of a set of landmarks on each, a statistical shape model is trained by applying principal component analysis (PCA) to the aligned shapes [2]. This yields a linear model of…
Fig. 1 Examples of segmentations (in blue) obtained with local PDMs, showing suboptimal fitting in areas of complex geometry and high curvature on the spine (Color figure online) Amongst existing…
averaged over the whole data set. 1 Introduction Due to reduced physical activity and modern office jobs that require prolonged sitting during work hours, pathological conditions affecting the spine have…
mm and a mean DICE coefficient of were obtained when comparing the computed segmentations with ground truth segmentations. These results are highly competitive when compared to the results of earlier…
mm and the data set size is . The advantage of working with such datasets is that different channels provide complementary information for our disc segmentation task. In our proposed…
. These results suggest that the AOFM-based approach is a promising tool for predicting accurate spinal cord dose in clinical practice. 1 Introduction Spinal tumors are neoplasm located at spinal…
1,500 ms, echo time (TE) 147 ms, flip angle 150 and number of averages 2, having a resolution of have been utilized for testing and validating the segmentation approach. Five herniated discs…
precision at 85.8 % accuracy. Our novel method proposes new image features that outperform previous features and utilizes techniques to improve robustness to MR imaging variations. KeywordsSpineRadiological measurementMRIGradingDiscsRegression 1 Introduction Our…
. The energy function of the CRF defines a posterior probability distribution for a set of class labels for the superpixels, given a set of features describing the superpixels. The…
92 % but with high FP level (50 per patient). Regions of interest (ROI) for lesion candidates are generated in this step and function as input for the second tier. In…
