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Automated prostate recognition: a key process for clinically effective robotic prostatectomy

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Abstract

Clinical trials of PROBOT, a robotic system for prostate surgery, have shown that robotic surgery of soft tissue can be successful. Monitoring of the progress of the resection has shown to be a necessary feature of an effective robotic system for prostate surgery. It should provide the surgeon with a reliable method of assessing the cavity during resection. An automatic system for intraoperative monitoring of the progress of the resection during robotic prostatectomy consists of two subsystems: real-time intraoperative imaging of the prostate and automatic identification of the contour of the gland on each image. The development of a fully automatic scheme for prostate recognition on transurethral ultrasound scans is reported. A genetic algorithm has been developed to automatically adjust a model of the prostate boundary until an optimum fit to the prostate in a given image is obtained. An analysis of its performance on 22 different ultrasound images showed an average error of 6.21 mm. Use of a genetic algorithm and a constrained prostate model have shown to be a robust way to automatically identify the prostate in ultrasound images. The scheme is able to produce approximate prostate boundaries, without any human intervention, on ultrasound scans of varying quality. In addition to soft tissue robotic surgery, the genetic algorithm technique is also applicable to a wide range of computer assisted surgical techniques.

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Authors and Affiliations

  1. Centro de Instrumentos, UNAM, 04510, México, D.F.

    F. Arámbula Cosío

  2. Mechanical Engineering Department, Imperial College, SW7 2BX, London, UK

    B. L. Davies

Authors
  1. F. Arámbula Cosío
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  2. B. L. Davies
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Correspondence to F. Arámbula Cosío.

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Arámbula Cosío, F., Davies, B.L. Automated prostate recognition: a key process for clinically effective robotic prostatectomy. Med. Biol. Eng. Comput. 37, 236–243 (1999). https://doi.org/10.1007/BF02513292

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  • DOI: https://doi.org/10.1007/BF02513292

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