Paper
29 March 2013 Pulmonary ultrasound elastography: a feasibility study with phantoms and ex-vivo tissue
Man Minh Nguyen, Hua Xie, Kamila Paluch, Douglas Stanton, Bharat Ramachandran
Author Affiliations +
Abstract
Elastography has become widely used for minimally invasive diagnosis in many tumors as seen with breast, liver and prostate. Among different modalities, ultrasound-based elastography stands out due to its advantages including being safe, real-time, and relatively low-cost. While lung cancer is the leading cause of cancer mortality among both men and women, the use of ultrasound elastography for lung cancer diagnosis has hardly been investigated due to the limitations of ultrasound in air. In this work, we investigate the use of static-compression based endobronchial ultrasound elastography by a 3D trans-oesophageal echocardiography (TEE) transducer for lung cancer diagnosis. A water-filled balloon was designed to 1) improve the visualization of endobronchial ultrasound and 2) to induce compression via pumping motion inside the trachea and bronchiole. In a phantom study, we have successfully generated strain images indicating the stiffness difference between the gelatin background and agar inclusion. A similar strain ratio was confirmed with Philips ultrasound strain-based elastography product. For ex-vivo porcine lung study, different tissue ablation methods including chemical injection, Radio Frequency (RF) ablation, and direct heating were implemented to achieve tumor-mimicking tissue. Stiff ablated lung tissues were obtained and detected with our proposed method. These results suggest the feasibility of pulmonary elastography to differentiate stiff tumor tissue from normal tissue.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Man Minh Nguyen, Hua Xie, Kamila Paluch, Douglas Stanton, and Bharat Ramachandran "Pulmonary ultrasound elastography: a feasibility study with phantoms and ex-vivo tissue", Proc. SPIE 8675, Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy, 867503 (29 March 2013); https://doi.org/10.1117/12.2007354
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KEYWORDS
Tissues

Ultrasonography

Lung

Elastography

Lung cancer

Tumors

Speckle

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