MRI-ultrasound registration for targeted prostate biopsy

T2-weighted magnetic resonance images (MRI) imaging using an endorectal coil combined with a pelvic phased-array coil has been shown to provide high resolution images of the prostate. To integrate MRI analysis in standard prostate biopsy procedures, preoperative MRI must be accurately registered to 3-D transrectal ultrasound (TRUS) images. Shape changes due to patient motion, or drugs can induce further differences in glandular shape variation between preoperative MRI and 3-D TRUS during biopsy. In the proposed work, we model the deformation relating MRI and TRUS so as to enable analysis of MRI in conjunction with ultrasound (color blended or side-by-side) for planning of biopsy targets. Registration of MRI at various resolutions and endorectal balloon volumes and ultrasound volumes yielded average fiducial registration error of 3.06 mm using 6 and 12 bead phantoms.

[1]  Sheng Xu,et al.  Closed-Loop Control in Fused MR-TRUS Image-Guided Prostate Biopsy , 2007, MICCAI.

[2]  Hanif M. Ladak,et al.  Prostate segmentation from 2D ultrasound images , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

[3]  A Fenster,et al.  Prostate boundary segmentation from 2D ultrasound images. , 2000, Medical physics.

[4]  P. Carroll,et al.  Magnetic resonance imaging and spectroscopy of prostate cancer. , 2006, Reviews in urology.

[5]  P. Carroll,et al.  Prostate depiction at endorectal MR spectroscopic imaging: investigation of a standardized evaluation system. , 2004, Radiology.

[6]  Christos Davatzikos,et al.  Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models , 1997, Comput. Vis. Image Underst..

[7]  Oguz Akin,et al.  Imaging prostate cancer , 2002 .

[8]  A. Jemal,et al.  Cancer Statistics, 2008 , 2008, CA: a cancer journal for clinicians.

[9]  Daniele Regge,et al.  Endorectal magnetic resonance imaging and magnetic resonance spectroscopy to monitor the prostate for residual disease or local cancer recurrence after transrectal high‐intensity focused ultrasound , 2008, BJU international.

[10]  Jocelyne Troccaz,et al.  MRI/TRUS data fusion for prostate brachytherapy. Preliminary results , 2004, Medical physics.

[11]  Dinggang Shen,et al.  An adaptive-focus statistical shape model for segmentation and shape modeling of 3-D brain structures , 2001, IEEE Transactions on Medical Imaging.

[12]  C. Goodall.  Procrustes methods in the statistical analysis of shape , 1991 .

[13]  Jasjit S. Suri,et al.  Rapid motion compensation for prostate biopsy using GPU , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  I. Kaplan,et al.  Real time MRI-ultrasound image guided stereotactic prostate biopsy. , 2002, Magnetic resonance imaging.

[15]  P. Scardino,et al.  The appearance of prostate cancer on transrectal ultrasonography: correlation of imaging and pathological examinations. , 1989, The Journal of urology.

[16]  Sheng Xu,et al.  Fusion of real-time transrectal ultrasound with pre-acquired MRI for multi-modality prostate imaging , 2007, SPIE Medical Imaging.

[17]  Gabor Fichtinger,et al.  Transrectal Prostate Biopsy Inside Closed MRI Scanner with Remote Actuation, under Real-Time Image Guidance , 2002, MICCAI.