no code implementations • 11 Mar 2024 • Bastian Wittmann, Lukas Glandorf, Johannes C. Paetzold, Tamaz Amiranashvili, Thomas Wälchli, Daniel Razansky, Bjoern Menze
Segmentation of blood vessels in murine cerebral 3D OCTA images is foundational for in vivo quantitative analysis of the effects of neurovascular disorders, such as stroke or Alzheimer's, on the vascular network.
1 code implementation • 17 Jun 2022 • Firat Ozdemir, Berkan Lafci, Xosé Luís Deán-Ben, Daniel Razansky, Fernando Perez-Cruz
However, no standardized datasets generated with different types of experimental set-up and associated processing methods are available to facilitate advances in broader applications of OA in clinical settings.
no code implementations • 4 Sep 2021 • Yexing Hu, Berkan Lafci, Artur Luzgin, Hao Wang, Jan Klohs, Xose Luis Dean-Ben, Ruiqing Ni, Daniel Razansky, Wuwei Ren
Multi-spectral optoacoustic tomography (MSOT) is an emerging optical imaging method providing multiplex molecular and functional information from the rodent brain.
no code implementations • 26 Jul 2017 • Jaya Prakash, Subhamoy Mandal, Daniel Razansky, Vasilis Ntziachristos
The aim of the work is to develop an inversion method which reduces the occurrence of negative values and improves the quantitative performance of optoacoustic imaging.
no code implementations • 28 Oct 2015 • Subhamoy Mandal, Xosé Luís Deán-Ben, Daniel Razansky
Segmentation has been further shown to enhance the reconstruction performance in many tomographic imaging modalities by accounting for heterogeneities of the excitation field and tissue properties in the imaged region.
no code implementations • 9 Jun 2015 • Subhamoy Mandal, Viswanath Pamulakanty Sudarshan, Yeshaswini Nagaraj, Xose Luis Dean Ben, Daniel Razansky
In this article, we present a novel scheme for segmenting the image boundary (with the background) in optoacoustic small animal in vivo imaging systems.