Paper
17 February 2012 Enabling technologies for natural orifice transluminal endoscopic surgery (N.O.T.E.S) using robotically guided elasticity imaging
H. Tutkun Sen, Nishikant Deshmukh, Roger Goldman, Peter Kazanzides, Russell H. Taylor, Emad Boctor, Nabil Simaan
Author Affiliations +
Abstract
Natural orifice transluminal endoscopic surgery (N.O.T.E.S) is a minimally invasive surgical technique that could benefit greatly from additional methods for intraoperative detection of tissue malignancies (using elastography) along with more precise control of surgical tools. Ultrasound elastography has proven itself as an invaluable imaging modality. However, elasticity images typically suffer from low contrast when imaging organs from the surface of the body. In addition, the palpation motions needed to generate elastography images useful for identifying clinically significant changes in tissue properties are difficult to produce because they require precise axial displacements along the imaging plane. Improvements in elasticity imaging necessitate an approach that simultaneously removes the need for imaging from the body surface while providing more precise palpation motions. As a first step toward performing N.O.T.E.S in-vivo, we integrated a phased ultrasonic micro-array with a flexible snake-like robot. The integrated system is used to create elastography images of a spherical isoechoic lesion (approximately 5mm in cross-section) in a tissue-mimicking phantom. Images are obtained by performing robotic palpation of the phantom at the location of the lesion.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H. Tutkun Sen, Nishikant Deshmukh, Roger Goldman, Peter Kazanzides, Russell H. Taylor, Emad Boctor, and Nabil Simaan "Enabling technologies for natural orifice transluminal endoscopic surgery (N.O.T.E.S) using robotically guided elasticity imaging", Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 83161Y (17 February 2012); https://doi.org/10.1117/12.912383
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CITATIONS
Cited by 5 scholarly publications and 8 patents.
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KEYWORDS
Ultrasonography

Video

Elastography

Tissues

Surgery

Prostate

3D image processing

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