A Mammographic Registration Method Based on Optical Flow and Mmultiresolution Computing - Kevin a Lee - Livros - Biblioscholar - 9781249401094 - 17 de setembro de 2012
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A Mammographic Registration Method Based on Optical Flow and Mmultiresolution Computing

Kevin a Lee

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A Mammographic Registration Method Based on Optical Flow and Mmultiresolution Computing

Publisher Marketing: Breast cancer is second only to lung cancer as the most prevalent form of cancer to afflict women remaining the leading cause of cancer death in women between the ages of 40 and 55. Mammography is a potent weapon in the fight against this lethal disease, due in large part to its widespread availability and low cost. Despite the fact that mammography can detect small lesions as early as two years before they become palpable on physical exam, between 10 and 30 percent of cancerous lesions go undetected during evaluation by the radiologist. One approach to improving detection rates involves comparing mammograms of the same breast from successive years. Since most forms of breast cancer develop slowly, multiple-view techniques might be able to detect subtle changes indicative of cancerous growth. This thesis proposes a computer-aided system designed to bring two images into correspondence, or alignment, so that they can be compared and evaluated for possible abnormalities. The system estimates a mapping between two images by calculating the optical flow, or apparent intensity change, between a source and target mammogram. The efficiency of the proposed registration system is enhanced by utilizing a multire solution approach whereby images are compared at more than one scale. In contrast to other registration attempts which match sets of morphological features, this system does not require the identification of any control points at all. This advantage permits the system to perform well even when the two images differ significantly from one another. Preliminary results suggest the potential usefulness of this system as part of a clinical computer-aided detection (CADx) system. Contributor Bio:  Lee, Kevin A Kevin A. Lee has more than a decade of experience in implementing software build and release management practices on projects of various sizes. He joined Rational Software, UK in 2000 as a technical field representative. Today he is still helping customers ensure successful deployment and adoption of the IBM Rational Software Development Platform. In addition to delivering presentations at IBM Rational user conferences worldwide and writing articles for IBM developerWorks, he maintains a Web site dedicated to build and release management (www.buildmeister.com). He also contributes to related open-source projects such as Apache Ant and CruiseControl. In his previous positions at large telecom organizations, he deployed the Rational Software Configuration Management (SCM) toolset on multisite enterprise projects. He holds a B. S. in computer science from the University of East Anglia.

Mídia Livros     Paperback Book   (Livro de capa flexível e brochura)
Lançado 17 de setembro de 2012
ISBN13 9781249401094
Editoras Biblioscholar
Páginas 106
Dimensões 189 × 246 × 6 mm   ·   204 g

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