Literature DB >> 17354836

Biomechanically based elastic breast registration using mass tensor simulation.

Liesbet Roose1, Wouter Mollemans, Dirk Loeckx, Frederik Maes, Paul Suetens.   

Abstract

We present a new approach for the registration of breast MR images, which are acquired at different time points for observation of lesion evolution. In this registration problem, it is of utmost importance to correct only for differences in patient positioning and to preserve other diagnostically important differences between both images, resulting from anatomical and pathological changes between both acquisitions. Classical free form deformation algorithms are therefore less suited, since they allow too large local volume changes and their deformation is not biomechanically based. Instead of adding constraints or penalties to these methods in order to restrict unwanted deformations, we developed a truly biomechanically based registration method where the position of skin and muscle surface are used as the only boundary conditions. Results of our registration method show an important improvement in correspondence between the reference and the deformed floating image, without introducing physically implausible deformations and within a short computational time.

Entities:  

Mesh:

Year:  2006        PMID: 17354836     DOI: 10.1007/11866763_88

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  4 in total

1.  Generation of a suite of 3D computer-generated breast phantoms from a limited set of human subject data.

Authors:  Christina M L Hsu; Mark L Palmeri; W Paul Segars; Alexander I Veress; James T Dobbins
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

2.  Finite-element modeling of compression and gravity on a population of breast phantoms for multimodality imaging simulation.

Authors:  Gregory M Sturgeon; Nooshin Kiarashi; Joseph Y Lo; E Samei; W P Segars
Journal:  Med Phys       Date:  2016-05       Impact factor: 4.071

3.  Non-rigid registration of breast surfaces using the laplace and diffusion equations.

Authors:  Rowena E Ong; Jao J Ou; Michael I Miga
Journal:  Biomed Eng Online       Date:  2010-02-12       Impact factor: 2.819

4.  Segmentation of the breast skin and its influence in the simulation of the breast compression during an X-ray mammography.

Authors:  J A Solves Llorens; M J Rupérez; C Monserrat; E Feliu; M García; M Lloret
Journal:  ScientificWorldJournal       Date:  2012-05-02
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.