@Article{icces.2023.09064,
AUTHOR = {Yue Mei, Stéphane Avril},
TITLE = {Characterizing	Nonhomogeneous	Variation	in	Material	Properties	of	Soft	 Tissues},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {26},
YEAR = {2023},
NUMBER = {3},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v26n3/54053},
ISSN = {1933-2815},
ABSTRACT = {Characterizing	 nonhomogeneous	 variation	in	material	 properties	 of	 soft	 tissues	 has	 wide	 application	in	 biomedical	engineering	and	clinical	medicine,	including	but	not	limited	to	cancerous	disease	detection	and	 patient-specific	surgical	planning	of	cardiovascular	diseases.	With	the	advancement	of	imaging	techniques,	 we	are	capable	of	acquiring	not	only	the	geometry	of	soft	tissues	in	vivo,	but	also	the	associated	deformation	 in	 the	physiological	 state.	With	 the	 obtained	displacement	data,	 the	nonhomogeneous	material	property	 distribution	of	soft	tissues	can	be	determined	by	solving	inverse	problem	in	elasticity.	In	this	presentation,	 we	will	 present	 our	 recent	work	 on	identification	 of	 nonhomogeneous	 property	 distributions	 of	 several	 different	types	of	tissues	or	tissue	mimicking	phantoms.	The	imaging	datasets	are	obtained	experimentally	 from	various	imaging	modalities.		This	presented	work	will	show	the	penitential	feasibility	of	the	state-ofthe-art	imaging	techniques	and	inverse	computational	approaches	on	diseases	diagnosis	in	clinical	practice.},
DOI = {10.32604/icces.2023.09064}
}