MRI/TRUS data fusion for prostate brachytherapy. Preliminary results

Reynier, C; Troccaz, Jocelyne; Fourneret, Philippe; Dusserre, Aurélia; Gay-Jeune, Cécile; Descotes, Jean‐Luc; Bolla, M.; Giraud, Jean-Yves

doi:10.1118/1.1739003

Cited by 97 publications

(82 citation statements)

References 15 publications

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“…However, prostate dose constraints are still verified on MRI+US contours for those 8 patients. This has to be confirmed on a larger number of patients since some preliminary evaluation exhibited cases where the D90 was substantially lower than expected (see [6]). This has also to be confirmed on organs at risk but this requires software modification which is in progress.…”

Section: Discussionmentioning

confidence: 99%

“…Residual surface distance was measured for 11 patients; TRE was evaluated for only 4 of them who were equipped with an endourethral probe making the urethra fully visible on TRUS and MRI modalities. [6] for more details).…”

Section: Fig 2 Mri/trus Fusion For Brachytherapy: (Left) Two Of Thementioning

confidence: 99%

“…Having demonstrated the accuracy of data fusion (see [6]), a study has been undertaken for evaluating the impact of MRI/TRUS data fusion on dose distribution. This on-going work is described in the paper.…”

Section: Introductionmentioning

confidence: 99%

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MRI/TRUS data fusion for brachytherapy

Daanen¹,

Gastaldo²,

Giraud³

et al. 2006

Robotics Computer Surgery

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Background: Prostate brachytherapy consists in placing radioactive seeds for tumour destruction under transrectal ultrasound imaging (TRUS) control. It requires prostate delineation from the images for dose planning. Because ultrasound imaging is patient and operator-dependant, we have proposed to fuse MRI data to TRUS data to make image processing more reliable. Technical accuracy of this approach has already been evaluated. Methods: We present work in progress concerning the evaluation of the approach from the dosimetry viewpoint. The objective is to determine which impact this system may have on the treatment of the patient. Dose planning is performed from initial TRUS prostate contours and evaluated on contours modified by data fusion. Results: For the 8 patients included, we demonstrate that TRUS prostate volume is most often underestimated and that dose is overestimated in a correlated way. However, dose constraints are still verified for those 8 patients.Conclusions: This confirms our initial hypothesis.

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Section: Discussionmentioning

confidence: 99%

Section: Fig 2 Mri/trus Fusion For Brachytherapy: (Left) Two Of Thementioning

confidence: 99%

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MRI/TRUS data fusion for brachytherapy

Daanen¹,

Gastaldo²,

Giraud³

et al. 2006

Robotics Computer Surgery

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“…Several studies show that the use of additional information from MR imaging can reduce inter-observer variability of prostate delineation in CT images or TRUS images and thus improve the treatment planning [20,6]. Moreover, new MR modalities such as MR spectroscopy (MRS), dynamic contrast enhanced MRI (DCE-MRI) with gadolinium injection or lymphotrophic nanoparticle enhanced MRI (LN-MRI) have emerged as new, promising methods for the detection of prostate cancer.…”

Section: Previous Workmentioning

confidence: 99%

Automated segmentation of the prostate in 3D MR images using a probabilistic atlas and a spatially constrained deformable model

Martin

Troccaz

Daanen³

2010

Med. Phys.

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130

101

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Purpose: We present a fully automatic algorithm for the segmentation of the prostate in three-dimensional magnetic resonance (MR) images.Method: Our approach requires the use of an anatomical atlas which is built by computing transformation fields mapping a set of manually segmented images to a common reference. These transformation fields are then applied to the manually segmented structures of the training set in order to get a probabilistic map on the atlas.The segmentation is then realized through a two stage procedure. In the first stage, the processed image is registered to the probabilistic atlas. Subsequently, a probabilistic segmentation is obtained by mapping the probabilistic map of the atlas to the patient's anatomy. In the second stage, a deformable surface evolves towards the prostate boundaries by merging information coming from the probabilistic segmentation, an image feature model and a statistical shape model. During the evolution of the surface, the probabilistic segmentation allows the introduction of a spatial constraint that prevents the deformable surface from leaking in an unlikely configuration. Results:The proposed method is evaluated on 36 exams, that were manually segmented by a single expert. A median Dice similarity coefficient of 0.86 and an average surface error of 2.41 mm are achieved.Conclusion: By merging prior knowledge, the presented method achieves a robust and completely automatic segmentation of the prostate in MR images. Results show that the use of a spatial constraint is useful to increase the robustness of the deformable model comparatively to a deformable surface that is only driven by an image appearance model.

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“…11). Authors (74,75) have shown that fusing preoperative MR to intraoperative US can help to prevent underestimation of prostate volume, especially at the apex and base, with a positive impact on treatment planning.…”

Section: Mr-guided Trus For Prostate Brachytherapymentioning

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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MRI/TRUS data fusion for prostate brachytherapy. Preliminary results

Cited by 97 publications

References 15 publications

MRI/TRUS data fusion for brachytherapy

MRI/TRUS data fusion for brachytherapy

Automated segmentation of the prostate in 3D MR images using a probabilistic atlas and a spatially constrained deformable model

MR‐guided prostate interventions

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