Knee bone segmentation from MRI: A classification and literature review

• Autorzy: Aprovitola A. , Gallo L.

Identyfikatory

DOI

10.1016/j.bbe.2015.12.007

• Języki publikacji: EN

Abstrakty

EN

Segmentation of cartilage from Magnetic Resonance (MR) images has evolved as a tool for the diagnosis of knee joint pathologies. However, accuracy and reproducibility of automated methods of cartilage segmentation may require the prior extraction of bone surfaces from MR imaging sequences specifically designed to evidence the cartilage and not the bone. Thus a priori knowledge of knee joint structures and fully automated segmentation methods are adopted to provide reliable detection of bone surfaces. In this paper, we review knee bone segmentation methods from MR images. We classified the methods proposed in literature according to the level of a priori knowledge, the level of automation and the level of manual user interaction. Furthermore we discuss the segmentation results in literature in relation to the MR sequences used to image the bone.

Słowa kluczowe

EN

magnetic resonance imaging; segmentation method; a priori knowledge; magnetic resonance sequences; knee bone image

PL

rezonans magnetyczny; metoda segmentacji; staw kolanowy

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2016
• Tom: Vol. 36, no. 2
• Strony: 437--449
• Opis fizyczny: Bibliogr. 73 poz., rys., tab., wykr.

Twórcy

autor

Aprovitola A.

• Institute for High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR), Via Pietro Castellino 111, 80131 Naples, Italy

autor

Gallo L.

• Institute for High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR), Via Pietro Castellino 111, 80131 Naples, Italy

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.