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Titolo:
Automatic detection of radiation fields in digital radiographic images
Autore:
Luo, JB; Senn, RA;
Indirizzi:
Eastman Kodak Co, Imaging Res & Adv Dev, Rochester, NY 14650 USA Eastman Kodak Co Rochester NY USA 14650 Adv Dev, Rochester, NY 14650 USA
Titolo Testata:
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
fascicolo: 1, volume: 13, anno: 1999,
pagine: 149 - 168
SICI:
0218-0014(199902)13:1<149:ADORFI>2.0.ZU;2-1
Fonte:
ISI
Lingua:
ENG
Soggetto:
PORTAL IMAGES;
Keywords:
radiation field recognition; collimation detection; edge classification; Hough transform; fuzzy figure-of-merit; tree-structured hypothesis test;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
16
Recensione:
Indirizzi per estratti:
Indirizzo: Luo, JB Eastman Kodak Co, Imaging Res & Adv Dev, Rochester, NY 14650 USA Eastman Kodak Co Rochester NY USA 14650 , Rochester, NY 14650 USA
Citazione:
J.B. Luo e R.A. Senn, "Automatic detection of radiation fields in digital radiographic images", INT J PATT, 13(1), 1999, pp. 149-168

Abstract

In computerized radiography (CR) imaging, collimation is frequently employed to shield body parts from unnecessary radiation exposure and minimize radiation scattering using X-ray opaque: material. The radiation field is therefore the diagnostic region of interest which has been exposed directly toX-rays. We present an image analysis system for the recognition of the collimation, or equivalently, detection of the radiation field. The purpose isto (1) facilitate optimal tone scale enhancement, which can be driven onlyby the diagnostically useful part of the image data, and (2) minimize the viewing flare caused by the une,:posed area. This system consists of three stages of operations: (1) pixel-level detection and classification of collimation boundary transition pixels; (2) line-level delineation of candidate collimation blades; and (3) region-level determination of the collimation configuration. This system has been reduced to practice and tested over 807 images of 11 exam types and a success rate in excess of 99% has been achieved for tone scale enhancement and masking. Due to the novel design of the system, its computational efficiency lends itself to online operations.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 06/08/20 alle ore 16:00:23