Medical image registration: A review of existing methods and preliminary numerical results

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dc.contributor.advisorZhang, Yin
dc.creatorCastillo, Edward
dc.date.accessioned2009-06-04T06:57:49Z
dc.date.available2009-06-04T06:57:49Z
dc.date.issued2005
dc.description.abstractRegistration of medical images has become an important area of research. In particular, registration of computed tomography (CT) lung images is of great interest to radiation oncologists planning radiation treatment for patients with lung cancer. A review of existing image registration methods, as well as preliminary numerical results, indicate that methods based on a constant pixel intensity assumption, such as traditional optical flow methods, cannot be expected to produce accurate registration of lung CT images. Nonlinear methods allowing variations in pixel intensities, though more costly than linear methods, promise to be more accurate for this application.
dc.format.extent48 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS MATH.SCI. 2006 CASTILLO
dc.identifier.citationCastillo, Edward. "Medical image registration: A review of existing methods and preliminary numerical results." (2005) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17867">https://hdl.handle.net/1911/17867</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17867
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectMathematics
dc.titleMedical image registration: A review of existing methods and preliminary numerical results
dc.typeThesis
dc.type.materialText
thesis.degree.departmentMathematical Sciences
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts
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