dc.creatorNASCIMENTO, Marcelo Zanchetta do
dc.creatorFRERE, Annie France
dc.creatorGERMANO, Fernao
dc.date.accessioned2012-10-20T03:56:55Z
dc.date.accessioned2018-07-04T15:39:00Z
dc.date.available2012-10-20T03:56:55Z
dc.date.available2018-07-04T15:39:00Z
dc.date.created2012-10-20T03:56:55Z
dc.date.issued2008
dc.identifierJOURNAL OF DIGITAL IMAGING, v.21, n.2, p.177-187, 2008
dc.identifier0897-1889
dc.identifierhttp://producao.usp.br/handle/BDPI/29011
dc.identifier10.1007/s10278-007-9072-1
dc.identifierhttp://dx.doi.org/10.1007/s10278-007-9072-1
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1625653
dc.description.abstractThe most significant radiation field nonuniformity is the well-known Heel effect. This nonuniform beam effect has a negative influence on the results of computer-aided diagnosis of mammograms, which is frequently used for early cancer detection. This paper presents a method to correct all pixels in the mammography image according to the excess or lack on radiation to which these have been submitted as a result of the this effect. The current simulation method calculates the intensities at all points of the image plane. In the simulated image, the percentage of radiation received by all the points takes the center of the field as reference. In the digitized mammography, the percentages of the optical density of all the pixels of the analyzed image are also calculated. The Heel effect causes a Gaussian distribution around the anode-cathode axis and a logarithmic distribution parallel to this axis. Those characteristic distributions are used to determine the center of the radiation field as well as the cathode-anode axis, allowing for the automatic determination of the correlation between these two sets of data. The measurements obtained with our proposed method differs on average by 2.49 mm in the direction perpendicular to the anode-cathode axis and 2.02 mm parallel to the anode-cathode axis of commercial equipment. The method eliminates around 94% of the Heel effect in the radiological image and the objects will reflect their x-ray absorption. To evaluate this method, experimental data was taken from known objects, but could also be done with clinical and digital images.
dc.languageeng
dc.publisherSPRINGER
dc.relationJournal of Digital Imaging
dc.rightsCopyright SPRINGER
dc.rightsrestrictedAccess
dc.subjectheel effect
dc.subjectimages processing
dc.subjectcomputational simulation
dc.subjectx-rays
dc.subjectmammography
dc.subjectdigitized film
dc.titleAn automatic correction method for the heel effect in digitized mammography images
dc.typeArtículos de revistas


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