Table 5.
General comparison with previously published works for the detection of AC and PC points. These are the results reported on the datasets used in the source papers. Note that all the other methods required some prior information either by finding the landmarks in the mid-sagittal plane only, or using spatial priors and region of interest. While the proposed method does not require any prior information, and it is also applied to the largest dataset.
Method | Mean Error (mm) | Data Size | Priors | |
---|---|---|---|---|
AC | PC | |||
Verard et al. (1997) | 0.41 ± 0.21 | 0.35 ± 0.32 | 30 | Mid-sagittal plane |
Prakash et al. (2006) - expert I | 1.20 ± 1.30 | 1.10 ± 1.30 | 71 | Mid-sagittal plane |
Prakash et al. (2006) - expert II | 1.20 ± 1.00 | 1.10 ± 1.20 | 71 | Mid-sagittal plane |
Ardekani & Bachman (2009) - NKI | 0.90 ± 1.60 | 0.90 ± 1.80 | 48 | Initialisation point |
Ardekani & Bachman (2009) - IXI | 1.10 ± 2.20 | 0.90 ± 1.80 | 84 | Initialisation point |
Guerrero et al. (2011) | 0.45 ± 0.22 | 0.46 ± 0.20 | 200 | Spatial prior probabilities |
Guerrero et al. (2012) | 0.67 ± 0.59 | 0.64±0.31 | 200 | Spatial prior probabilities |
Liu & Dawant (2015) | 0.55 ± 0.30 | 0.56 ± 0.28 | 100 | Region of interest |
Proposed RL Agents | 1.86 ± 1.07 | 2.01 ± 1.29 | 832 | - |