A new method for generating poroelastograms in noisy environments.
Poroelastography has been recently introduced as a new elastographic technique that may be used to describe the spatial and temporal behavior of poroelastic materials. The experimental methodology proposed thus far for phantoms and tissues in vitro requires the acquisition of a precompression rf frame, the application of a unit step strain compression to the sample and the acquisition of subsequent post-compression frames from the material. Elastograms and poroelastograms are generated by cross-correlating the sequentially-acquired postcompression frames with the reference precompression frame. The application of poroelastography to tissues in vivo must address the echo decorrelation problems that are encountered due to uncontrolled tissue motion, which may become significant shortly after the acquisition of the precompression frame. In this paper, we investigate the feasibility of performing poroelastography experiments using an alternative experimental scheme. In the proposed experimental methodology, the reference precompression frame is continuously moved while the time interval between the frames that are correlated is kept short. This allows long data acquisition times with simultaneous minimization of the decorrelation due to undesired tissue motion in vivo. We validated this new method using both a step and a ramp compression functions. We performed poroelastographic simulations and experiments in phantoms and in tissues in vivo. The results were compared to those obtained using the traditional acquisition methodology. This study shows that the two methods yield similar results in vitro and suggests that the new method may be more robust to decorrelation noise in applications in vivo.
Righetti
Raffaella
R
The University of Texas Medical School, Department of Diagnostic and Interventional Imaging, Ultrasonics Laboratory, 6431 Fannin St. Houston, TX 77030, USA.
Ophir
Jonathan
J
Garra
Brian S
BS
Chandrasekhar
Rajah M
RM
Krouskop
Thomas A
TA
D001132:Arm / Q000000981:diagnostic imaging; D016477:Artifacts; D003198:Computer Simulation; D004548:Elasticity; D005240:Feasibility Studies; D006801:Humans; D008209:Lymphedema / Q000000981:diagnostic imaging; D008954:Models, Biological; D008962:Models, Theoretical; D019047:Phantoms, Imaging; D016062:Porosity; D011312:Pressure; D013314:Stress, Mechanical; D014465:Ultrasonics; D014463:Ultrasonography / Q000379:methods*