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
Link To Document