a quick and accurate diagnosis. In this work, we propose a system that follows the aforementioned approach to diagnose lumbar disk herniation from a top-down Magnetic Resonance Imaging (MRI) spine view of the suspected region. To the best of our knowledge, this is the first work to consider this type of images for the diagnosis of lumbar disk herniation. The proposed system consists of several stages that include image acquisition and annotation, Region Of Interest (ROI) extraction and enhancement, feature extraction, and classification. The experiments conducted to evaluate the system show that the system is quick and accurate making it a great aid in the diagnosis process as well as an invaluable platform for educational and research purposes.
AB - Computer-aided diagnosis systems have been the focus of many research endeavors. They are based on the idea of processing and analyzing various types of input (such as patients medical history, physical examination results, images of different parts of the human body, etc.) to generate a quick and accurate diagnosis. In this work, we propose a system that follows the aforementioned approach to diagnose lumbar disk herniation from a top-down Magnetic Resonance Imaging (MRI) spine view of the suspected region. To the best of our knowledge, this is the first work to consider this type of images for the diagnosis of lumbar disk herniation. The proposed system consists of several stages that include image acquisition and annotation, Region Of Interest (ROI) extraction and enhancement, feature extraction, and classification. The experiments conducted to evaluate the system show that the system is quick and accurate making it a great aid in the diagnosis process as well as an invaluable platform for educational and research purposes.
KW - Classification
KW - Computer-aided diagnosis
KW - Feature extraction
KW - Lumbar disc herniation
KW - ROI enhancement
KW - ROI extraction
KW - Top-down MRI spine view
UR - https://www.scopus.com/pages/publications/84933544671
U2 - 10.1109/IACS.2015.7103190
DO - 10.1109/IACS.2015.7103190
M3 - Conference contribution
AN - SCOPUS:84933544671
T3 - 2015 6th International Conference on Information and Communication Systems, ICICS 2015
SP - 286
EP - 291
BT - 2015 6th International Conference on Information and Communication Systems, ICICS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Information and Communication Systems, ICICS 2015
Y2 - 7 April 2015 through 9 April 2015
ER -