Literature DB >> 11836132

Methods for modeling and predicting mechanical deformations of the breast under external perturbations.

Fred S Azar1, Dimitris N Metaxas, Mitchell D Schnall.   

Abstract

Currently, high field (1.5 T) superconducting MR imaging does not allow live guidance during needle breast procedures. The current procedure allows the physician only to calculate approximately the location and extent of a cancerous tumor in the compressed patient breast before inserting the needle. It can then become relatively uncertain that the tissue specimen removed during the biopsy actually belongs to the lesion of interest. A new method for guiding clinical breast biopsy is presented, based on a deformable finite element model of the breast. The geometry of the model is constructed from MR data, and its mechanical properties are modeled using a non-linear material model. This method allows imaging the breast without or with mild compression before the procedure, then compressing the breast and using the finite element model to predict the tumor's position during the procedure. A silicon phantom containing a stiff inclusion was imaged uncompressed then compressed. A model of the phantom was constructed and compressed using custom-written software, and also using a commercial FEM simulation package. The displacement of the inclusion's corners was recorded both in the real phantom and in the two compressed models. A patient's breast was imaged uncompressed then compressed. A deformable model of the uncompressed breast was constructed, then compressed. The displacement of a cyst and of two vitamin E pills taped to the surface of the breast were recorded both in the real and in the modeled breast. The entire procedure lasted less than a half-hour, making it clinically useful. The results show that it is possible to create a deformable model of the breast based on finite elements with non-linear material properties, capable of modeling and predicting breast deformations in a clinically useful amount of time.

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Year:  2002        PMID: 11836132     DOI: 10.1016/s1361-8415(01)00053-6

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  14 in total

1.  An analysis of the mechanical parameters used for finite element compression of a high-resolution 3D breast phantom.

Authors:  Christina M L Hsu; Mark L Palmeri; W Paul Segars; Alexander I Veress; James T Dobbins
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

2.  A novel simulation algorithm for soft tissue compression.

Authors:  Christos Zyganitidis; Kristina Bliznakova; Nicolas Pallikarakis
Journal:  Med Biol Eng Comput       Date:  2007-06-06       Impact factor: 2.602

3.  Breast tissue stiffness estimation for surgical guidance using gravity-induced excitation.

Authors:  Rebekah H Griesenauer; Jared A Weis; Lori R Arlinghaus; Ingrid M Meszoely; Michael I Miga
Journal:  Phys Med Biol       Date:  2017-05-18       Impact factor: 3.609

4.  Toward Semi-autonomous Cryoablation of Kidney Tumors via Model-Independent Deformable Tissue Manipulation Technique.

Authors:  Farshid Alambeigi; Zerui Wang; Yun-Hui Liu; Russell H Taylor; Mehran Armand
Journal:  Ann Biomed Eng       Date:  2018-06-19       Impact factor: 3.934

5.  In-vivo quantification of human breast deformation associated with the position change from supine to upright.

Authors:  Hamed Khatam; Gregory P Reece; Michelle C Fingeret; Mia K Markey; Krishnaswamy Ravi-Chandar
Journal:  Med Eng Phys       Date:  2014-10-19       Impact factor: 2.242

6.  Computational simulation of breast compression based on segmented breast and fibroglandular tissues on magnetic resonance images.

Authors:  Tzu-Ching Shih; Jeon-Hor Chen; Dongxu Liu; Ke Nie; Lizhi Sun; Muqing Lin; Daniel Chang; Orhan Nalcioglu; Min-Ying Su
Journal:  Phys Med Biol       Date:  2010-07-05       Impact factor: 3.609

7.  Blood flow reduction in breast tissue due to mammographic compression.

Authors:  David R Busch; Regine Choe; Turgut Durduran; Daniel H Friedman; Wesley B Baker; Andrew D Maidment; Mark A Rosen; Mitchell D Schnall; Arjun G Yodh
Journal:  Acad Radiol       Date:  2014-02       Impact factor: 3.173

8.  Dynamic functional and mechanical response of breast tissue to compression.

Authors:  S A Carp; J Selb; Q Fang; R Moore; D B Kopans; E Rafferty; D A Boas
Journal:  Opt Express       Date:  2008-09-29       Impact factor: 3.894

9.  Electromagnetic field-based navigation for percutaneous punctures on C-arm CT: experimental evaluation and clinical application.

Authors:  Bernhard C Meyer; Olaf Peter; Markus Nagel; Martin Hoheisel; Bernd B Frericks; Karl-Jürgen Wolf; Frank K Wacker
Journal:  Eur Radiol       Date:  2008-06-11       Impact factor: 5.315

10.  CT image segmentation using FEM with optimized boundary condition.

Authors:  Hiroyuki Hishida; Hiromasa Suzuki; Takashi Michikawa; Yutaka Ohtake; Satoshi Oota
Journal:  PLoS One       Date:  2012-02-28       Impact factor: 3.240

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