<p>Predložena je multiveličinska obrada kojom je moguće objediniti pojačanje<br />vidljivosti detalja kao i poboljšanje kontrasta radiografskih snimaka, kojim<br />se uspostavlja ravnoteža između kontrasta slabo i jasno vidljivih struktura.<br />Pored toga, obradom je obuhvaćeno i smanjenje globalnog kontrasta, čime je<br />moguće dodatno naglasiti lokalne strukture. Drugim rečima, predložena je<br />multiveličinska obrada koja integriše sve korake poboljšanja vidljivosti<br />anatomskih struktura. Predložena obrada razmotrena je u okviru razvijenog<br />algoritamskog okvira koji sadrži korake obrade radiografskih snimaka koji su<br />potrebni da bi se sirov signal, dobijen od strane detektora zračenja, obradio<br />i time pripremio za prikazivanje lekarima. Svaki od koraka obrade je<br />analiziran i predložena su originalna rešenja, kao i poboljšanja postojećih<br />pristupa. Evaluacijom je pokazano se integrisanom obradom postižu rezultati<br />koji prevazilaze one koji se dobijaju savremenom vrhunskom obradom, kao i da je<br />celokupni proces obrade moguće kontrolisati sa samo dva operativna<br />parametra. Da bi se upotpunila sveobuhvatna analiza procesa obrade<br />radiografskih snimaka, u disertaciji je razmotreno i uklanjanje artefakata<br />nastalih obradom, kao i mogućnost ubrzanja obrade radiografskih snimaka. Za<br />oba problema su ponuđena originalna rešenja čija je efikasnost<br />eksperimentalno potvrđena.</p> / <p>The thesis focuses on digital radiography image processing. Multi-scale processing is<br />proposed, which unifies detail visibility enhancement, local contrast enhancement and<br />global contrast reduction, thus enabling additional amplification of local structures. In<br />other words, the proposed multi-scale image processing integrates all steps of<br />anatomical structures visibility enhancement. For the purpose of the proposed<br />anatomical structures visibility enhancement analysis, a processing framework was<br />developed. The framework consists of several stages, used to process the image from<br />its raw form (signal obtained from the radiation detector), to the state where it will be<br />presented to the medical diagnostician. Each stage is analyzed and for each an<br />original solution or an improvement of an existing approach was proposed. Evaluation<br />has shown that integrated processing provides results which surpass state-of-the-art<br />processing methods, and that the entire processing pipeline can be controlled using<br />just two parameters. In order to complete the comprehensive analysis of radiography<br />image processing, processing artifacts removal and radiography image processing<br />acceleration are analyzed in the thesis. Both issues are addressed through original<br />solutions whose efficiency is experimentally confirmed.</p>
| Identifer | oai:union.ndltd.org:uns.ac.rs/oai:CRISUNS:(BISIS)107425 |
| Date | 21 September 2018 |
| Creators | Ostojić Vladimir |
| Contributors | Petrović Vladimir, Lončar-Turukalo Tatjana, Grbić Tatjana, Sečujski Milan, Sladojević Srđan, Vujisić Miloš |
| Publisher | Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, University of Novi Sad, Faculty of Technical Sciences at Novi Sad |
| Source Sets | University of Novi Sad |
| Language | Serbian |
| Detected Language | Unknown |
| Type | PhD thesis |
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