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This paper introduces a novel robotic assistant system for prostate intervention and the system architecture and workflow are described, which is significant for the design of similar systems. In order to offer higher precision and better real-time performance, a Ultrasound (US)\/Magnetic Resonance Imaging (MRI) fusion method is proposed to guide the procedures in this study. Moreover, image registration is a key step and a hot issue in image fusion, especially in multimodal image fusion. In this work, we adopt a novel registration method based on active demons and optic flow for prostate image fusion. To verify the availability of the system, we evaluate our approach of the US\/MRI image fusion by using data acquired from six patients, and root mean square error (RMSE) for anatomical landmarks is 3.15[Formula: see text]mm. In order to verify the accuracy and validity of the system developed in this paper, a system experimental platform was built and used for bionic tissue puncture of prostate under the guidance of MR and Transrectal Ultrasound (TRUS) fusion images. The experimental results show that the deviations of the final actual needle points of the three target points on the bionic tissue model measured in the laboratory environment are less than 2.5[Formula: see text]mm. <\/jats:p>","DOI":"10.1142\/s0218001420590144","type":"journal-article","created":{"date-parts":[[2019,6,24]],"date-time":"2019-06-24T07:25:47Z","timestamp":1561361147000},"page":"2059014","source":"Crossref","is-referenced-by-count":7,"title":["US\/MRI Guided Robotic System for the Interventional Treatment of Prostate"],"prefix":"10.1142","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2305-0436","authenticated-orcid":false,"given":"Jintao","family":"Bi","sequence":"first","affiliation":[{"name":"Intelligent Machine Institute, Harbin University of Science and Technology, Harbin, P.\u00a0R.\u00a0China"},{"name":"School of Information Engineering, Huangshan University, Huangshan, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongde","family":"Zhang","sequence":"additional","affiliation":[{"name":"Intelligent Machine Institute, Harbin University of Science and Technology, Harbin, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2019,8,26]]},"reference":[{"key":"S0218001420590144BIB001","doi-asserted-by":"publisher","DOI":"10.4103\/0970-1591.203414"},{"key":"S0218001420590144BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2551639"},{"key":"S0218001420590144BIB003","first-page":"1","volume":"7314612","author":"Chang W.","year":"2018","journal-title":"Int. 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