MULTISPECTRAL UNMIXING OF FLUORESCENCE MOLECULAR TOMOGRAPHY DATA

2009 ◽  
Vol 02 (04) ◽  
pp. 353-364 ◽  
Author(s):  
MARIA SIMANTIRAKI ◽  
ROSY FAVICCHIO ◽  
STELIOS PSYCHARAKIS ◽  
GIANNIS ZACHARAKIS ◽  
JORGE RIPOLL

Even though multispectral imaging is considered very significant in biological imaging, it is only commonly used in microscopy in a 2D approach. Here, we present a Fluorescence Molecular Tomography system capable of recording simultaneously tomographic data at several spectral windows, enabling multispectral tomography. 3D reconstructed data from several spectral windows is used to construct a linear unmixing algorithm for multispectral deconvolution of overlapping fluorescence signals. The method is applied on tomographic 3D fluorescence concentration maps in tissue-mimicking phantoms, yielding absolute quantification of the concentration of each individual fluorophore. Results are compared to the case when unmixing is performed in the raw 2D data instead of the reconstructed 3D concentration map, showing greater accuracy when unmixing algorithms are applied in the reconstructed data. Both the reflection and transmission geometries are considered.

2014 ◽  
Author(s):  
Yichen Ding ◽  
Xiaohui Zhai ◽  
Guohe Wang ◽  
Qiushi Ren ◽  
Changhui Li

2010 ◽  
Vol 37 (5) ◽  
pp. 1976-1986 ◽  
Author(s):  
Angelique Ale ◽  
Ralf B. Schulz ◽  
Athanasios Sarantopoulos ◽  
Vasilis Ntziachristos

2006 ◽  
Author(s):  
Giannis Zacharakis ◽  
Anikitos Garofalakis ◽  
Stelios Psycharakis ◽  
Heiko Meyer ◽  
Clio Mamalaki ◽  
...  

2010 ◽  
Vol 8 (11) ◽  
pp. 1075-1078 ◽  
Author(s):  
傅建伟 Jianwei Fu ◽  
杨孝全 Xiaoquan Yang ◽  
全国涛 Guotao Quan ◽  
龚辉 Hui Gong

2015 ◽  
Vol 54 (23) ◽  
pp. 7062 ◽  
Author(s):  
Daifa Wang ◽  
Jin He ◽  
Huiting Qiao ◽  
Ping Li ◽  
Yubo Fan ◽  
...  

2007 ◽  
Author(s):  
Stylianos Psycharakis ◽  
Giannis Zacharakis ◽  
Anikitos Garofalakis ◽  
Rosy Favicchio ◽  
Jorge Ripoll

Author(s):  
S. Del Pozo ◽  
P. Rodríguez-Gonzálvez ◽  
L. J. Sánchez-Aparicio ◽  
A. Muñoz-Nieto ◽  
D. Hernández-López ◽  
...  

This paper sums up the main contribution derived from the thesis entitled "<i>Multispectral imaging for the analysis of materials and pathologies in civil engineering, constructions and natural spaces</i>" awarded by CIPA-ICOMOS for its connection with the preservation of Cultural Heritage. This thesis is framed within close-range remote sensing approaches by the fusion of sensors operating in the optical domain (visible to shortwave infrared spectrum). In the field of heritage preservation, multispectral imaging is a suitable technique due to its non-destructive nature and its versatility. It combines imaging and spectroscopy to analyse materials and land covers and enables the use of a variety of different geomatic sensors for this purpose. These sensors collect both spatial and spectral information for a given scenario and a specific spectral range, so that, their smaller storage units save the spectral properties of the radiation reflected by the surface of interest. The main goal of this research work is to characterise different construction materials as well as the main pathologies of Cultural Heritage elements by combining active and passive sensors recording data in different ranges. Conclusions about the suitability of each type of sensor and spectral range are drawn in relation to each particular case study and damage. It should be emphasised that results are not limited to images, since 3D intensity data from laser scanners can be integrated with 2D data from passive sensors obtaining high quality products due to the added value that metric brings to multispectral images.


2012 ◽  
Author(s):  
N. Ramli ◽  
M. N. Ibrahim ◽  
M. Idroas ◽  
F. K. Che Harun ◽  
N. H. Mahmood

Kertas kerja ini menerangkan tentang pembangunan sistem pemacu untuk sensor imej lelurus peranti pengecas gandingan (CCD) dalam system tomografi optik berasaskan perisian LabVIEW. Sensor imej lelurus CCD jenis SONY ILX551A yang mempunyai 2048 piksel yang efektif dengan setiap pixel bersaiz 14 mikron telah digunakan. Sensor ini memerlukan isyarat-isyarat jam (ΦROG dan ΦCLK) yang sesuai sebelum nilai-nilai piksel yang mewakili keamatan optik yang diukur dalam voltan dapat dibaca secara sesiri. Keluaran dari CCD adalah keamatan optik yang diukur dalam unit voltan atau bayangan objek yang memotong alur cahaya iaitu panjang laluan di antara punca cahaya dan sensor CCD. Apabila pepejal menghalang sebahagian laluan optik, bayangan objek akan terpancar ke atas beberapa piksel sensor CCD yang terlibat, dan nilai keluaran didapati. Lokasi objek yang tepat dari isyarat keluaran untuk beberapa keadaan adalah penting untuk mengesahkan isyarat jam adalah sesuai untuk sensor Sony ILX551A. Hasil keputusan menunjukkan isyarat jam pada frekuensi 1MHz yang dikenakan dikenakan kepada sensor CCD Sony ILX551A berjaya dijanakan dan data tomografi mampu diperolehi. Kata kunci: Tomografi optik; LabVIEW; sensor imej linar CCD; unjuran This paper describes the development of LabVIEW based driver for charge-coupled device (CCD) linear image sensor in optical tomography system. The Sony ILX551A CCD linear image sensor contains 2048 effective pixels, each pixel approximately 14 microns in size. The sensor requires suitable clocking signals (ΦROG and ΦCLK) before the pixel values that represent the attenuated optical intensity can be serially read. The output from the CCD is the optical intensity measured in voltage or shadow of the object intercepting the optical beam, pathlength between light source and the CCD linear image sensor. When solid particles blocking certain area of the optical path length, the shadow of the object will be casted on several affected pixels of the linear image sensor, and value on the output signal will be obtained. The exact location of objects on output signal produced for various conditions is important in order to verify the proper clocking signals generated for Sony ILX551A. The results demonstrate that the clocking signal at 1MHz frequency for the CCD Sony ILX551A is successfully generated and capable of acquiring tomographic data. Key words: CCD linear image sensor; LabVIEW; projection; optical tomography


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