You Position: Home > Paper

The registration accuracy analysis of different CT-MRI imaging fusion method in brain tumor

( views:357, downloads:85 )
Author:
No author available
Journal Title:
CHINESE JOURNAL OF RADIATION ONCOLOGY
Issue:
6
DOI:
10.3760/cma.j.issn.1004-4221.2010.06.004
Key Word:
脑肿瘤;图像融合精度;体层摄影术,X线计算机;磁共振成像;Brain neoplasms;Image fusion accuracy;Tomography,X-ray computed;Magnetic resonance imaging

Abstract: Objective To find an effective CT-MRI image fusion protocol in brain tumor by analyzing the registration accuracy of different methods. Methods The simulation CT scan and MRI T1 WI imaging of 10 brain tumor patients obtained with same position were registered by Tris-Axes landmark 、Tris-Axes landmark + manual adjustment、 mutual information and mutual information + manual adjustment method. The clinical tumor volume (CTV) were contoured on both CT and MRI images respectively. The accuracy of image fusion was assessed by the mean distance of five bone markers ( d1-5 ), central position of CTV ( dCTV ) the percentage of CTV overlap ( PCT-MRI ) between CT and MRI images. The difference between different methods was analyzed by Freidman M non-parameter test. Results The difference of the means d1-5 between the Tris-Axes landmark、Tris-Axes landmark plus manual adjustment、mutual information and mutual information plus manual adjustment methods were 0. 28 cm ±0. 12 cm, 0. 15 cm ±0.02 cm, 0. 25 cm± 0. 19 cm, 0. 10 cm ± 0. 06 cm, ( M = 14. 41, P = 0. 002 ). the means dCTV were 0. 59 cm ± 0. 28 cm,0. 60 cm± 0. 32 cm, 0. 58 cm ± 0. 39 cm, 0. 42 cm± 0. 30 cm( M = 9. 72, P = 0. 021 ), the means PCT-MRI were 0.69% ±0. 18%, 0.68% ±0. 16%, 0.66% ±0. 17%, 0.74% ±0. 14% (M = 14.82,P=0.002),respectively. Conclusions Mutual information plus manual adjustment registration method was the preferable fusion method for brain tumor patients.

WanfangData CO.,Ltd All Rights Reserved
About WanfangData | Contact US
Healthcare Department, Fuxing Road NO.15, Haidian District Beijing, 100038 P.R.China
Tel:+86-010-58882616 Fax:+86-010-58882615 Email:yiyao@wanfangdata.com.cn