UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
SNAPPY Libraries for Surgical Navigation
Abstract
Surgical navigation combines medical imaging, medical image computing, registration, tracking, visualisation, and graphical user interfaces. Researchers working in this area rely on open source platforms that combine functionality in these areas to deliver prototype clinical appl ications. In this talk I will discuss some of these platforms, and our experiences in using them for clinical application development. I wil l then introduce the SNAPPY libraries which form a more loosely coupled set of stand-alone open source Python libraries. The SNAPPY librarie s are intended to support rapid prototyping of clinical application, faster translation from prototype to approved clinical software, and be tter dissemination of research. The established platforms in this field are both large and often difficult to install or compile. It is becoming increasingly hard to recrui t researchers with the skills in C++ development to build clinical software using these platforms. SNAPPY is intended to address these probl ems by providing smaller libraries, written predominantly in Python. Development is accompanied by testing, documentation and quality contro l to ensure that not only can novel applications be prototyped quickly, but that prototypes can be developed into clinical applications in u nder two years. SNAPPY currently consists of 13 libraries providing functionality for visualisation and augmented reality in surgery, together with hardware interface with video, tracking, and ultrasound sources. The libraries are stand-alone, open source, and provide Python interfaces. This des ign approach enables fast development of robust applications with minimal and well managed dependencies.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers Show More
Author
Dept of Med Phys & Biomedical Eng
Author
Dept of Med Phys & Biomedical Eng
Author
Dept of Med Phys & Biomedical Eng
Author
Dept of Med Phys & Biomedical Eng
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by