Biophysical Bases of Elasticity Imaging

Part of the Acoustical Imaging book series (ACIM, volume 21)


Elasticity imaging is based on two processes. The first is the evaluation of the mechanical response of a stressed tissue using imaging modalities, e.g. ultrasound, magnetic resonance imaging (MRI), computed tomography (CT) scans and Doppler ultrasound. The second step is depiction of the elastic properties of internal tissue structures by mathematical solution of the inverse mechanical problem. The evaluation of elastic properties of tissues has the potential for being an important diagnostic tool in the detection of cancer as well as other injuries and diseases. The success of breast self-examination in conjunction with mammography for detection and continuous monitoring of lesions has resulted in early diagnosis and institution of therapy. Self-examination is based on the manually palpable texture difference of the lesion relative to adjacent tissue and, as such, is limited to lesions located relatively near the skin surface and increased lesion hardness with respect to the surrounding tissue. Imaging of tissue “hardness” should allow more sensitive detection of abnormal structures deeper within tissue. Tissue hardness can actually be quantified in terms of the tissue elastic moduli and may provide good contrast between normal and abnormal tissues based on the large relative variation in shear (or Young’s) elastic modulus.


Bulk Modulus Elastic Modulo Surrounding Material Tissue Motion Magnetic Resonance Image Experiment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  1. 1.Department of ChemistryRutgers UniversityNew BrunswickUSA
  2. 2.Institute of Mathematical Problems of BiologyRussian Academy of SciencesPushchinoRussia
  3. 3.Department of RadiologyUniversity of Michigan Medical CenterAnn ArborUSA
  4. 4.Department of Electrical Engineering and Computer Science and Bioengineering ProgramUniversity of MichiganAnn ArborUSA
  5. 5.Department of RadiologyUniversity of California at San DiegoSan DiegoUSA

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