DocumentCode :
2076190
Title :
A software prototype for the assessment of tumor treatment response using diffusion and perfusion MR imaging
Author :
Sakkalis, Vangelis ; Manikis, G.C. ; Papanikolaou, N. ; Karatzanis, I. ; Marias, Kostas
Author_Institution :
Inst. of Comput. Sci., FORTH, Heraklion, Greece
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
388
Lastpage :
391
Abstract :
Advanced MRI techniques including diffusion and perfusion weighted imaging, has the potential to provide early surrogate biomarkers to detect, characterize and assess treatment response of tumors. However, the widely accepted Response Evaluation Criteria in Solid Tumors (RECIST) are still considered as the gold standard for the evaluation of treatment response in solid tumors, even if according to recent studies RECIST seem to disregard the extent of necrosis, which is the target of all effective locoregional therapies. This is partly due to the fact that measurements of tumor size aren´t the best criterion for assessing actual early response. On the other hand, more sophisticated techniques such as the Apparent Diffusion Coefficient (ADC) and perfusion parameters are usually processed manually and evaluated independently using commercial CAD software, not widely available. In this paper we present an open access extensible software platform providing both diffusion and perfusion analysis in a single, user friendly environment that allows the radiologist to easily and objectively evaluate tumor response to therapy.
Keywords :
CAD; biodiffusion; biomedical MRI; cancer; image registration; medical image processing; patient treatment; tumours; ADC; advanced MRI techniques; apparent diffusion coefficient; commercial CAD software; diffusion weighted imaging; early surrogate biomarkers; effective locoregional therapies; gold standard; necrosis; open access extensible software platform; perfusion weighted imaging; response evaluation criteria; software prototype; solid tumors; tumor size; tumor treatment response; user friendly environment; Cancer; Histograms; Image color analysis; Imaging; Lesions; Medical treatment; Adult; Breast Neoplasms; Diffusion Magnetic Resonance Imaging; Female; Humans; Image Interpretation, Computer-Assisted; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6345950
Filename :
6345950
Link To Document :
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