Enhancing In-Vitro IVUS Data for Tissue Characterization

2009 ◽  
pp. 241-248 ◽  
Author(s):  
Francesco Ciompi ◽  
Oriol Pujol ◽  
Oriol Rodriguez Leor ◽  
Carlo Gatta ◽  
Angel Serrano Vida ◽  
...  
Keyword(s):  
Tissue Characterization

Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization

2016 ◽  
Vol 32 ◽  
pp. 1-17 ◽  
Author(s):  
Sailesh Conjeti ◽  
Amin Katouzian ◽  
Abhijit Guha Roy ◽  
Loïc Peter ◽  
Debdoot Sheet ◽  
...  
Keyword(s):  
Intravascular Ultrasound ◽  
Tissue Characterization ◽  
Domain Adaptation ◽  
Ultrasound Tissue Characterization

Applicability of photoacoustic measurement for biomechanical characterization: from in vitro engineered tissue characterization to in vivo diagnosis

2004 ◽  
Author(s):  
Miya Ishihara ◽  
Masato Sato ◽  
Shunichi Sato ◽  
Toshiyuki Kikuchi ◽  
Masayuki Ishihara ◽  
...  
Keyword(s):  
Tissue Characterization ◽  
Engineered Tissue ◽  
Photoacoustic Measurement ◽  
In Vivo Diagnosis

Myocardial Tissue Characterization Using Pattern Recognition Procedures on Backscattered Ultrasonic Signals

1986 ◽  
Vol 8 (3) ◽  
pp. 181-195
Author(s):  
R.A.G. Dyer ◽  
S.A. Dyer ◽  
P.K. Bhagat
Keyword(s):  
Pattern Recognition ◽  
Minimum Distance ◽  
Tissue Characterization ◽  
Nearest Neighbor ◽  
Myocardial Tissue ◽  
Ultrasonic Signals ◽  
Pattern Recognition Techniques ◽  
Myocardial Tissue Characterization ◽  
Backscattered Signals

Pattern recognition techniques were applied to backscattered signals obtained in vitro from normal and abnormal canine and human heart samples. Orthogonal transforms, in conjunction with the variance criterion, comprised the feature extractors. The minimum-distance (MD) and nearest-neighbor (NN) rules were used as classifiers. When the MD rule was used, the magnitude of the DFT gave the best performance for both canine and human samples. When the NN rule was used, all the transforms performed comparably. The classification performances were improved for both species when the NN rule was used with feature extractors containing phase information.

Application of Neural Networks for the Analysis of Intravascular Ultrasound and Histological Aortic Wall Appearance—An In Vitro Tissue Characterization Study

2008 ◽  
Vol 34 (1) ◽  
pp. 103-113 ◽  
Author(s):  
Lukasz Chrzanowski ◽  
Jaroslaw Drozdz ◽  
Michal Strzelecki ◽  
Maria Krzeminska-Pakula ◽  
Kazimierz S. Jedrzejewski ◽  
...  
Keyword(s):  
Neural Networks ◽  
Intravascular Ultrasound ◽  
Tissue Characterization ◽  
Aortic Wall ◽  
Characterization Study

scholarly journals Computer-aided tissue characterization using ultrasound-induced thermal effects: analytical formulation and in-vitro animal study

2011 ◽  
Author(s):  
Mohammad I. Daoud ◽  
Parvin Mousavi ◽  
Farhad Imani ◽  
Robert Rohling ◽  
Purang Abolmaesumi
Keyword(s):  
Animal Study ◽  
Thermal Effects ◽  
Tissue Characterization ◽  
Analytical Formulation ◽  
Computer Aided

In vitro ultrasonic tissue characterization for evaluation of hepatic diseases

2003 ◽  
Author(s):  
A. Abdelwahab ◽  
M. Meziri ◽  
W.C.A. Pereira ◽  
L. Bridal ◽  
C. Degott ◽  
...  
Keyword(s):  
Tissue Characterization ◽  
Hepatic Diseases
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