A novel haptic robotic viscogram for characterizing the viscoelastic behaviour of breast tissue in clinical examinations

International Journal of Medical Robotics and Computer Assisted Surgery

Volumn 7, Issue 3, 2011, Pages 282-292

  Mojra, Afsaneh ^a   Najarian, Siamak ^a   Towliat Kashani, Seyed Mohsen ^b   Panahi, Farzad ^b   Yaghmaei, Mostafa ^c  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b BAQIYATALLAH UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Artificial tactile sensing; Breast masses; Robotics; Soft tissue; Viscoelasticity

Indexed keywords

BEHAVIORAL RESEARCH; BIOMECHANICS; DECISION MAKING; END EFFECTORS; HEALTH; PROBES; STRAIN RATE; TISSUE;

ARTIFICIAL TACTILE SENSING; BREAST MASS; BREAST TISSUES; DIFFERENT MASS; HIGH-ORDER; HIGHER-ORDER; NODULE DETECTION; SOFT TISSUE; TACTILE SENSING; VISCOELASTIC BEHAVIORS;

VISCOELASTICITY;

ARTICLE; BIOLOGY; BREAST; BREAST EXAMINATION; CLINICAL EXAMINATION; DECISION SUPPORT SYSTEM; DOCUMENTATION; GOLD STANDARD; HUMAN; MECHANICAL TORSION; QUANTITATIVE ANALYSIS; ROBOTICS; SURGEON; TACTILE FEEDBACK; VISCOELASTICITY; BODY MASS; BREAST TUMOR; CLINICAL TRIAL (TOPIC); COMPUTER SIMULATION; DECISION MAKING; DEVICES; DIAGNOSTIC IMAGING; ELASTICITY; EQUIPMENT DESIGN; FEMALE; MECHANICAL STRESS; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; TOUCH; VISCOSITY;

BODY MASS INDEX; BREAST; BREAST NEOPLASMS; CLINICAL TRIALS AS TOPIC; COMPUTER SIMULATION; DECISION MAKING; DIAGNOSTIC IMAGING; ELASTICITY; EQUIPMENT DESIGN; FEMALE; HUMANS; REPRODUCIBILITY OF RESULTS; ROBOTICS; STRESS, MECHANICAL; TOUCH; VISCOSITY;

EID: 80051938266     PISSN: 14785951     EISSN: 1478596X     Source Type: Journal    
DOI: 10.1002/rcs.396     Document Type: Article

References (33)

1. Tanter M, Bercoff J, Athanasiou A, et al. Quantitative assessment of breast lesion viscoelasticity: initial clinical results using supersonic shear imaging. Ultrasound Med Biol 2008; 34(9): 1373-1386; DOI: 10.1016/j.ultrasmedbio.2008.02.002.
2. Harris JR, Lippman ME, Morrow M, Hellman S. Diseases of the breast. Lippincott-Raven: Philadelphia, 1996; 939-947.
3. Itoh A, Ueno E, Tohno E, et al. Breast disease: clinical application of US elastography for diagnosis. Radiology 2006; 239: 341-350.
4. Yamakawa M, Nitta N, Shiina T, et al. Elastography: new developments in ultrasound for predicting malignancy for thyroid nodules. Japan J Appl Phys 2003; 42: 3265-3270.
5. Ophir J, Céspedes I, Ponnekanti H, et al. Elastography: a quantitative method for imaging the elasticity of biological tissues. Ultrason Imaging 1991; 13: 111-134.
6. Ophir J, Cespedes I, Garra B, et al. Elastography: Ultrasonic imaging of tissue strain and elastic modulus in vivo. Eur J Ultrasound 1996; 3: 49-70.
7. Ophir J, Garra B, Kallel F, et al. Elastographic imaging. Ultrasound Med Biol 2000; 26(1): S23-29.
8. Konofagou EE, D'Hooge J, Ophir J. Myocardial elastography-a feasibility study in vivo. Ultrasound Med Biol 2002; 28(4): 475-482.
9. Nitta N, Shiina T. Ultrasonic imaging based on measurements of viscoelastic hysteresis in soft tissue. Trans Japan Soc Med Biol Eng 2003; 41(4): 295-305.
10. Shiina T, Yoshida M, Yamakawa M, et al. Basic investigation of three-dimensional ultrasound tissue viscoelasticity microscope. Japan J Appl Phys 2007; 46(7B): 4851-4857.
11. Nitta N, Shiina T, Ueno E. Hysteresis parameter imaging of soft tissue under quasi-static deformation. IEEE Ultrasonics Aymposium, 2003; 1606-1609.
12. Pellot-Barakat C, Sridhar M, Lindfors K, et al. Ultrasonic elasticity imaging as a tool for breast cancer diagnosis and research. Curr Med Imaging Rev 2006; 2: 157-164.
13. Losa G, Alini M. Sulphated proteoglycans in the extracellular matrix of human breast tissues with infiltrating carcinoma. Int J Cancer 1993; 54: 552-557.
14. Sinkus R, Tanter M, Catheline S, et al. Viscoelastic shear properties of in vivo breast lesions measured by MR elastography. Magn Reson Imaging 2005; 23: 159-165.
15. Muthupillari R, Lomas DJ, Rossman PJ, et al. Magnetic resonance elastography by direct visualization of propagating acoustic strain wave. Science 1995; 269: 1854-1856.
16. Kruse SA, Smith JA, Lawrence AJ, et al. Tissue characterization using magnetic resonance elastography: preliminary results. Phys Med Biol 2000; 45: 1579-1590.
17. Sinkus R, Tanter M, Catheline S, et al. Imaging anisotropic and viscous properties of breast tissue by magnetic resonance elastography. Magn Res Med 2005; 53(2): 372-387.
18. Parker KJ, Huang SR, Musulin RA, et al. Tissue response to mechanical vibrations for sonoelasticity imaging. Ultrason Med Biol 1990; 16: 241-246.
19. Sarvazyan A, Skovoroda A, Emilianov S, et al. Biophysical bases of elasticity imaging. Acoust Imaging Symp 1995; 21: 223-240.
20. Trahey GE, Palmeri ML, Bentley RC, et al. Acoustic radiation force impulse imaging of the mechanical properties of arteries: in vivo and ex vivo results. Ultrasound Med Biol 2004; 30: 1163-1171.
21. Nightingale KR, Soo MS, Nightingale RW, et al. Acoustic radiation force impulse imaging: in vivo demonstration of clinical feasibility. Ultrasound Med Biol 2002; 28(2): 227-235.
22. Najarian S, Dargahi J, Mehrizi AA. Artificial tactile sensing in biomedical engineering. McGraw-Hill: New York, USA, 2009.
23. Najarian S, Fallahnezhad M, Afshari E. Advances in medical robotic systems with specific applications in surgery-a review. J Med Eng Technol 2011; 35(1): 19-33.
24. Dargahi J, Najarian S. Human tactile perception as a standard for artificial tactile sensing-a review. Int J Med Robotics Comput Assist Surg 2004; 1: 23-35.
25. Dargahi J, Najarian S. Advances in tactile sensors design/manufacturing and its impact on robotics application-a review. Indust Robot Int J 2005; 32: 268-281.
26. Najarian S, Dargahi J, Mirjalili V. Detecting embedded objects using haptics with applications in artificial palpation of masses. Sensors Mater 2006; 18: 215-229.
27. Wellman PS, Howe RD. Mechanical properties of breast tissue in compression. Harvard BioRobotics Laboratory Technical Report No. 99003, 1999.
28. Varela C, Timp S, Karssemeijer N. Use of border information in the classification of mammographic masses. Phys Med Biol 2006; 51: 2.
29. Cheng HD, Shi XJ, Min R, et al. Approaches for automated detection and classification of masses in mammograms. Pattern Recogn 2006; 39: 646-668.
30. Alblas JR, Kuipers M. Contact problems of a rectangular block on an elastic layer of finite thickness. Part II: the thick layer. Acta Mech 1970; 9: 1-12.
31. Brunicardi FC. Schwartz's principles of surgery. 8th edn., McGraw-Hill: New York, USA, 2005.
32. Soby LM. Structure and viscoelasticity of proteoglycans and glycoproteins. PhD thesis, Michigan, USA. Case Western Reserve University: Macromolecular Science, 1990.
33. Jatoi I, Kaufmann M, Petit JY. Atlas of breast surgery. Springer-Verlag: Berlin Heidelberg, Germany, 2006.