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An Automated Non-Rigid Registration Method for Accurate Quantification of Dynamic Contrast Enhanced MR Imaging (DCE-MRI) in Complex Adnexal Masses Employing Residual Complexity Framework
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kazerooni, Anahita Fathi Nabil, Mahnaz Kia, Elaheh Malek, Mahrooz Rad, Hamidreza Saligheh |
| Copyright Year | 2016 |
| Abstract | PurposeQuantification of dynamic contrast enhanced (DCE-) MRI of ovarian masses is susceptible to errors caused by motion artifacts and intensity inhomogeneity induced by bias fields. Motion artifacts and bias fields introduce signal intensity variations in the images that must be resolved from intensity changes caused by the passage of contrast agent. Thus, registration of DCE-MR image sequence is a challenging issue. In this work, we proposed a solution to misregistration problem of DCE-MR images. MethodsWe acquired pre-operative DCE-MR images of 16 patients diagnosed with solid or solid/cystic complex ovarian masses on ultrasound examination (with post-operative histopathological assessment showing 8 benign and 8 malignant cases). The residual complexity (RC) similarity measure was exploited in a non-rigid registration framework in order to account for complex intensity variations. Performance of the proposed method was evaluated by computing semiquantitative parameters, determined in the regions of interest (ROIs) selected on the solid portion of the tumor and the psoas muscle. The results were compared with unregistered data and registered images using mutual information (MI) similarity measure. ResultsThe registered data using RC similarity measure indicated lower variations in signal intensity over the time course of contrast agent passage. The derived quantitative parameters showed an improved discrimination of benign from malignant tumors using RC registration in comparison with unregistered and MI-registered data. ConclusionRC registration is a useful tool for correcting misalignments of DCEMR image series in the presence of bias field artifacts, while it conserves the quantitative information of the contrast enhancement. |
| Starting Page | 70 |
| Ending Page | 79 |
| Page Count | 10 |
| File Format | PDF HTM / HTML |
| Volume Number | 3 |
| Alternate Webpage(s) | http://fbt.tums.ac.ir/index.php/fbt/article/download/94/94 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
