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Quantitative analysis of the patellofemoral motion pattern using semi-automatic processing of 4D CT data
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV). Sectra AB, Linköping, Sweden.ORCID iD: 0000-0003-0908-9470
Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping.
Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Orthopaedics in Linköping.
2016 (English)In: International Journal of Computer Assisted Radiology and Surgery, ISSN 1861-6410, E-ISSN 1861-6429, Vol. 11, no 9, 1731-1741 p.Article in journal (Refereed) Published
Abstract [en]

To present a semi-automatic method with minimal user interaction for quantitative analysis of the patellofemoral motion pattern. 4D CT data capturing the patellofemoral motion pattern of a continuous flexion and extension were collected for five patients prone to patellar luxation both pre- and post-surgically. For the proposed method, an observer would place landmarks in a single 3D volume, which then are automatically propagated to the other volumes in a time sequence. From the landmarks in each volume, the measures patellar displacement, patellar tilt and angle between femur and tibia were computed. Evaluation of the observer variability showed the proposed semi-automatic method to be favorable over a fully manual counterpart, with an observer variability of approximately 1.5 for the angle between femur and tibia, 1.5 mm for the patellar displacement, and 4.0-5.0 for the patellar tilt. The proposed method showed that surgery reduced the patellar displacement and tilt at maximum extension with approximately 10-15 mm and 15-20 for three patients but with less evident differences for two of the patients. A semi-automatic method suitable for quantification of the patellofemoral motion pattern as captured by 4D CT data has been presented. Its observer variability is on par with that of other methods but with the distinct advantage to support continuous motions during the image acquisition.

Place, publisher, year, edition, pages
SPRINGER HEIDELBERG , 2016. Vol. 11, no 9, 1731-1741 p.
Keyword [en]
Computed tomography; 4D; Patella luxation; Quantitative; Motion pattern
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-132069DOI: 10.1007/s11548-016-1357-8ISI: 000383323800015PubMedID: 26932337OAI: oai:DiVA.org:liu-132069DiVA: diva2:1038434
Conference
18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
Available from: 2016-10-18 Created: 2016-10-17 Last updated: 2016-10-18

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Forsberg, DanielLindblom, MariaQuick, PetterGauffin, Håkan
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Media and Information TechnologyThe Institute of TechnologyCenter for Medical Image Science and Visualization (CMIV)Department of Medical and Health SciencesFaculty of Medicine and Health SciencesDepartment of Radiology in LinköpingDivision of Clinical SciencesDepartment of Orthopaedics in Linköping
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International Journal of Computer Assisted Radiology and Surgery
Medical Image Processing

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