Emmanuel Promayon

Home Page Research Internship/Stages Teaching Contact

Jump to : Download | Abstract | Keywords | Contact | BibTex reference | EndNote reference |


S. Selmi, E. Promayon, J. Troccaz. Hybrid 2D-3D Ultrasound Registration For Navigated Prostate Biopsy. International Journal of Computer Assisted Radiology and Surgery, 13(7):987-995, July 2018.


Download paper: Doi page (doi)

Download paper: (link)

Copyright notice: Disclaimer: this material is presented to ensure timely dissemination of scholarly and technical work. Files of articles may be covered by copyright. You may browse the articles at your convenience in the same spirit as you may read a journal or conference proceedings in a public library. Retrieving, copying, distributing these files, entirely or in parts, may violate copyright protection laws. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.


Abstract We present a hybrid 2D-3D ultrasound (US) rigid registration method for navigated prostate biopsy that enables continuous localization of the biopsy trajectory during the exam. Current clinical computer-assisted biopsy systems use either sensor-based or image-based approaches. We combine the advantages of both in order to obtain an accurate and real-time navigation based only on an approximate localization of the US probe. Starting with features extracted in both 2D and 3D images, our method introduces a variant of the Iterative Closest Point (ICP) algorithm. Among other differences to ICP, a combination of both the euclidean distance of feature positions and the similarity distance of feature descriptors is used to find matches between 2D and 3D features. The evaluation of the method is twofold. First, an analysis of variance on input parameters is conducted to estimate the sensitivity of our method to their initialization. Secondly, for a selected set of their values, the Target Registration Error (TRE) was calculated on 29,760 (resp. 4,000) registrations in two different experiments. It was obtained using manually identified anatomical fiducials. For 160 US volumes, from 20 patients, recorded during routine biopsy procedures performed in two hospitals by 6 operators, the mean TRE was 3.91 +/- 3.22 mm (resp. 4.37 +/- 2.62 mm)


[ Softtissue ] [ Prostate ]


Emmanuel Promayon http://membres-timc.imag.fr/Emmanuel.Promayon

BibTex Reference

   Author = {Selmi, S. and Promayon, E. and Troccaz, J.},
   Title = {Hybrid 2{D}-3{D} Ultrasound Registration For Navigated Prostate Biopsy},
   Journal = {International Journal of Computer Assisted Radiology and Surgery},
   Volume = {13},
   Number = {7},
   Pages = {987--995},
   Month = {July},
   Year = {2018}

EndNote Reference [help]

Get EndNote Reference (.ref)

Home Page Research Internship/Stages Teaching Contact
This page was automatically generated thanks to JabRef and bib2html , 31 January 2023