Development of a handheld near-infrared imager for dynamic characterization of in vivo biological tissue systems

2007 ◽  
Vol 46 (30) ◽  
pp. 7442 ◽  
Author(s):  
Ronald X. Xu ◽  
Bo Qiang ◽  
Jimmy J. Mao ◽  
Stephen P. Povoski
1993 ◽  
Vol 15 (3) ◽  
pp. 238-254 ◽  
Author(s):  
Tomy Varghese ◽  
Kevin D. Donohue

Characterization of tissue microstructure from the backscattered ultrasound signal using the spectral autocorrelation (SAC) function provides information about the scatterer distribution in biological tissue. This paper demonstrates SAC capabilities in characterizing periodicities in A-scans due to regularity in the scatterer distribution. The A-scan is modelled as a cyclostationary signal, where the statistical parameters of the signal vary in time with single or multiple periodicities. This periodicity manifests itself as spectral peaks both in the power spectral density (PSD) and in the SAC. Periodicity in the PSD will produce a well defined dominant peak in the cepstrum, which has been used to determine the scatterer spacing. The relationship between the scatterer spacing and the spacing of the spectral peaks is established using a stochastic model of the echo-formation process from biological tissue. The distribution of the scatterers within the microstructure is modelled using a Gamma function, which offers a flexible method of simulating parametric regularity in the scatterer spacing. Simulations of the tissue microstructure for lower orders of regularity indicate that the SAC components reveal information about the scatterer spacing that are not seen in the PSD and the cepstrum. The echo-formation process is tested by simulating microstructure of varying regularity and analyzing their effect on the SAC, PSD and cepstrum. Experimental validation of the simulation results are provided using in vivo scans of the breast and liver tissue that show the presence of significant spectral correlation components in the SAC.


2016 ◽  
Vol 87 (6) ◽  
pp. 065112 ◽  
Author(s):  
Danial Chitnis ◽  
Dimitrios Airantzis ◽  
David Highton ◽  
Rhys Williams ◽  
Phong Phan ◽  
...  

2010 ◽  
Vol 15 (4) ◽  
pp. 046001 ◽  
Author(s):  
Joey Enfield ◽  
Marie-Louise O’Connell ◽  
Kate Lawlor ◽  
Enock Jonathan ◽  
Conor O’Mahony ◽  
...  

2010 ◽  
Vol 22 (22) ◽  
pp. 6117-6124 ◽  
Author(s):  
E. Cassette ◽  
T. Pons ◽  
C. Bouet ◽  
M. Helle ◽  
L. Bezdetnaya ◽  
...  

2005 ◽  
Vol 4 (5) ◽  
pp. 483-496 ◽  
Author(s):  
Herbert Rinneberg ◽  
Dirk Grosenick ◽  
K. Thomas Moesta ◽  
Jörg Mucke ◽  
Bernd Gebauer ◽  
...  

Optical mammography is one of several new techniques for breast cancer detection and characterization presently under development for clinical use that provide information other than morphologic, in particular on the biochemical and metabolic state of normal and diseased tissue. In breast tissue, scattering of red to near infrared (NIR) light dominates absorption and NIR light may penetrate several centimeters through the breast. Optical mammography avoids the use of ionizing radiation and offers the power of diffuse optical spectroscopy. However, because of strong light scattering, spatial resolution of optical mammography is generally low. The paper reviews the results of a clinical study on scanning time-domain optical mammography comprising 154 patients carrying a total of 102 carcinomas validated by histology. Ninety two of these tumors were detected in optical mammograms retrospectively and for 87 of the detected tumors optical properties and tissue parameters were derived. In addition developments on instrumentation and data analysis are covered and possible improvements of optical mammography are briefly discussed.


Sign in / Sign up

Export Citation Format

Share Document