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2018 | OriginalPaper | Buchkapitel

Lytic Region Recognition in Hip Radiograms by Means of Statistical Dominance Transform

verfasst von: Marcin Kociołek, Adam Piórkowski, Rafał Obuchowicz, Paweł Kamiński, Michał Strzelecki

Erschienen in: Computer Vision and Graphics

Verlag: Springer International Publishing

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Abstract

Total hip replacement is the accepted treatment procedure of the end stage degeneration of the hip joint. Instability of the prosthesis might be recognized on the radiographic images as area of bone radio - lucency adjacent to the prosthesis pin. However, the very important issue of radiological recognition of periprosthetic lucent areas reflecting the lysis remains a challenge. Small dimensions and fuzzy borders of the lytic areas makes them difficult regions to recognize. Additional factors as high BMI of the patients and/or radiograms taken through a mattress can make the evaluation even more difficult, while small lucent areas might be additionally blurred and of very low contrast. The paper presents a new approach for quantitative recognition of preprothetic lytic areas. We have proposed a multistep algorithm utilizing Statistical Dominance Transform for detection of lytic areas on digital radiograms. Preliminary results are quite promising. It was demonstrated that location and shape of the detected lytic region is in good agreement with assessment by radiologists.
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Metadaten
Titel
Lytic Region Recognition in Hip Radiograms by Means of Statistical Dominance Transform
verfasst von
Marcin Kociołek
Adam Piórkowski
Rafał Obuchowicz
Paweł Kamiński
Michał Strzelecki
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-030-00692-1_31

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