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103 Pages·2007·1.83 MB·English
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Examensarbete Improving visualisation of bronchi in three-dimensional rendering of CT data Kristian Ko¨ps´en LiTH - IMT / MI20 - EX - - 07 / 446 - - SE Improving visualisation of bronchi in three-dimensional rendering of CT data Department of Biomedical Engineering, Linko¨pings Universitet Kristian K¨ops´en LiTH - IMT / MI20 - EX - - 07 / 446 - - SE Examensarbete: 20 p Level: D Supervisors: Mats Andersson, Department of Biomedical Engineering, Linko¨pings Universitet Fredrik Karlsson, Sectra Imtec AB Examiner: Hans Knutsson, Department of Biomedical Engineering, Linko¨pings Universitet Linko¨ping: January 2007 Datum Avdelning, Institution Date Division, Department Institutionen fo¨r Medicinsk Teknik January 2007 581 85 LINKO¨PING SWEDEN Spr˚ak Rapporttyp ISBN Language Report category ISRN Svenska/Swedish Licentiatavhandling LiTH - IMT / MI20 - EX - - 07 / 446 - - SE x Engelska/English x Examensarbete C-uppsats Serietitel och serienummer ISSN D-uppsats Titleofseries,numbering O¨vrigrapport URL fo¨r elektronisk version http://www.ep.liu.se/ Titel Improving visualisation of bronchi in three-dimensional rendering of CT data Title Fo¨rfattare Kristian Ko¨ps´en Author Sammanfattning Abstract ThemedicalimagingsystemSectraPACSfromSectraImteccontainsa3Dmodethat can be used for visualising image stacks from e.g. computed tomography. Various structures of humananatomy can be visualised in the 3D mode, but visualisationsof the bronchial tree of the lungs rarely become good enough to be useful. The goal of this work was to investigate ways of improving such visualisations. Variousapproacheswerestudied, evaluatedandtested. Thefactthatmosteffortwas needed for small structures with sizes similar to the resolution of the images made things slightly more complicated. A method classifying neighbourhoods based on localstructureemergedasmostpromising,andwasusedasfoundationforaproposed algorithm. Itcreatesamaskrepresentingthepresenceofbronchi,allowingthehiding of uninteresting structures in its proximity. The algorithm was then implemented so that it could be tested together with the existing system. The method was found to work well and was able to detect the smaller tubes of the bronchial tree and output the desired classification mask. Its usefulness was somewhat reduced by issues relating to speed, and the fact that many computed tomographyimagestackslackthenecessaryresolutionforvisualisingthe finerdetails of the bronchial tree. Nyckelord computed tomography, bronchi, visualisation, image enhancement Keyword vi Abstract ThemedicalimagingsystemSectraPACSfromSectraImteccontainsa3Dmode that can be used for visualising image stacks from e.g. computed tomography. Various structures of human anatomy can be visualised in the 3D mode, but visualisations of the bronchial tree of the lungs rarely become good enough to be useful. The goal of this work was to investigate ways of improving such visualisations. Various approaches were studied, evaluated and tested. The fact that most effort was needed for small structures with sizes similar to the resolutionof the images made things slightly more complicated. A method classifying neigh- bourhoods based on local structure emerged as most promising, and was used asfoundationforaproposedalgorithm. Itcreatesamaskrepresentingthepres- ence of bronchi,allowingthe hiding ofuninteresting structures in its proximity. The algorithm was then implemented so that it could be tested together with the existing system. Themethodwasfoundtoworkwellandwasabletodetectthesmallertubes of the bronchial tree and output the desired classification mask. Its usefulness was somewhat reduced by issues relating to speed, and the fact that many computedtomographyimagestackslackthenecessaryresolutionforvisualising the finer details of the bronchial tree. Keywords: computedtomography,bronchi,visualisation,imageenhancement K¨ops´en, 2007. vii viii Acknowledgements First ofall, I wouldlike to thank Sectra Imtec for giving me the opportunity to perform this very interesting project. Thank you, Fredrik Karlsson for keeping me on trackand positive, andeveryone at PD RADIT for help, goodideas and being part of a pleasant work environment. I would also like to thank Mats Andersson and Hans Knutsson at IMT for useful opinions, feedback and suggestions. K¨ops´en, 2007. ix x

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I would also like to thank Mats Andersson and Hans Knutsson at IMT for useful opinions, feedback 3. 2 CT imaging of human lungs. 5. 2.1 The human lung .
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