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2012 Proceedings - International Tissue Elasticity Conference

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079 REAL–TIME STRAIN IMAGING OF THE PROSTATE USING THE ABLATHERM® HIFU DEVICE.<br />

Lucie Brasset 1 , Remi Souchon 1 , Stefan Catheline 1 , Jean–Yves Chapelon 1 , Albert Gelet 2 ,<br />

Olivier Rouviere 2 .<br />

1 INSERM, Laboratory of Therapeutic Applications of Ultrasound (LabTAU), Lyon, FRANCE;<br />

2 Hospices Civils de Lyon, Edouard Herriot Hospital, Department of Urology, Lyon, FRANCE.<br />

Background: Transrectal high–intensity focused ultrasound (HIFU) has become a reasonable option for the<br />

treatment of prostate cancer, with 5–year disease–free survival similar to that of radiotherapy. However,<br />

future improvements are desirable in patient selection, localization of the tumor foci, assessment of the<br />

volume treated and early detection of recurrence [1]. Previous studies demonstrated that strain imaging has<br />

the potential to detect cancer foci [2] and HIFU lesions [3]. However, image quality in vivo was suboptimal<br />

because acquisition frame rates were low and real time capabilities were missing.<br />

Aims: Develop a fast, real time and stable strain imaging system that can be used during HIFU therapy of the<br />

prostate. We hypothesized that high quality strain imaging of the prostate was feasible through the<br />

combination of high acquisition frame rate and stable probe positioning (to minimize undesired motion),<br />

directional compression (to ensure that the principal direction of displacements coincides with the direction of<br />

propagation of the ultrasound beam) and real time feedback (allowing the visual assessment of consistency<br />

between consecutive images and corrective action whenever image quality was deemed unsatisfactory).<br />

Methods: Axial images of the prostate were acquired before and after HIFU treatment in five patients.<br />

Strain imaging was performed using the transrectal imaging probe integrated in the Ablatherm® HIFU<br />

device (Edap–TMS, Vaulx–en–Velin, France) and a Hawk 2102EXL scanner (B&K Medical, Herlev,<br />

Denmark) equipped with a research interface. The transrectal probe was attached to a motorized table,<br />

thus ensuring stability of the system, and covered with a balloon. The balloon was filled with a coupling<br />

liquid to provide acoustic coupling. Prostate compression was performed by filling the balloon. Strain<br />

images were calculated and displayed in real time using a time–domain cross–correlation algorithm [4]<br />

running on an 8–core computer. The algorithm uses pre–calculated sums to speed–up the calculation [5].<br />

Results: The strain imaging system was capable of imaging the prostate in real time, with a frame rate up<br />

to 60 frames per second. Excellent correlation (>0.95) was obtained in most parts of the gland, except in<br />

highly hypoechoic areas. The zonal anatomy of the prostate was clearly visible in the strain images in all<br />

patients, with a soft peripheral zone and a stiff transition zone. These features were consistent with those<br />

previously observed in vitro [2].<br />

Conclusions: The system provided high–quality strain images of the prostate in all patients. Future work<br />

is now needed to assess the performance of the system for cancer foci detection and for the assessment of<br />

the treated volume.<br />

Acknowledgements: The authors gratefully acknowledge EDAP–TMS for technical support.<br />

References:<br />

[1] Rouviere O et al.: Transrectal High–Intensity Focused Ultrasound Ablation of Prostate Cancer: Effective<br />

Treatment Requiring Accurate Imaging. Eur J Radiology, 63, pp. 317–327 2007.<br />

[2] Souchon R et al.: Human Prostate Elastography: In Vitro Study. Proc IEEE Ultrasonics Symp, pp. 1251–1253; 2003.<br />

[3] Souchon R et al.: Visualisation of HIFU Lesions using Elastography of the Human Prostate In Vivo: Preliminary<br />

Results. Ultrasound Med Bio, 29(7), pp. 1007–1015, 2003.<br />

[4] Zahiri–Azar R and Salcudean SE: Motion Estimation in Ultrasound Images using Time Domain Cross Correlation<br />

with Prior Estimates. IEEE Transactions on Biomedical Engineering, 53(10), pp. 1990–2000 2006.<br />

[5] Luo J and Konofagou EE: A Fast Normalized Cross–Correlation Calculation Method for Motion Estimation. IEEE<br />

Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 57(6), pp. 1347–1357, 2010.<br />

Figure 1: The system provided high–quality strain images, as illustrated by these typical sonogram and strain images.<br />

Displacement (upper right) and cross–correlation (lower right) images were displayed in real time and were used for<br />

quality control, demonstrating consistent displacements and high (>0.95) correlation.<br />

48<br />

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