• DocumentCode
    44862
  • Title

    Integrating Radio Imaging With Gene Expressions Toward a Personalized Management of Cancer

  • Author

    Mitra, Subhasish ; Shankar, B. Uma

  • Author_Institution
    Machine Intell. Unit, Indian Stat. Inst., Kolkata, India
  • Volume
    44
  • Issue
    5
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    664
  • Lastpage
    677
  • Abstract
    Radiographic-imaging modalities like computerized tomography, positron emission tomography, and magnetic resonance imaging are playing a major role in the diagnosis and prognosis of cancer. Gene and protein expression patterns, from the tumor genome, are seen to facilitate individualized selection of therapies. Along with breakthroughs in biotechnology, applicable within cancer radiation biology, a new research field called Radiogenomics has been born in radiation oncology. Associating genotypes with imaging phenotypes holds promise for personalized optimal treatment. Segmentation and feature selection from the region of interest in an image are followed by correlation with the gene expression profile of the tumor in order to determine its noninvasive surrogates. This paper highlights the roles of quantitative imaging, genomics, and radiogenomics for a patient-specific tumor management.
  • Keywords
    biomedical MRI; cancer; computerised tomography; genomics; image segmentation; medical image processing; positron emission tomography; tumours; biotechnology; cancer radiation biology; computerized tomography; feature selection; gene expression profile; genomics; genotypes; magnetic resonance imaging; noninvasive surrogates; patient-specific tumor; personalized optimal treatment; positron emission tomography; protein expression patterns; quantitative imaging; radiation oncology; radiogenomics; radiographic-imaging modalities; tumor genome; Biomedical imaging; Cancer; Computed tomography; Diseases; Image segmentation; Tumors; Computerized tomography (CT); feature selection; genomics; magnetic resonance imaging (MRI); noninvasive quantitative imaging; positron emission tomography (PET); radiogenomics; segmentation;
  • fLanguage
    English
  • Journal_Title
    Human-Machine Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2291
  • Type

    jour

  • DOI
    10.1109/THMS.2014.2325744
  • Filename
    6828742