The Experts below are selected from a list of 282 Experts worldwide ranked by ideXlab platform
Raja S Alomari - One of the best experts on this subject based on the ideXlab platform.
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compression Fracture Diagnosis in lumbar a clinical cad system
Computer Assisted Radiology and Surgery, 2013Co-Authors: Samah Alhelo, Subarna Ghosh, Raja S Alomari, Vipin Chaudhary, Gurmeet Dhillon, Mohd Belal Alzoubi, Hazem Hiary, Thair HamtiniAbstract:Purpose Lower back pain affects 80–90 % of all people at some point during their life time, and it is considered as the second most neurological ailment after headache. It is caused by defects in the discs, vertebrae, or the soft tissues. Radiologists perform Diagnosis mainly from X-ray radiographs, MRI, or CT depending on the target organ. Vertebra Fracture is usually diagnosed from X-ray radiographs or CT depending on the available technology. In this paper, we propose a fully automated Computer-Aided Diagnosis System (CAD) for the Diagnosis of vertebra wedge compression Fracture from CT images that integrates within the clinical routine.
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automatic lumbar vertebra segmentation from clinical ct for wedge compression Fracture Diagnosis
Proceedings of SPIE, 2011Co-Authors: Subarna Ghosh, Raja S Alomari, Vipin Chaudhary, Gurmeet DhillonAbstract:Lumbar vertebral Fractures vary greatly in types and causes and usually result from severe trauma or pathological conditions such as osteoporosis. Lumbar wedge compression Fractures are amongst the most common ones where the vertebra is severely compressed forming a wedge shape and causing pain and pressure on the nerve roots and the spine. Since vertebral segmentation is the first step in any automated Diagnosis task, we present a fully automated method for robustly localizing and segmenting the vertebrae for preparation of vertebral Fracture Diagnosis. Our segmentation method consists of five main steps towards the CAD(Computer-Aided Diagnosis) system: 1) Localization of the intervertebral discs. 2) Localization of the vertebral skeleton. 3) Segmentation of the individual vertebra. 4) Detection of the vertebrae center line and 5) Detection of the vertebrae major boundary points. Our segmentation results are promising with an average error of 1.5mm (modified Hausdorff distance metric) on 50 clinical CT cases i.e. a total of 250 lumbar vertebrae. We also present promising preliminary results for automatic wedge compression Fracture Diagnosis on 15 cases, 7 of which have one or more vertebral compression Fracture, and obtain an accuracy of 97.33%.
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Medical Imaging: Computer-Aided Diagnosis - Automatic lumbar vertebra segmentation from clinical CT for wedge compression Fracture Diagnosis
Proceedings of SPIE, 2011Co-Authors: Subarna Ghosh, Raja S Alomari, Vipin Chaudhary, Gurmeet DhillonAbstract:Lumbar vertebral Fractures vary greatly in types and causes and usually result from severe trauma or pathological conditions such as osteoporosis. Lumbar wedge compression Fractures are amongst the most common ones where the vertebra is severely compressed forming a wedge shape and causing pain and pressure on the nerve roots and the spine. Since vertebral segmentation is the first step in any automated Diagnosis task, we present a fully automated method for robustly localizing and segmenting the vertebrae for preparation of vertebral Fracture Diagnosis. Our segmentation method consists of five main steps towards the CAD(Computer-Aided Diagnosis) system: 1) Localization of the intervertebral discs. 2) Localization of the vertebral skeleton. 3) Segmentation of the individual vertebra. 4) Detection of the vertebrae center line and 5) Detection of the vertebrae major boundary points. Our segmentation results are promising with an average error of 1.5mm (modified Hausdorff distance metric) on 50 clinical CT cases i.e. a total of 250 lumbar vertebrae. We also present promising preliminary results for automatic wedge compression Fracture Diagnosis on 15 cases, 7 of which have one or more vertebral compression Fracture, and obtain an accuracy of 97.33%.
Ernesto Castillo - One of the best experts on this subject based on the ideXlab platform.
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Impact of magnetic resonance imaging on decision making for thoracolumbar traumatic Fracture Diagnosis and treatment.
European spine journal : official publication of the European Spine Society the European Spinal Deformity Society and the European Section of the Cerv, 2011Co-Authors: Javier Pizones, Enrique Izquierdo, Patricia Alvarez, Felisa Sánchez-mariscal, Lorenzo Zúñiga, Paloma Chimeno, Ester Benza, Ernesto CastilloAbstract:The role of magnetic resonance imaging (MRI) has recently been enhanced in the Diagnosis of thoracolumbar Fractures due to its ability to examine soft tissue injury. We conducted a prospective study to analyze the usefulness of MRI in Fracture Diagnosis and its influence on treatment decision making. Thirty-three patients were enrolled after suffering an acute traumatic thoracolumbar Fracture. Osteoporotic or pathologic Fractures were excluded. Fractures were initially classified using X-ray and CT scan following the AO classification. Afterward, a selective MRI protocol was performed with T1 and T2-weighted FS/STIR sequences. Subsequently, Fractures were classified according to the TLICS system and reclassified following the AO system. Analysis was performed before and after MRI, focusing on: diagnostic changes, occult Fractures and differences in treatment decision making. Thirty patients (15 males, 15 females) with an average age of 39.9 years were studied. Forty-one Fractures were initially diagnosed using plain X-rays and CT scans, while MRI diagnosed 50 Fractures and 9 vertebral contusions. MRI modified our Diagnosis in 40% of our patients (discovering 18 occult injuries), the classification of Fracture pattern in 24% of the Fractures (mostly upgrading type A to type B patterns) and the therapeutic management in 16% of our patients. MRI seems to be a useful tool in the evaluation of thoracolumbar acute Fractures, as it allows a better visualization of the posterior complex integrity and of the levels involved, offering additional information compared to traditional diagnostic tools.
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impact of magnetic resonance imaging on decision making for thoracolumbar traumatic Fracture Diagnosis and treatment
European Spine Journal, 2011Co-Authors: Javier Pizones, Enrique Izquierdo, Patricia Alvarez, Lorenzo Zúñiga, Paloma Chimeno, Ester Benza, Felisa Sanchezmariscal, Ernesto CastilloAbstract:Introduction The role of magnetic resonance imaging (MRI) has recently been enhanced in the Diagnosis of thoracolumbar Fractures due to its ability to examine soft tissue injury.
Gurmeet Dhillon - One of the best experts on this subject based on the ideXlab platform.
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compression Fracture Diagnosis in lumbar a clinical cad system
Computer Assisted Radiology and Surgery, 2013Co-Authors: Samah Alhelo, Subarna Ghosh, Raja S Alomari, Vipin Chaudhary, Gurmeet Dhillon, Mohd Belal Alzoubi, Hazem Hiary, Thair HamtiniAbstract:Purpose Lower back pain affects 80–90 % of all people at some point during their life time, and it is considered as the second most neurological ailment after headache. It is caused by defects in the discs, vertebrae, or the soft tissues. Radiologists perform Diagnosis mainly from X-ray radiographs, MRI, or CT depending on the target organ. Vertebra Fracture is usually diagnosed from X-ray radiographs or CT depending on the available technology. In this paper, we propose a fully automated Computer-Aided Diagnosis System (CAD) for the Diagnosis of vertebra wedge compression Fracture from CT images that integrates within the clinical routine.
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automatic lumbar vertebra segmentation from clinical ct for wedge compression Fracture Diagnosis
Proceedings of SPIE, 2011Co-Authors: Subarna Ghosh, Raja S Alomari, Vipin Chaudhary, Gurmeet DhillonAbstract:Lumbar vertebral Fractures vary greatly in types and causes and usually result from severe trauma or pathological conditions such as osteoporosis. Lumbar wedge compression Fractures are amongst the most common ones where the vertebra is severely compressed forming a wedge shape and causing pain and pressure on the nerve roots and the spine. Since vertebral segmentation is the first step in any automated Diagnosis task, we present a fully automated method for robustly localizing and segmenting the vertebrae for preparation of vertebral Fracture Diagnosis. Our segmentation method consists of five main steps towards the CAD(Computer-Aided Diagnosis) system: 1) Localization of the intervertebral discs. 2) Localization of the vertebral skeleton. 3) Segmentation of the individual vertebra. 4) Detection of the vertebrae center line and 5) Detection of the vertebrae major boundary points. Our segmentation results are promising with an average error of 1.5mm (modified Hausdorff distance metric) on 50 clinical CT cases i.e. a total of 250 lumbar vertebrae. We also present promising preliminary results for automatic wedge compression Fracture Diagnosis on 15 cases, 7 of which have one or more vertebral compression Fracture, and obtain an accuracy of 97.33%.
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Medical Imaging: Computer-Aided Diagnosis - Automatic lumbar vertebra segmentation from clinical CT for wedge compression Fracture Diagnosis
Proceedings of SPIE, 2011Co-Authors: Subarna Ghosh, Raja S Alomari, Vipin Chaudhary, Gurmeet DhillonAbstract:Lumbar vertebral Fractures vary greatly in types and causes and usually result from severe trauma or pathological conditions such as osteoporosis. Lumbar wedge compression Fractures are amongst the most common ones where the vertebra is severely compressed forming a wedge shape and causing pain and pressure on the nerve roots and the spine. Since vertebral segmentation is the first step in any automated Diagnosis task, we present a fully automated method for robustly localizing and segmenting the vertebrae for preparation of vertebral Fracture Diagnosis. Our segmentation method consists of five main steps towards the CAD(Computer-Aided Diagnosis) system: 1) Localization of the intervertebral discs. 2) Localization of the vertebral skeleton. 3) Segmentation of the individual vertebra. 4) Detection of the vertebrae center line and 5) Detection of the vertebrae major boundary points. Our segmentation results are promising with an average error of 1.5mm (modified Hausdorff distance metric) on 50 clinical CT cases i.e. a total of 250 lumbar vertebrae. We also present promising preliminary results for automatic wedge compression Fracture Diagnosis on 15 cases, 7 of which have one or more vertebral compression Fracture, and obtain an accuracy of 97.33%.
A A Edidin - One of the best experts on this subject based on the ideXlab platform.
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mortality following the Diagnosis of a vertebral compression Fracture in the medicare population
Journal of Bone and Joint Surgery American Volume, 2008Co-Authors: Steven M Kurtz, Jordana K Schmier, A A EdidinAbstract:Background: Vertebral compression Fractures in women are associated with increased mortality, but the generality of this finding, as a function of age, sex, ethnicity, and region, among the entire elderly population in the United States remains unclear. The objective of this study was to assess the survival of the Medicare population with vertebral compression Fractures. Methods: We conducted a retrospective data analysis of Medicare claims generated by a 5% sample of all Medicare enrollees from 1997 through 2004. The patient sample consisted of all 97,142 individuals with a new Diagnosis of vertebral compression Fracture from 1997 through 2004. Controls were matched for age, sex, race, and Medicare buy-in status, with a five-to-one control-case ratio. The survival of a patient was measured from the earliest date of a new Fracture until death or until the end of the study. The patients with a Fracture were compared with the controls by calculation of the mortality rates, with use of Kaplan-Meier analysis and the Cox regression method. Demographic subpopulation analysis and analysis by comorbidity levels were performed as well. Results: Medicare patients with a vertebral Fracture had an overall mortality rate that was approximately twice that of the matched controls. The survival rates following a Fracture Diagnosis, as estimated with the Kaplan-Meier method, were 53.9%, 30.9%, and 10.5% at three, five, and seven years, respectively, which were consistently and significantly lower than the rates for the controls. The mortality risk following a Fracture was greater for men than for women. The difference in mortality between the patients with a vertebral compression Fracture and the controls was greatest when the patients were younger at the time of the Fracture; this difference declined as the age at the time of the Fracture increased. Conclusions: This study establishes the mortality risk associated with vertebral Fractures for elderly patients of all ages and ethnicities and both sexes in the Medicare population; however, it does not imply a causal relationship. The difference in mortality between patients with a Fracture and controls is higher than previously reported, even after controlling for comorbidities. Level of Evidence: Prognostic Level III. See Instructions to Authors for a complete description of levels of evidence.
Subarna Ghosh - One of the best experts on this subject based on the ideXlab platform.
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compression Fracture Diagnosis in lumbar a clinical cad system
Computer Assisted Radiology and Surgery, 2013Co-Authors: Samah Alhelo, Subarna Ghosh, Raja S Alomari, Vipin Chaudhary, Gurmeet Dhillon, Mohd Belal Alzoubi, Hazem Hiary, Thair HamtiniAbstract:Purpose Lower back pain affects 80–90 % of all people at some point during their life time, and it is considered as the second most neurological ailment after headache. It is caused by defects in the discs, vertebrae, or the soft tissues. Radiologists perform Diagnosis mainly from X-ray radiographs, MRI, or CT depending on the target organ. Vertebra Fracture is usually diagnosed from X-ray radiographs or CT depending on the available technology. In this paper, we propose a fully automated Computer-Aided Diagnosis System (CAD) for the Diagnosis of vertebra wedge compression Fracture from CT images that integrates within the clinical routine.
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automatic lumbar vertebra segmentation from clinical ct for wedge compression Fracture Diagnosis
Proceedings of SPIE, 2011Co-Authors: Subarna Ghosh, Raja S Alomari, Vipin Chaudhary, Gurmeet DhillonAbstract:Lumbar vertebral Fractures vary greatly in types and causes and usually result from severe trauma or pathological conditions such as osteoporosis. Lumbar wedge compression Fractures are amongst the most common ones where the vertebra is severely compressed forming a wedge shape and causing pain and pressure on the nerve roots and the spine. Since vertebral segmentation is the first step in any automated Diagnosis task, we present a fully automated method for robustly localizing and segmenting the vertebrae for preparation of vertebral Fracture Diagnosis. Our segmentation method consists of five main steps towards the CAD(Computer-Aided Diagnosis) system: 1) Localization of the intervertebral discs. 2) Localization of the vertebral skeleton. 3) Segmentation of the individual vertebra. 4) Detection of the vertebrae center line and 5) Detection of the vertebrae major boundary points. Our segmentation results are promising with an average error of 1.5mm (modified Hausdorff distance metric) on 50 clinical CT cases i.e. a total of 250 lumbar vertebrae. We also present promising preliminary results for automatic wedge compression Fracture Diagnosis on 15 cases, 7 of which have one or more vertebral compression Fracture, and obtain an accuracy of 97.33%.
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Medical Imaging: Computer-Aided Diagnosis - Automatic lumbar vertebra segmentation from clinical CT for wedge compression Fracture Diagnosis
Proceedings of SPIE, 2011Co-Authors: Subarna Ghosh, Raja S Alomari, Vipin Chaudhary, Gurmeet DhillonAbstract:Lumbar vertebral Fractures vary greatly in types and causes and usually result from severe trauma or pathological conditions such as osteoporosis. Lumbar wedge compression Fractures are amongst the most common ones where the vertebra is severely compressed forming a wedge shape and causing pain and pressure on the nerve roots and the spine. Since vertebral segmentation is the first step in any automated Diagnosis task, we present a fully automated method for robustly localizing and segmenting the vertebrae for preparation of vertebral Fracture Diagnosis. Our segmentation method consists of five main steps towards the CAD(Computer-Aided Diagnosis) system: 1) Localization of the intervertebral discs. 2) Localization of the vertebral skeleton. 3) Segmentation of the individual vertebra. 4) Detection of the vertebrae center line and 5) Detection of the vertebrae major boundary points. Our segmentation results are promising with an average error of 1.5mm (modified Hausdorff distance metric) on 50 clinical CT cases i.e. a total of 250 lumbar vertebrae. We also present promising preliminary results for automatic wedge compression Fracture Diagnosis on 15 cases, 7 of which have one or more vertebral compression Fracture, and obtain an accuracy of 97.33%.
