Abstract
Traditionally, for diagnosing patellar dislocation, clinicians make manual geometric measurements on computerized tomography (CT) images taken in the knee area, which is often complex and error-prone. Therefore, we develop a prototype CAD system for automatic measurement and diagnosis. We firstly segment the patella and the femur regions on the CT images and then measure two geometric quantities, patellar tilt angle (PTA), and patellar lateral shift (PLS) automatically on the segmentation results, which are finally used to assist in diagnoses. The proposed quantities are proved valid and the proposed algorithms are proved effective by experiments.
Highlights
Patellar dislocation occurs when the patella slips out from the patellar surface of the femur
We show the effect of contrast enhancement on an example computerized tomography (CT) image in Figure 5, where the original image and the contrast-enhanced image are shown in Figures 5(a) and 5(b), respectively, and the enlarged views of the corresponding sutura areas are shown in Figures 5(c) and 5(d), respectively
In order to validate our choice of the C-V models [17], we compare with the following benchmark methods for image segmentation: the biascorrected fuzzy c-means method (BCFCM) proposed by Mohamed et al [35], the updated region-based active contour method using region-scalable fitting (RSF) energy function proposed by Li et al [18], the level set method with bias field (LSEBFE) proposed by Li et al [21], and the active contours driven by local image fitting energy (LIF) proposed by Zhang et al [22]
Summary
Patellar dislocation occurs when the patella slips out from the patellar surface of the femur. In order to make the automatic measurement, we propose computing algorithms to segment the patella and femur regions in the CT images. 2. Scheme Overview e proposed scheme takes a specific portion of knee CT images as input and conducts a complete and automatic process of bone regions segmentation and geometric measurement. We quantify the geometric relationship between the two central planes by PTA and PLS, which provide the basis for patellar dislocation diagnosis
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