Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/549299
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dc.coverage.spatialStudy on diagnostic techniques for lumbar abnormalities from MR images
dc.date.accessioned2024-03-06T10:06:05Z-
dc.date.available2024-03-06T10:06:05Z-
dc.identifier.urihttp://hdl.handle.net/10603/549299-
dc.description.abstractThe spinal column is a vital organ in the human body. Spine injury newlinein lumbar region causes low back pain and at times even leads to paralysis. newlineLow back pain in humans is one of the most common lifelong disabilities. The newlinecommon types of lumbar spine diseases are disc degeneration, bulge, herniation, newlineand spinal stenosis. The first step in identifying the cause for back pain is a newlinephysical examination focusing on neurological and non-neurological conditions. newlineAfter ruling out non-neurological conditions, the physicians suggest an imaging newlinestudy of lumbar spine region for further analysis about the injury, especially if newlinethe pain is progressive. X-ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET) are various medical imaging modalities for diagnosing lumbar abnormalities. In MR images, the soft tissues in spinal column like Intervertebral Discs (IVDs), spinal cord are clearly visible than in either CT or X-ray. Hence, MRI is preferred over other modalities in the diagnosis of spine abnormalities. In T2-weighted MR images, the intensity variations with or without abnormality are more distinguishable than other different protocols of MRI. The medical experts diagnose the disc bulge and herniation from T2-weighted axial images. They refer T2-weighted sagittal newlineimages to diagnose central canal spinal stenosis and disc degeneration. newline newline
dc.format.extentxvi, 125p.
dc.languageEnglish
dc.relationp.115-124
dc.rightsuniversity
dc.titleStudy on diagnostic techniques for lumbar abnormalities from MR images
dc.title.alternative
dc.creator.researcherBeulah A
dc.subject.keywordComputed Tomography
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordDiagnostic techniques
dc.subject.keywordEngineering and Technology
dc.subject.keywordLumbar abnormalities
dc.subject.keywordMagnetic Resonance Imaging
dc.description.note
dc.contributor.guideSree Sharmila T
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions21cm.
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.18 kBAdobe PDFView/Open
02_prelim_pages.pdf872.14 kBAdobe PDFView/Open
03_contents.pdf23.01 kBAdobe PDFView/Open
04_abstracts.pdf19.33 kBAdobe PDFView/Open
05_chapter1.pdf2.07 MBAdobe PDFView/Open
06_chapter2.pdf78.25 kBAdobe PDFView/Open
07_chapter3.pdf335.52 kBAdobe PDFView/Open
08_chapter4.pdf888 kBAdobe PDFView/Open
09_chapter5.pdf1.05 MBAdobe PDFView/Open
10_annexures.pdf68.94 kBAdobe PDFView/Open
80_recommendation.pdf48 kBAdobe PDFView/Open


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