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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

01.03.2014 | Original Article

Optimal setting of image bounding box can improve registration accuracy of diffusion tensor tractography

verfasst von: Masanori Yoshino, Taichi Kin, Toki Saito, Daichi Nakagawa, Hirofumi Nakatomi, Akira Kunimatsu, Hiroshi Oyama, Nobuhito Saito

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 2/2014

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Abstract

Purpose

When we register diffusion tensor tractography (DTT) to anatomical images such as fast imaging employing steady-state acquisition (FIESTA), we register the B0 image to FIESTA. Precise registration of the DTT B0 image to FIESTA is possible with non-rigid registration compared to rigid registration, although the non-rigid methods lack convenience. We report the effect of image data bounding box settings on registration accuracy using a normalized mutual information (NMI) method

Methods

MRI scans of 10 patients were used in this study. Registration was performed without modification of the bounding box in the control group, and the results were compared with groups re-registered using multiple bounding boxes limited to the region of interest (ROI). The distance of misalignment after registration at 3 anatomical characteristic points that are common to both FIESTA and B0 images was used as an index of accuracy.

Results

Mean (\(\pm \)SD) misalignment at the 3 anatomical points decreased significantly from \(5.99\pm 1.58\) to \(2.21\pm 1.24\) mm, \(p<0.0001\)), \(4.36\pm 1.58\) to \(1.48\pm 0.58\) mm, (\(p<0.0001)\), and \(5.21\pm 1.76\) to \(1.20\pm 0.74\) mm, (\(p<0.0001)\), each showing improvement compared to the control group

Conclusion

Narrowing the image data bounding box to the ROI improves the accuracy of registering B0 images to FIESTA by NMI method. With our proposed methodology, accuracy can be improved in extremely easy steps, and this methodology may prove useful for DTT registration to anatomical image

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Titel: Optimal setting of image bounding box can improve registration accuracy of diffusion tensor tractography
verfasst von: Masanori Yoshino
Taichi Kin
Toki Saito
Daichi Nakagawa
Hirofumi Nakatomi
Akira Kunimatsu
Hiroshi Oyama
Nobuhito Saito
Publikationsdatum: 01.03.2014
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 2/2014
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-013-0934-3

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Optimal setting of image bounding box can improve registration accuracy of diffusion tensor tractography