Wavelets based Algorithm for the Evaluation of Enhanced Liver Areas

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorAlvarez, Matheus
dc.creatorPina, Diana Rodrigues de
dc.creatorGiacomini, Guilherme
dc.creatorRomeiro, Fernando Gomes
dc.creatorDuarte, Sergio Barbosa
dc.creatorYamashita, Seizo
dc.creatorArruda Miranda, Jose Ricardo de
dc.creatorOurselin, S.
dc.creatorStyner, M. A.
dc.date2014-12-03T13:10:52Z
dc.date2016-10-25T20:11:35Z
dc.date2014-12-03T13:10:52Z
dc.date2016-10-25T20:11:35Z
dc.date2014-01-01
dc.date.accessioned2017-04-06T06:24:10Z
dc.date.available2017-04-06T06:24:10Z
dc.identifierMedical Imaging 2014: Image Processing. Bellingham: Spie-int Soc Optical Engineering, v. 9034, 9 p., 2014.
dc.identifier0277-786X
dc.identifierhttp://hdl.handle.net/11449/112609
dc.identifierhttp://acervodigital.unesp.br/handle/11449/112609
dc.identifier10.1117/12.2043822
dc.identifierWOS:000338543300155
dc.identifierWOS000338543300155.pdf
dc.identifierhttp://dx.doi.org/10.1117/12.2043822
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/923369
dc.descriptionHepatocellular carcinoma (HCC) is a primary tumor of the liver. After local therapies, the tumor evaluation is based on the mRECIST criteria, which involves the measurement of the maximum diameter of the viable lesion. This paper describes a computed methodology to measure through the contrasted area of the lesions the maximum diameter of the tumor by a computational algorithm 63 computed tomography (CT) slices from 23 patients were assessed. Non-contrasted liver and HCC typical nodules were evaluated, and a virtual phantom was developed for this purpose. Optimization of the algorithm detection and quantification was made using the virtual phantom. After that, we compared the algorithm findings of maximum diameter of the target lesions against radiologist measures. Computed results of the maximum diameter are in good agreement with the results obtained by radiologist evaluation, indicating that the algorithm was able to detect properly the tumor limits A comparison of the estimated maximum diameter by radiologist versus the algorithm revealed differences on the order of 0.25 cm for large-sized tumors (diameter > 5 cm), whereas agreement lesser than 1.0cm was found for small-sized tumors. Differences between algorithm and radiologist measures were accurate for small-sized tumors with a trend to a small increase for tumors greater than 5 cm. Therefore, traditional methods for measuring lesion diameter should be complemented with non-subjective measurement methods, which would allow a more correct evaluation of the contrast-enhanced areas of HCC according to the mRECIST criteria.
dc.languageeng
dc.publisherSpie - Int Soc Optical Engineering
dc.relationMedical Imaging 2014: Image Processing
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectHCC
dc.subjectmedical image segmentation
dc.subjectliver
dc.subjectmedical imaging
dc.subjectcomputed tomography
dc.subjectimage processing
dc.titleWavelets based Algorithm for the Evaluation of Enhanced Liver Areas
dc.typeOtro


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