Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Lung Cancer Detection using Spectral Photon-Counting Computed Tomography
KTH, School of Engineering Sciences (SCI).
KTH, School of Engineering Sciences (SCI).
KTH, School of Engineering Sciences (SCI).
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Fotonräknande datortomografi förlungcancerdiagnos (Swedish)
Abstract [en]

Lung cancer is one of the most vicious commonplace diseases around. The only wayto efficiently combat lung cancer is to detect tumors early using Computed Tomography(CT). In this procedure, a preliminary scan spots any suspicious tumors and then, aftera significant wait, a follow-up scan is taken to confirm whether the nodule is in fact atumor. Currently a new generation of CT scanners, called Spectral Photon CountingCT scanners, is being developed. These CT scanners offer a variety of improvementsincluding the possibility of reducing the pixel size in detectors. The purpose of this workis to investigate, through computational modeling, if a smaller pixel size combined witha smaller source size would improve the ability to determine lung tumor growth, and assuch reduce the wait time between visits for patients. The results showed that it waspossible to reduce the pixel size without significantly increasing the noise of the imageby using image processing. However, the smaller pixels did not improve the ability todetect tumor growth.

Abstract [sv]

Lungcancer är en av de valigaste och mest svårbehandlade formerna av cancer. Att med hjälp av datatomografi (CT) hitta tumören i ett tidigt skede är i dagsläget det ända som förbättrar prognosen. När en suspekt nodul upptäcks görs en andra CT röntgen för att fastställa om nodulen vuxit och därav är en cancertumör. Idag utvecklas en ny generation av CT röntgen (Spectral Photon Counting CT) som bland annat möjliggör en minskning av pixelstorlek. Syftet med detta arbete är att genom datamodellering undersöka om en minskning av pixelstorlek samt källstorlek skulle göra det möjligt att detektera mindre tillväxter på tumörer och därigenom korta ner väntetiden mellan de två röntgentillfällena. Resultatet visade att det genom bildbehandling var möjligt att minska pixel storleken utan att märkbart öka bakgrundsbruset. Däremot visade den nya pixelstorleken inte en föbättrad förmåga att detektera cancertillväxt.

Place, publisher, year, edition, pages
2018. , p. 30
Series
TRITA-SCI-GRU ; 2018-146
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-231771OAI: oai:DiVA.org:kth-231771DiVA, id: diva2:1229892
Supervisors
Examiners
Available from: 2018-07-02 Created: 2018-07-02 Last updated: 2018-07-02Bibliographically approved

Open Access in DiVA

No full text in DiVA

By organisation
School of Engineering Sciences (SCI)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 37 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf