Mapping of the prostate in endorectal coil-based MRI/MRSI and CT: A deformable registration and validation study

被引:60
|
作者
Lian, J
Xing, L
Hunjan, S
Dumoulin, C
Levin, J
Lo, A
Watkins, R
Rohling, K
Giaquinto, R
Kim, D
Spielman, D
Daniel, B
机构
[1] Stanford Univ, Sch Med, Dept Radiat Oncol, Stanford, CA 94305 USA
[2] GE Co, Ctr Corp Res & Dev, Schenectady, NY 12309 USA
[3] Stanford Univ, Sch Med, Dept Radiol, Stanford, CA 94305 USA
关键词
D O I
10.1118/1.1806292
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The endorectal coil is being increasingly used in magnetic resonance imaging (MRI) and MR spectroscopic imaging (MRSI) to obtain anatomic and metabolic images of the prostate with high signal-to-noise ratio (SNR). In practice, however, the use of endorectal probe inevitably distorts the prostate and other soft tissue organs, making the analysis and the use of the acquired image data in treatment planning difficult. The purpose of this work is to develop a deformable image registration algorithm to map the MRI/MRSI information obtained using an endorectal probe onto CT images and to verify the accuracy of the registration by phantom and patient studies. A mapping procedure involved using a thin plate spline (TPS) transformation was implemented to establish voxel-to-voxel correspondence between a reference image and a floating image with deformation. An elastic phantom with a number of implanted fiducial markers was designed for the validation of the quality of the registration. Radiographic images of the phantom were obtained before and after a series of intentionally introduced distortions. After mapping the distorted phantom to the original one, the displacements of the implanted markers were measured with respect to their ideal positions and the mean error was calculated. In patient studies, CT images of three prostate patients were acquired, followed by 3 Tesla (3 T) MR images with a rigid endorectal coil. Registration quality was estimated by the centroid position displacement and image coincidence index (CI). Phantom and patient studies show that TPS-based registration has achieved significantly higher accuracy than the previously reported method based on a rigid-body transformation and scaling. The technique should be useful to map the MR spectroscopic dataset acquired with ER probe onto the treatment planning CT dataset to guide radiotherapy planning. (C) 2004 American Association of Physicists in Medicine.
引用
收藏
页码:3087 / 3094
页数:8
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