Lung nodule localization and size estimation on chest tomosynthesis
Coronal CT-MIP images are superior to transaxial CT-MIP images in facilitating lung nodule localization in DTS. Most <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mtext>nodules</mml:mtext> <mml:mo>≥</mml:mo> <mml:mn>100</mml:mn> <mml:mtext> </mml:mtext> <mml:msup><mml:mrow><mml:mi>mm</mml:mi></mml:mrow> <mml:mrow><mml:mn>3</mml:mn></mml:mrow> </mml:msup> </mml:mrow> </mml:math> found on CT can be visualized, correctly localized, and measured in DTS, and area-based measurement may be the key to more precise and less variable nodule measurements on DTS.
Authors
- Åse A. Johnsson (ORCID: https://orcid.org/0000-0002-0352-5756)
- Micael Oliveira Diniz (ORCID: https://orcid.org/0000-0003-0124-136X)
- Angelica Svalkvist (ORCID: https://orcid.org/0000-0001-8367-1317)
- Erika Fagman (ORCID: https://orcid.org/0000-0002-0983-0313)
- Jenny Vikgren (ORCID: https://orcid.org/0000-0001-6393-6904)
- Magnus Båth (ORCID: https://orcid.org/0000-0003-4004-2603)
- Mohammad Khalil (ORCID: https://orcid.org/0000-0001-9756-2728)
- Faiz Haj
Institutions
- University of Gothenburg (SE)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1117/1.jmi.12.s1.s13007
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Västra Götalandsregionen
- VINNOVA
- Lunds Universitet
- Linköpings Universitet
- Karolinska Institutet
- Knut och Alice Wallenbergs Stiftelse
- Vetenskapsrådet
- Umeå Universitet
- Sahlgrenska Universitetssjukhuset
- Göteborgs Universitet
- Uppsala Universitet
- Strålsäkerhetsmyndigheten