An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images

Matilda Landgren, Karl Sjöstrand, Mattias Ohlsson, Daniel Ståhl, Niels Christian Overgaard, Kalle Åström, Rune Sixt, Lars Edenbrandt

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Designing a system for computer aided diagnosis is a complex procedure requiring an understanding of the biology of the disease, insight into hospital workflow and awareness of available technical solutions. This paper aims to show that a valuable system can be designed for diagnosing kidney lesions in children and adolescents from 99mTc- DMSA scintigraphy images. We present the chain of analysis and provide a discussion of its performance. On a per-lesion basis, the classification reached an ROC-curve area of 0.96 (sensitivity/specificity e.g. 97%/85%) measured using an independent test group consisting of 56 patients with 730 candidate lesions. We conclude that the presented system for diagnostic support has the potential of increasing the quality of care regarding this type of examination.
    Original languageEnglish
    Title of host publicationImage Analysis : 17th Scandinavian Conference, SCIA 2011 - Ystad, Sweden, May 2011 - Proceedings
    PublisherSpringer
    Publication date2011
    Pages489-500
    ISBN (Print)978-3-642-21226-0
    DOIs
    Publication statusPublished - 2011
    Event17th Scandinavian Conference on Image Analysis (SCIA) - Ystad Saltsjöbad, Ystad, Sweden
    Duration: 23 May 201127 May 2011
    http://www.maths.lth.se/vision/scia2011/

    Conference

    Conference17th Scandinavian Conference on Image Analysis (SCIA)
    LocationYstad Saltsjöbad
    CountrySweden
    CityYstad
    Period23/05/201127/05/2011
    Internet address
    SeriesLecture Notes in Computer Science
    Number6688
    ISSN0302-9743

    Keywords

    • Active Shape Models
    • Nuclear Imaging
    • Artificial Neural Networks
    • Computer Aided Diagnosis

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