Noncontact measurement of elasticity for the detection of soft-tissue tumors using phase-sensitive optical coherence tomography combined with a focused air-puff system.

We report on an optical noncontact method for the detection of soft-tissue tumors based on the measurement of their elasticity. A focused air-puff system is used to excite surface waves (SWs) on soft tissues with transient static pressure. A high-speed phase-sensitive optical coherence tomography system is used to measure the SWs as they propagate from the point of excitation. To evaluate the stiffness of soft tissues, the Young's modulus is quantified based on the group velocity of SWs. Pilot experiments were performed on ex vivo human myxoma and normal fat. Results demonstrate the feasibility of the proposed method to measure elasticity and differentiate soft-tissue tumors from normal tissues.

[1]  Floredes M. Menodiado,et al.  Estimation of shear wave velocity in gelatin phantoms utilizing PhS-SSOCT , 2012 .

[2]  R. Wang,et al.  Noncontact all-optical measurement of corneal elasticity. , 2012, Optics letters.

[3]  Ruikang K. Wang,et al.  Quantitative elastography provided by surface acoustic waves measured by phase-sensitive optical coherence tomography. , 2012, Optics letters.

[4]  Ruikang K. Wang,et al.  Elastic properties of soft tissue-mimicking phantoms assessed by combined use of laser ultrasonics and low coherence interferometry. , 2011, Optics express.

[5]  S. Boppart,et al.  Acoustomotive optical coherence elastography for measuring material mechanical properties. , 2009, Optics letters.

[6]  Valerie M. Weaver,et al.  A tense situation: forcing tumour progression , 2009, Nature Reviews Cancer.

[7]  S. Boppart,et al.  Optical micro-scale mapping of dynamic biomechanical tissue properties. , 2008, Optics express.

[8]  D. Plewes,et al.  Elastic moduli of normal and pathological human breast tissues: an inversion-technique-based investigation of 169 samples , 2007, Physics in medicine and biology.

[9]  Michael F. Insana,et al.  Ultrasonic Elasticity Imaging as a Tool for Breast Cancer Diagnosis and Research , 2006 .

[10]  Cynthia A. Reinhart-King,et al.  Tensional homeostasis and the malignant phenotype. , 2005, Cancer cell.

[11]  S. Boppart,et al.  Optical Coherence Tomography: Feasibility for Basic Research and Image-guided Surgery of Breast Cancer , 2004, Breast Cancer Research and Treatment.

[12]  G. Trahey,et al.  Shear-wave generation using acoustic radiation force: in vivo and ex vivo results. , 2003, Ultrasound in medicine & biology.

[13]  Abbas Samani,et al.  Measuring the elastic modulus of ex vivo small tissue samples. , 2003, Physics in medicine and biology.

[14]  Samuel Singer,et al.  Histologic Subtype and Margin of Resection Predict Pattern of Recurrence and Survival for Retroperitoneal Liposarcoma , 2003, Annals of surgery.

[15]  R. Sinkus,et al.  High-resolution tensor MR elastography for breast tumour detection. , 2000, Physics in medicine and biology.

[16]  W. O’Brien,et al.  Young's modulus measurements of soft tissues with application to elasticity imaging , 1996, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[17]  J. H. Hubbell,et al.  Tables of X-Ray Mass Attenuation Coefficients and Mass Energy-Absorption Coefficients 1 keV to 20 MeV for Elements Z = 1 to 92 and 48 Additional Substances of Dosimetric Interest , 1995 .