Spatiospectral denoising framework for multispectral optoacoustic imaging based on sparse signal representation

Tzoumas S, Rosenthal A, Lutzweiler C, Razansky D, Ntziachristos V (2014)

Publication Type: Journal article

Publication year: 2014

Journal

Medical Physics Wiley

Book Volume: 41

Article Number: 113301

Journal Issue: 11

DOI: 10.1118/1.4893530

Abstract

Purpose: One of the major challenges in dynamic multispectral optoacoustic imaging is its relatively low signal-to-noise ratio which often requires repetitive signal acquisition and averaging, thus limiting imaging rate. The development of denoising methods which prevent the need for signal averaging in time presents an important goal for advancing the dynamic capabilities of the technology.

Involved external institutions

Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (HMGU) / Helmholtz Munich DE Germany (DE)

How to cite

APA:

Tzoumas, S., Rosenthal, A., Lutzweiler, C., Razansky, D., & Ntziachristos, V. (2014). Spatiospectral denoising framework for multispectral optoacoustic imaging based on sparse signal representation. Medical Physics, 41(11). https://dx.doi.org/10.1118/1.4893530

MLA:

Tzoumas, Stratis, et al. "Spatiospectral denoising framework for multispectral optoacoustic imaging based on sparse signal representation." Medical Physics 41.11 (2014).

BibTeX: Download