eISSN: 2081-2841
ISSN: 1689-832X
Journal of Contemporary Brachytherapy
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1/2011
vol. 3
 
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abstract:

Clinical Investigations
Interactive, multi-modality image registrations for combined MRI/MRSI-planned HDR prostate brachytherapy

Galen Reed
,
J. Adam Cunha
,
Susan Noworolski
,
John Kurhanewicz
,
Daniel Vigneron
,
I-Chow Hsu
,
Jean Pouliot

J Contemp Brachyther 2011; 3, 1: 26-31
Online publish date: 2011/03/31
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Purpose : This study presents the steps and criteria involved in the series of image registrations used clinically during the planning and dose delivery of focal high dose-rate (HDR) brachytherapy of the prostate.

Material and methods : Three imaging modalities – Magnetic Resonance Imaging (MRI), Magnetic Resonance Spectroscopic Imaging (MRSI), and Computed Tomography (CT) – were used at different steps during the process. MRSI is used for identification of dominant intraprosatic lesions (DIL). A series of rigid and nonrigid transformations were applied to the data to correct for endorectal-coil-induced deformations and for alignment with the planning CT. Mutual information was calculated as a morphing metric. An inverse planning optimization algorithm was applied to boost dose to the DIL while providing protection to the urethra, penile bulb, rectum, and bladder. Six prostate cancer patients were treated using this protocol.

Results : The morphing algorithm successfully modeled the probe-induced prostatic distortion. Mutual information calculated between the morphed images and images acquired without the endorectal probe showed a significant (p = 0.0071) increase to that calculated between the unmorphed images and images acquired without the endorectal probe. Both mutual information and visual inspection serve as effective diagnostics of image morphing. The entire procedure adds less than thirty minutes to the treatment planning.

Conclusion : This work demonstrates the utility of image transformations and registrations to HDR brachytherapy of prostate cancer.
keywords:

MRSI, HDR, prostate, image registration

 
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