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| Author : Mr. Ng Choong
Kheng
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Figure 1. Proposed surgical planner flow.
The flow-chart of the proposed Surgical Planner to use HIFU to treat prostate cancer is shown in Figure 1. Pre-operatively, slices of MRS prostate images of the patient are stored into the imaging processing/path planning module in the computer. In the intra-operative treatment, the patient lies in the supine position on the operating table with both legs lifted up. A specially designed robot houses the Transrectal Ultrasound (TRUS) probe and the HIFU transducer. The robot first manipulates the TRUS probe to scan the prostate to obtain a series of 2D transverse ultrasound images. These images are captured at defined intervals as the probe is traversed linearly in and out of the rectum. A 3D model of the prostate can be developed using these ultrasound images. This model is then mapped with a similar model obtained from the earlier MRS images. With knowledge of the cancerous sites in the prostate, the surgeon then defines the target position within the prostate where he wants the HIFU transducer to focus on.
After the target has been defined, the computer commands the robot to manipulate the HIFU transducer such that its focus point coincides with the defined target position. A water bag (with degassed water) is placed between the perineal wall and the HIFU transducer to enable the effective transmission of the HIFU beam. The HIFU beam is then fired at the target for a few seconds. Following this, the water bag is taken away and the HIFU transducer moves back to its home position. The cycle is repeated for every target point defined by the surgeon.
The objectives of the project are as follows:
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Localization of prostate cancer with MRS
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Development of a HIFU robot with TRUS. | |
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Non-invasive temperature rise estimation. |
From the MRS images, the locations of the prostate cancer can be obtained pre-operatively. By stacking the images in series (Figure 2 b), a computer generated volume of the prostate can be obtained showing the locations of the cancer (Figure 2 c). This volume can be match with the intra-operative transrectal ultrasound volume of the prostate obtained from the same patient. The resulting matched volume (Figure 2 d) shows the positions of the prostate cancer with respect to the ultrasound probe. This information can then be used to position the HIFU transducer.
Therefore, the images guidance provides more accuracy and
requires less skill from the practitioner. With the pre-operative MRS
introduced, the prostate surface and cancer locations can be identified quickly
in the intra-operative ultrasound images.
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| (a) Series of Ultrasound Images | (b) Series of MRS Images |
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| (c) Outlined Curves | (d) Reconstructed Surface |
Figure 2. Corresponding Ultrasound and MRS
images.
In our laboratory, a robotic
system (Figure 3
) was specially designed to position a HIFU transducer to treat prostate cancer
via the transperineal route. The robot is made up of 3 modules; Firing
Positioner, Imaging and Manipulator modules. The Firing Positioner module
comprises of the HIFU transducer and its manipulator. The aim of this module is
to accurately position the HIFU transducer to fire at the specific cancerous
location in the prostate gland. The Imaging module carries the TRUS probe for
localization purposes. The Manipulator module positions the Firing Positioner
and Imaging modules with respect to the patient.
Two dimensional ultrasound
images will first be captured by means of a TRUS probe. Knowing the relative
positions of these images with respect to the probe, a three dimensional model
of the prostate can be produced. With this model, the surgeon can manually
pinpoint the areas of interest in the prostate. Recent advances in imaging
technology seem to give the possibilities of using MRS to determine the
locations of cancerous tumours in the prostate. Having defined the area of
interest in the prostate, the robot is activated to automatically position the
focal point of the HIFU beam at the particular point in the prostate.
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Figure 3. Proposed HIFU
robot.
Besides real-time imaging, an
ideal robotic system should also provide the surgeon with updated temperature
profile estimates, so that information of the region being treated as well as
the delivered treatment can be readily monitored. Recent results from a number
of research groups have suggested the use of MRI, impedance tomography,
microwave radiometry, and backscattered ultrasound for non-invasive temperature
estimation. Our group is especially interested in using ultrasound to estimate
temperature.
The major advantages of using
ultrasound are:
| Relatively low cost, | |
| Real-time data collection and signal processing, | |
| Deep penetration inside the body, | |
| Good spatial and temporal localization, | |
| Compatibility with the ultrasound technology used for
generating the therapeutic beam. |
Among the ultrasound techniques,
different approaches have been suggested to estimate temperature changes:
| Analysis of the frequency dependent attenuation, | |
| Backscattered power, | |
| Speed of sound and thermal expansion. |
Our group plans to investigate
the possibility of using these techniques to monitor the rise in temperature
cause by the HIFU transducer. In doing so, we plan to develop a close loop
temperature monitoring system to better control the treatment of prostate cancer
using HIFU.
We would be glad if you could sign our guest book.
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For more information, please contact the principal investigator:
A/P Ng Wan Sing
School of Mechanical & Aerospace Engineering
Nanyang Technological University
Nanyang Avenue, Singapore 639798
Fax:(65) 6791 1859