Wolz G, Nömayr A, Hothorn T, Hornegger J, Römer W, Bautz W, Kuwert T (2007)
Publication Type: Journal article, Original article
Publication year: 2007
Original Authors: Wolz G., Nömayr A., Hothorn T., Hornegger J., Römer W., Bautz W., Kuwert T.
Publisher: Springer Verlag (Germany)
Book Volume: 2
Pages Range: 183-190
Journal Issue: null
DOI: 10.1007/s11548-007-0128-y
Object: This retrospective study compares the anatomical accuracy of automated rigid and non-rigid registration software for aligning data from separately performed X-ray computed tomography (CT) and positron emission tomography with F-18-deoxyglucose (PET). Materials and methods: Analyses were performed on independently acquired PET and CT data from 40 tumor patients. Rigid as well as non-rigid automated fusion was carried out using the commercially available Mirada 7D platform (MIR and MINR, respectively) as well as a second automated non-rigid registration based on a variational image registration approach (VIR). Distances between lesion representation on PET and CT of 105 malignant lesions were measured in X-, Y-, and Z-directions. Statistical evaluation was performed using mixed effect analysis, comparing separately MIR with MINR and VIR with MINR. Results: The percentage of lesions misregistered by less than 15 mm varied from 70% for MIR and MINR in Z-direction to 93% for VIR in X-direction. The average X-, Y- and Z-distances ranged between 5.9 ± 5.7 mm for VIR in X-direction and 12.8 ± 9.7 mm for MIR in Z-direction. MINR was significantly more accurate than MIR in Y-direction. Furthermore, VIR aligned thoracic lesions in the X- direction significantly better than MINR. Conclusion: The accuracy of rigid and non-rigid automated image registration can be expected to be better than 15 mm for the majority of lesions. Alignment tended to be more accurate with non-rigid registration. © CARS 2007.
APA:
Wolz, G., Nömayr, A., Hothorn, T., Hornegger, J., Römer, W., Bautz, W., & Kuwert, T. (2007). Comparison of performance between rigid and non-rigid software registering CT to FDG-PET. International Journal of Computer Assisted Radiology and Surgery, 2(null), 183-190. https://dx.doi.org/10.1007/s11548-007-0128-y
MLA:
Wolz, Gabriele, et al. "Comparison of performance between rigid and non-rigid software registering CT to FDG-PET." International Journal of Computer Assisted Radiology and Surgery 2.null (2007): 183-190.
BibTeX: Download