Top

Published in:

2018 | OriginalPaper | Chapter

Automated Detection of Cystic Lesions in Quantitative T1 Liver Images

Authors : Marta Wojciechowska, Benjamin Irving, Andrea Dennis, Henry R. Wilman, Rajarshi Banerjee, Sir Michael Brady, Matt Kelly

Published in: Medical Image Understanding and Analysis

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Differentiating between cysts and other liver lesions seen on magnetic resonance images is an important diagnostic problem. Quantitative T1 mapping enables characterisation of liver tissue in vivo, by providing an estimate of the extracellular water content, and can be used in analysis of liquid-filled cysts. This paper presents an image processing method to automatically detect hepatic cysts in such quantitative T1 maps. The method has been tested on a cohort of 926 cases from the UK Biobank study and classified images as containing cysts or cyst-free with accuracy of 83%, sensitivity of 93% and specificity of 82%.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Regional Assessment of Liver Disease Progression and Response to Therapy by Multi-time Point m-SLIC Correspondence

next chapter Voxel-Wise Analysis of Paediatric Liver MRI

Blachier, M., Leleu, H., Peck-Radosavljevic, M., Valla, D.-C., Roudot-Thoraval, F.: The burden of liver disease in Europe: a review of available epidemiological data. J. Hepatol. 58(3), 593–608 (2013). https://doi.org/10.1016/j.jhep.2012.12CrossRef

van Aerts, R.M.M., van de Laarschot, L.F.M., Banales, J.M., Drenth, J.P.H.: Clinical management of polycystic liver disease. J. Hepatol. 1–11 (2017). https://doi.org/10.1016/j.jhep.2017.11.024

Galvão, B.V.T., et al.: Prevalence of simple liver cysts and hemangiomas in cirrhotic and non-cirrhotic patients submitted to magnetic resonance imaging. Radiol. Bras. 46(4), 203–208 (2013). https://doi.org/10.1590/S0100-39842013000400005CrossRef

Kaltenbach, T.E.M., et al.: Prevalence of benign focal liver lesions: ultrasound investigation of 45,319 hospital patients. Abdom. Radiol. 41(1), 25–32 (2016). https://doi.org/10.1007/s00261-015-0605-7CrossRef

Borhani, A.A., Wiant, A., Heller, M.T.: Cystic hepatic lesions: a review and an algorithmic approach. Am. J. Roentgenol. 203(6), 1192–1204 (2014). https://doi.org/10.2214/AJR.13.12386CrossRef

Farooq, Z., Behzadi, A.H., Blumenfeld, J.D., Zhao, Y., Prince, M.R.: Comparison of MRI segmentation techniques for measuring liver cyst volumes in autosomal dominant polycystic kidney disease. Clin. Imaging 47, 41–46 (2018). https://doi.org/10.1016/j.clinimag.2017.07.004CrossRef

Göçeri, E., Gürcan, M.N., Dicle, O.: Fully automated liver segmentation from SPIR image series. Comput. Biol. Med. 53, 265–278 (2014). https://doi.org/10.1016/j.compbiomed.2014.08.009CrossRef

Banerjee, R., et al.: Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease. J. Hepatol. 60(1), 69–77 (2014). https://doi.org/10.1016/j.jhep.2013.09.002CrossRef

Sudlow, C., et al.: UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 12(3), 1–10 (2015). https://doi.org/10.1371/journal.pmed.1001779CrossRef

10.

Irving, B., et al.: Deep quantitative liver segmentation and vessel exclusion to assist in liver assessment. In: Valdés Hernández, M., González-Castro, V. (eds.) Medical Image Understanding and Analysis. Communications in Computer and Information Science, vol. 723. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60964-5_58CrossRef

Title: Automated Detection of Cystic Lesions in Quantitative T1 Liver Images
Authors: Marta Wojciechowska
Benjamin Irving
Andrea Dennis
Henry R. Wilman
Rajarshi Banerjee
Sir Michael Brady
Matt Kelly
Publisher: Springer International Publishing
Book: Medical Image Understanding and Analysis
Print ISBN: 978-3-319-95920-7

Electronic ISBN: 978-3-319-95921-4

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-95921-4_6

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner