Registration of T2-weighted and diffusion-weighted MR images of the prostate: Comparison between manual and landmark-based methods

被引:0
|
作者
Peng, Yahui [1 ]
Jiang, Yulei [1 ]
Soylu, Fatma Nur [1 ]
Tomek, Mark [1 ]
Sensakovic, William [1 ]
Oto, Aytekin [1 ]
机构
[1] Univ Chicago, Dept Radiol, Chicago, IL 60637 USA
来源
MEDICAL IMAGING 2012: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT | 2012年 / 8318卷
关键词
Magnetic resonance imaging; prostate cancer; diffusion-weighted imaging; T2-weighted imaging; image registration; landmark-based rigid registration; manual registration; CANCER; DISTORTION; SPREAD;
D O I
10.1117/12.911637
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Quantitative analysis of multi-parametric magnetic resonance (MR) images of the prostate, including T2-weighted (T2w) and diffusion-weighted (DW) images, requires accurate image registration. We compared two registration methods between T2w and DW images. We collected pre-operative MR images of 124 prostate cancer patients (68 patients scanned with a GE scanner and 56 with Philips scanners). A landmark-based rigid registration was done based on six prostate landmarks in both T2w and DW images identified by a radiologist. Independently, a researcher manually registered the same images. A radiologist visually evaluated the registration results by using a 5-point ordinal scale of 1 (worst) to 5 (best). The Wilcoxon signed-rank test was used to determine whether the radiologist's ratings of the results of the two registration methods were significantly different. Results demonstrated that both methods were accurate: the average ratings were 4.2, 3.3, and 3.8 for GE, Philips, and all images, respectively, for the landmark-based method; and 4.6, 3.7, and 4.2, respectively, for the manual method. The manual registration results were more accurate than the landmark-based registration results (p < 0.0001 for GE, Philips, and all images). Therefore, the manual method produces more accurate registration between T2w and DW images than the landmark-based method.
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页数:6
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