Feasibility of a single-transducer harmonic motion imaging using frequency-based simultaneous multiple harmonic oscillation excitation pulses

2020 ◽  
Vol 148 (4) ◽  
pp. 2600-2600
Author(s):  
Md. Murad Hossain ◽  
Elisa Konofagou
Keyword(s):  
Harmonic Oscillation ◽  
Harmonic Motion ◽  
Harmonic Motion Imaging ◽  
Motion Imaging

A mechanical model to compute elastic modulus of tissues for harmonic motion imaging

2008 ◽  
Vol 41 (10) ◽  
pp. 2150-2158 ◽  
Author(s):  
Baoxiang Shan ◽  
Assimina A. Pelegri ◽  
Caroline Maleke ◽  
Elisa E. Konofagou
Keyword(s):  
Elastic Modulus ◽  
Mechanical Model ◽  
Harmonic Motion ◽  
Harmonic Motion Imaging ◽  
Motion Imaging

scholarly journals Harmonic motion imaging of human breast masses: an in vivo clinical feasibility

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Niloufar Saharkhiz ◽  
Richard Ha ◽  
Bret Taback ◽  
Xiaoyue Judy Li ◽  
Rachel Weber ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Malignant Tumors ◽  
Ex Vivo ◽  
Benign Tumors ◽  
Cancerous Tissue ◽  
Breast Masses ◽  
Harmonic Motion ◽  
Harmonic Motion Imaging ◽  
Motion Imaging

Abstract Non-invasive diagnosis of breast cancer is still challenging due to the low specificity of the imaging modalities that calls for unnecessary biopsies. The diagnostic accuracy can be improved by assessing the breast tissue mechanical properties associated with pathological changes. Harmonic motion imaging (HMI) is an elasticity imaging technique that uses acoustic radiation force to evaluate the localized mechanical properties of the underlying tissue. Herein, we studied the in vivo feasibility of a clinical HMI system to differentiate breast tumors based on their relative HMI displacements, in human subjects. We performed HMI scans in 10 female subjects with breast masses: five benign and five malignant masses. Results revealed that both benign and malignant masses were stiffer than the surrounding tissues. However, malignant tumors underwent lower mean HMI displacement (1.1 ± 0.5 µm) compared to benign tumors (3.6 ± 1.5 µm) and the adjacent non-cancerous tissue (6.4 ± 2.5 µm), which allowed to differentiate between tumor types. Additionally, the excised breast specimens of the same patients (n = 5) were imaged post-surgically, where there was an excellent agreement between the in vivo and ex vivo findings, confirmed with histology. Higher displacement contrast between cancerous and non-cancerous tissue was found ex vivo, potentially due to the lower nonlinearity in the elastic properties of ex vivo tissue. This preliminary study lays the foundation for the potential complementary application of HMI in clinical practice in conjunction with the B-mode to classify suspicious breast masses.

scholarly journals Non-contact, ultrasound-based indentation method for measuring elastic properties of biological tissues using Harmonic Motion Imaging (HMI)

2015 ◽  
Vol 60 (7) ◽  
pp. 2853-2868 ◽  
Author(s):  
Jonathan Vappou ◽  
Gary Y Hou ◽  
Fabrice Marquet ◽  
Danial Shahmirzadi ◽  
Julien Grondin ◽  
...  
Keyword(s):  
Elastic Properties ◽  
Biological Tissues ◽  
Indentation Method ◽  
Harmonic Motion ◽  
Harmonic Motion Imaging ◽  
Motion Imaging

Mapping of Regional Cancerous Tissue Mechanical Property Changes Using Harmonic Motion Imaging

2007 ◽  
Author(s):  
Caroline Maleke ◽  
Jianwen Luo ◽  
Assimina A. Pelegri ◽  
Elisa E. Konofagou
Keyword(s):  
Real Time ◽  
Radiation Force ◽  
Tumor Detection ◽  
Real Time Monitoring ◽  
Harmonic Motion ◽  
Rf Signals ◽  
Harmonic Motion Imaging ◽  
Motion Imaging ◽  
Pulse Echo ◽  
Breast Tissues

Mechanical changes in breast tissues as a result of cancer are usually detected through palpation by the physician and/or self examination. However, physicians are unable to palpate most masses under 1 cm in diameter and microscopic diseases. The goal of our study is to introduce the application of the Harmonic Motion Imaging (HMI), an acoustic radiation force technique, for reliable sensitive tumor detection and real-time monitoring of tumor ablation. Here, we applied the HMI technique using a single-element Focused Ultrasound (FUS) transducer. Due to the highly localized and harmonic nature of the response, the motion characteristics can be directly linked to the regional tissue modulus. In this experiment, a confocal transducer, combining a 4.68 MHz therapy (FUS) and a 7.5 MHz diagnostic (pulse-echo) probe, was used. The FUS beam was further modulated by a low AM continuous wave at 25 Hz. A pulser/receiver was used to drive the pulse-echo transducer at a Pulse Repetition Frequency (PRF) of 5.4 kHz. The radio-frequency (RF) signals were acquired using a standard pulse echo technique. The intensity amplitudes of the FUS beam at the focus (Ispta) were 231 W/cm2 for tumor detection and 1086 W/cm2 for FUS ablation. An analog bandpass filter was used to remove the spectrum of the FUS beam prior to displacement estimation. The resulting axial tissue displacement (i.e., HMI displacement) was estimated using an RF-based speckle tracking technique based on 1D cross-correlation. For tumor mapping, a harmonic radiation force was applied using a 2D raster-scan technique. The 3D HMI image was obtained by combining multiple 2D planes at different depths. The 2D and 3D HMI images in ex vivo breast tissues could detect a benign tumor (2×5×5mm3) surrounded by normal tissue, and a malignant tumor (8×7×5mm3) embedded in glandular and fat tissues. For FUS therapy, temperature measurements and RF signals were acquired during thermal ablation. HMI images during FUS ablation showed lower displacements, indicating thus tissue hardening due to lesion formation at temperatures higher than 50°C. A finite-element model (FEM) simulation was also used to analyze the findings of the experimental results. In conclusion, this technique demonstrates feasibility of the HMI technique for tumor detection and characterization, as well as real-time monitoring of tissue ablation based on the associated tissue elasticity changes.

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