Registration accuracy for MR images of the prostate using a subvolume based registration protocol

Radiation Oncology

Tufve Nyholm¹  Karin Söderström¹  Mikael Karlsson²  Anders Garpebring²  Patrik Brynolfsson²  Joakim H Jonsson² 

[1] Oncology, Department of Radiation Sciences, Umeå University, 90187 Umeå, Sweden;Radiation Physics, Department of Radiation Sciences, Umeå University, 90187 Umeå, Sweden

关键词: cancer;    localized;    subvolume;    radiotherapy;    prostate;    image registration;    MRI;   

Others  :  1224326
DOI  :  10.1186/1748-717X-6-73

 received in 2011-03-21, accepted in 2011-06-16,  发布年份 2011

【 摘 要 】

Background

In recent years, there has been a considerable research effort concerning the integration of magnetic resonance imaging (MRI) into the external radiotherapy workflow motivated by the superior soft tissue contrast as compared to computed tomography. Image registration is a necessary step in many applications, e.g. in patient positioning and therapy response assessment with repeated imaging. In this study, we investigate the dependence between the registration accuracy and the size of the registration volume for a subvolume based rigid registration protocol for MR images of the prostate.

Methods

Ten patients were imaged four times each over the course of radiotherapy treatment using a T2 weighted sequence. The images were registered to each other using a mean square distance metric and a step gradient optimizer for registration volumes of different sizes. The precision of the registrations was evaluated using the center of mass distance between the manually defined prostates in the registered images. The optimal size of the registration volume was determined by minimizing the standard deviation of these distances.

Results

We found that prostate position was most uncertain in the anterior-posterior (AP) direction using traditional full volume registration. The improvement in standard deviation of the mean center of mass distance between the prostate volumes using a registration volume optimized to the prostate was 3.9 mm (p < 0.001) in the AP direction. The optimum registration volume size was 0 mm margin added to the prostate gland as outlined in the first image series.

Conclusions

Repeated MR imaging of the prostate for therapy set-up or therapy assessment will both require high precision tissue registration. With a subvolume based registration the prostate registration uncertainty can be reduced down to the order of 1 mm (1 SD) compared to several millimeters for registration based on the whole pelvis.

【 授权许可】

   
2011 Jonsson et al; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

Figure 2.

Figure 3.

【 参考文献 】

• [1]Chen L, Price RA Jr, Nguyen TB, Wang L, Li JS, Qin L, Ding M, Palacio E, Ma CM, Pollack A: Dosimetric evaluation of MRI-based treatment planning for prostate cancer. Phys Med Biol 2004, 49:5157-5170.
• [2]Chen L, Price RA Jr, Wang L, Li J, Qin L, McNeeley S, Ma CM, Freedman GM, Pollack A: MRI-based treatment planning for radiotherapy: dosimetric verification for prostate IMRT. Int J Radiat Oncol Biol Phys 2004, 60:636-647.
• [3]Jonsson JH, Karlsson MG, Karlsson M, Nyholm T: Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions. Radiat Oncol 5:62.
• [4]Lee YK, Bollet M, Charles-Edwards G, Flower MA, Leach MO, McNair H, Moore E, Rowbottom C, Webb S: Radiotherapy treatment planning of prostate cancer using magnetic resonance imaging alone. Radiother Oncol 2003, 66:203-216.
• [5]Franiel T, Ludemann L, Taupitz M, Bohmer D, Beyersdorff D: MRI before and after external beam intensity-modulated radiotherapy of patients with prostate cancer: the feasibility of monitoring of radiation-induced tissue changes using a dynamic contrast-enhanced inversion-prepared dual-contrast gradient echo sequence. Radiother Oncol 2009, 93:241-245.
• [6]Lee KC, Sud S, Meyer CR, Moffat BA, Chenevert TL, Rehemtulla A, Pienta KJ, Ross BD: An imaging biomarker of early treatment response in prostate cancer that has metastasized to the bone. Cancer Res 2007, 67:3524-3528.
• [7]Jennings D, Hatton BN, Guo J, Galons JP, Trouard TP, Raghunand N, Marshall J, Gillies RJ: Early response of prostate carcinoma xenografts to docetaxel chemotherapy monitored with diffusion MRI. Neoplasia 2002, 4:255-262.
• [8]Song I, Kim CK, Park BK, Park W: Assessment of response to radiotherapy for prostate cancer: value of diffusion-weighted MRI at 3 T. AJR Am J Roentgenol 194:W477-482.
• [9]Carroll PR, Coakley FV, Kurhanewicz J: Magnetic resonance imaging and spectroscopy of prostate cancer. Rev Urol 2006, 8(Suppl 1):S4-S10.
• [10]Khoo VS, Padhani AR, Tanner SF, Finnigan DJ, Leach MO, Dearnaley DP: Comparison of MRI with CT for the radiotherapy planning of prostate cancer: a feasibility study. Br J Radiol 1999, 72:590-597.
• [11]Nyholm T, Nyberg M, Karlsson MG, Karlsson M: Systematisation of spatial uncertainties for comparison between a MR and a CT-based radiotherapy workflow for prostate treatments. Radiat Oncol 2009, 4:54. BioMed Central Full Text
• [12]Kron T, Eyles D, John SL, Battista J: Magnetic resonance imaging for adaptive cobalt tomotherapy: A proposal. J Med Phys 2006, 31:242-254.
• [13]Raaymakers BW, Lagendijk JJ, Overweg J, Kok JG, Raaijmakers AJ, Kerkhof EM, van der Put RW, Meijsing I, Crijns SP, Benedosso F, et al.: Integrating a 1.5 T MRI scanner with a 6 MV accelerator: proof of concept. Phys Med Biol 2009, 54:N229-237.
• [14]Karlsson M, Karlsson MG, Nyholm T, Amies C, Zackrisson B: Dedicated magnetic resonance imaging in the radiotherapy clinic. Int J Radiat Oncol Biol Phys 2009, 74:644-651.
• [15]Maes F, Collignon A, Vandermeulen D, Marchal G, Suetens P: Multimodality image registration by maximization of mutual information. IEEE Trans Med Imaging 1997, 16:187-198.
• [16]Pluim JP, Maintz JB, Viergever MA: Mutual-information-based registration of medical images: a survey. IEEE Trans Med Imaging 2003, 22:986-1004.
• [17]Makela T, Clarysse P, Sipila O, Pauna N, Pham QC, Katila T, Magnin IE: A review of cardiac image registration methods. IEEE Trans Med Imaging 2002, 21:1011-1021.
• [18]van Herk M: Different styles of image-guided radiotherapy. Semin Radiat Oncol 2007, 17:258-267.
• [19]Coselmon MM, Balter JM, McShan DL, Kessler ML: Mutual information based CT registration of the lung at exhale and inhale breathing states using thin-plate splines. Med Phys 2004, 31:2942-2948.
• [20]Ellingsen LM, Chintalapani G, Taylor RH, Prince JL: Robust deformable image registration using prior shape information for atlas to patient registration. Comput Med Imaging Graph 34:79-90.
• [21]van der Put RW, Kerkhof EM, Raaymakers BW, Jurgenliemk-Schulz IM, Lagendijk JJ: Contour propagation in MRI-guided radiotherapy treatment of cervical cancer: the accuracy of rigid, non-rigid and semi-automatic registrations. Phys Med Biol 2009, 54:7135-7150.
• [22]Balter JM, Sandler HM, Lam K, Bree RL, Lichter AS, ten Haken RK: Measurement of prostate movement over the course of routine radiotherapy using implanted markers. Int J Radiat Oncol Biol Phys 1995, 31:113-118.
• [23]Smitsmans MH, Wolthaus JW, Artignan X, de Bois J, Jaffray DA, Lebesque JV, van Herk M: Automatic localization of the prostate for on-line or off-line image-guided radiotherapy. Int J Radiat Oncol Biol Phys 2004, 60:623-635.
• [24]Smitsmans MH, de Bois J, Sonke JJ, Betgen A, Zijp LJ, Jaffray DA, Lebesque JV, van Herk M: Automatic prostate localization on cone-beam CT scans for high precision image-guided radiotherapy. Int J Radiat Oncol Biol Phys 2005, 63:975-984.
• [25]McLaughlin PW, Narayana V, Kessler M, McShan D, Troyer S, Marsh L, Hixson G, Roberson PL: The use of mutual information in registration of CT and MRI datasets post permanent implant. Brachytherapy 2004, 3:61-70.
• [26]Chao M, Xie Y, Xing L: Auto-propagation of contours for adaptive prostate radiation therapy. Phys Med Biol 2008, 53:4533-4542.
• [27]Wang H, Garden AS, Zhang L, Wei X, Ahamad A, Kuban DA, Komaki R, O'Daniel J, Zhang Y, Mohan R, Dong L: Performance evaluation of automatic anatomy segmentation algorithm on repeat or four-dimensional computed tomography images using deformable image registration method. Int J Radiat Oncol Biol Phys 2008, 72:210-219.
• [28]Jonsson JH, Garpebring A, Karlsson MG, Nyholm T: Internal Fiducial Markers and Susceptibility Effects in MRI-Simulation and Measurement of Spatial Accuracy. Int J Radiat Oncol Biol Phys 2011, in press.