A comparative study of warping and rigid body registration for the prostate and pelvic MR volumes

Fei, Baowei; Kemper, Corey; Wilson, David L.

doi:10.1016/s0895-6111(02)00093-9

Cited by 74 publications

(39 citation statements)

References 32 publications

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“…Although there are numerous deformable algorithms, including, for example, the elastic model (32-34), viscous fluid model (35), optical flow model (5,30,36), finite element model (33,37), and radial basis function models such as the basis spline model (28,38,39) and thin plate spline model (40)(41)(42)(43), a truly robust tool suitable for routine clinical applications is yet to be developed. Each of these approaches has its pros and cons.…”

Section: Discussionmentioning

confidence: 99%

Automated Patient Positioning Guided by Cone-Beam CT for Prostate Radiotherapy

Chao¹

2009

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR'S ACRONYM(S)U.S. Army Medical Research and Materiel Command Fort Detrick, Maryland 21702-5012 SPONSOR/MONITOR'S REPORT NUMBER(S) DISTRIBUTION / AVAILABILITY STATEMENTApproved for Public Release; Distribution Unlimited SUPPLEMENTARY NOTES ABSTRACTModern radiotherapy equipment is capable of delivering high precision conformal dose distributions to the target. However, the target localization especially for soft-tissue target such as prostate is an issue, because of its possible non-rigid internal motion relative to bony structures or external landmarks. Recently, a new technology of kV cone-beam CT (CBCT) has been integrated onboard with the linear accelerator. The prostate target localization could be potentially done more accurately with the aid of the on-board CBCT imager. In this project the PI group developed a novel technique of automatic patient positioning for prostate cancer radiation therapy. A few important milestones have been achieved toward the goal of the project. These include: (i) Established a novel technique to enhance on-board cone-beam CT and to effectively reduce the radiation dose incurred in the scanning process; (ii) Developed a robust registration model with improved metric function; (iii) Developed an innovative narrow shell technique for better target localization and model the critical structure; (iv) Established the method for auto-propagation of contours from planning CT to CBCT based on feature based spline deformable registration. With more evaluations, the automatic patient positioning technique and relevant research outcomes will soon be part of routine practice at Stanford University Hospital. The data and experiences we accumulated in this project are well documented, and server as a good reference for effectively utilizing CBCT imager, and will definitely enhance the outlook of the onboard CBCT in guiding radiation therapy as a whole. SUBJECT TERMS

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Section: Discussionmentioning

confidence: 99%

Automated Patient Positioning Guided by Cone-Beam CT for Prostate Radiotherapy

Chao¹

2009

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“…Control points are manually selected for many TPS applications. 13,25,26 This may introduce interuser variability and is a major source of error. Malsch et al presented an automatic block matching method, 18 which is similar to the control volume based approach proposed by Schreibmann and Xing.…”

Section: Discussionmentioning

confidence: 99%

Feature‐based rectal contour propagation from planning CT to cone beam CT

et al. 2008

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The purpose of this work is to develop a novel feature-based registration strategy to automatically map the rectal contours from planning computed tomography ͑CT͒ ͑pCT͒ to cone beam CT ͑CBCT͒. The rectal contours were manually outlined on the pCT. A narrow band with the outlined contour as its interior surface was then constructed, so that we can exclude the volume inside the rectum in the registration process. The corresponding contour in the CBCT was found by using a feature-based registration algorithm, which consists of two steps: ͑1͒ automatically searching for control points in the pCT and CBCT based on the features of the surrounding tissue and matching the homologous control points using the scale invariance feature transformation; and ͑2͒ using the control points for a thin plate spline transformation to warp the narrow band and mapping the corresponding contours from pCT to CBCT. The proposed contour propagation technique is applied to digital phantoms and clinical cases and, in all cases, the contour mapping results are found to be clinically acceptable. For clinical cases, the method yielded satisfactory results even when there were significant rectal content changes between the pCT and CBCT scans. As a consequence, the accordance between the rectal volumes after deformable registration and the manually segmented rectum was found to be more than 90%. The proposed technique provides a powerful tool for adaptive radiotherapy of prostate, rectal, and gynecological cancers in the future.

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“…The thinplate spline is essentially an interpolation method; it yields a parametric form of a registration transformation function that sends the landmarks in one image to the corresponding landmarks in the other, and at the same time smoothly interpolates this formula to all of the other points in the image. Other authors (56,57) conducted studies on the ability to improve registration results as compared to rigid registration by using a nearly automated combination of thin-plate splines and a mutual information measure of image agreement. Similarly, in Venugopal et al (58) the authors conducted a feasibility study on the use of thin-plate splines to allow the use of MR spectroscopy during prostate cancer therapy.…”

Section: Thin-plate Spline Registrationmentioning

confidence: 99%

MR‐guided prostate interventions

Tempany

Straus

Hata

et al. 2008

Magnetic Resonance Imaging

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In this article the current issues of diagnosis and detection of prostate cancer are reviewed. The limitations for current techniques are highlighted and some possible solutions with MR imaging and MR-guided biopsy approaches are reviewed. There are several different biopsy approaches under investigation. These include transperineal open magnet approaches to closed-bore 1.5T transrectal biopsies. The imaging, image processing, and tracking methods are also discussed. In the arena of therapy, MR guidance has been used in conjunction with radiation methods, either brachytherapy or external delivery. The principles of the radiation treatment, the toxicities, and use of images are outlined. The future role of imaging and image-guided interventions lie with providing a noninvasive surrogate for cancer surveillance or monitoring treatment response. The shift to minimally invasive focal therapies has already begun and will be very exciting when MR-guided focused ultrasound surgery reaches its full potential.

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A comparative study of warping and rigid body registration for the prostate and pelvic MR volumes

Cited by 74 publications

References 32 publications

Automated Patient Positioning Guided by Cone-Beam CT for Prostate Radiotherapy

Automated Patient Positioning Guided by Cone-Beam CT for Prostate Radiotherapy

Feature‐based rectal contour propagation from planning CT to cone beam CT

MR‐guided prostate interventions

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