Noise suppressed, multifocus image fusion for enhanced intraoperative navigation. Issue 4 (6th August 2012)

• Record Type: Journal Article
• Authors: Feruglio, Paolo Fumene; Vinegoni, Claudio; Fexon, Lioubov; Thurber, Greg; Sbarbati, Andrea; Weissleder, Ralph
• Is Part Of: Journal of biophotonics. Volume 6:Issue 4(2013:Apr.)
• Page Start: 363
• Page End: 370
• Publication Date: 2012-08-06
• Subjects: Photonics -- Periodicals; Optical materials -- Periodicals; Optics -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3605
• DOI: 10.1002/jbio.201200086
• Languages: English
• ISSNs: 1864-063X

Abstract

<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p>Current intraoperative imaging systems are typically not able to provide 'sharp' images over entire large areas or entire organs. Distinct structures such as tissue margins or groups of malignant cells are therefore often difficult to detect, especially under low signal‐to‐noise‐ratio conditions. In this report, we introduce a noise suppressed multifocus image fusion algorithm, that provides detailed reconstructions even when images are acquired under sub‐optimal conditions, such is the case for real time fluorescence intraoperative surgery. The algorithm makes use of the Anscombe transform combined with a multi‐level stationary wavelet transform with individual threshold‐based shrinkage. While the imaging system is integrated with a respiratory monitor triggering system, it can be easily adapted to any commercial imaging system. The developed algorithm is made available as a plugin for Osirix. (© 2013 WILEY‐VCH Verlag GmbH &amp; Co. KGaA, Weinheim)</p> </abstract>