title: Enhancing the performance of model-based elastography by incorporating additional a priori information in the modulus image reconstruction process.
abstract: Model-based elastography is fraught with problems owing to the ill-posed nature of the inverse elasticity problem. To overcome this limitation, we have recently developed a novel inversion scheme that incorporates a priori information concerning the mechanical properties of the underlying tissue structures, and the variance incurred during displacement estimation in the modulus image reconstruction process. The information was procured by employing standard strain imaging methodology, and introduced in the reconstruction process through the generalized Tikhonov approach. In this paper, we report the results of experiments conducted on gelatin phantoms to evaluate the performance of modulus elastograms computed with the generalized Tikhonov (GTK) estimation criterion relative to those computed by employing the un-weighted least-squares estimation criterion, the weighted least-squares estimation criterion and the standard Tikhonov method (i.e., the generalized Tikhonov method with no modulus prior). The results indicate that modulus elastograms computed with the generalized Tikhonov approach had superior elastographic contrast discrimination and contrast recovery. In addition, image reconstruction was more resilient to structural decorrelation noise when additional constraints were imposed on the reconstruction process through the GTK method.
authors.affiliation: Dartmouth Medical School, Dartmouth College, Hanover, NH 03766, USA. marvin.m.doyley@dartmouth.edu
authors.forename: Marvin M
authors.initials: MM
authors.lastname: Doyley
authors.forename: Seshadri
authors.initials: S
authors.lastname: Srinivasan
authors.forename: Eugene
authors.initials: E
authors.lastname: Dimidenko
authors.forename: Nirmal
authors.initials: N
authors.lastname: Soni
authors.forename: Jonathan
authors.initials: J
authors.lastname: Ophir
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001703:Biophysics / Q000379:methods; D003198:Computer Simulation; D003287:Contrast Media / Q000494:pharmacology; D003627:Data Interpretation, Statistical; D004548:Elasticity; D005583:Fourier Analysis; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016018:Least-Squares Analysis; D015233:Models, Statistical; D019047:Phantoms, Imaging
chemical_list: D003287:Contrast Media