Quantification of the visco-elastic properties of human lung tissue in the development of a tissue mimicking phantom for applications in thoracic and robot-assisted surgical simulation

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TypeArticle
Proceedings titleProceedings of the Canadian Surgery Forum
ConferenceCanadian Surgery Forum, September 10-13 2009, Victoria BC, Canada
AbstractSurgical simulation permits the adoption of new skills and enables the development of new procedures and instrumentation. Essential to surgical simulation are materials with realistic imaging and force feedback properties that accurately simulate tissue behaviour. The visco-elastic properties of human lung tissue were quantified for the development of a tissue mimicking lung phantom for thoracic and robot-assisted surgical simulation. We set out to determine if the mechanical properties of human lung tissue can be determined using a simple instrument. A small, free-standing desktop instrument capable of employing and quantifying a normal indentation to a target tissue was developed and validated against the gold standard of compression testing. Six separate lung and tumour specimens were subjected to repeated cycles of indentation testing immediately after surgical resection. Each specimen was indented with an incremental indentation stress ranging from 0.01 to 0.1 Newtons (N). A force (N) versus displacement (mm) curve was generated as a reflection of the indentation data. The pooled data generated statistically distinct curves for the tumour and lung specimens. The resulting curve for the indentation of the resected lung specimens is defined by the equation y = 0.0863 × − 0.0267 (R2 = 0.996), and the indentation curve for the tumour specimens is defined by y = 0.1554 × − 0.0024 (R2 = 1). The mechanical properties of human lung tissue can be determined using a simple tissue indenter. To our knowledge, this is the first description and quantification of the visco-elastic properties of lung tissue. These data have been used to generate a prototype of an anatomically and mechanically accurate tissue-mimicking phantom.
Publication date
LanguageEnglish
AffiliationNRC Industrial Materials Institute; National Research Council Canada
Peer reviewedYes
NPARC number21274357
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Record identifierc0573d26-ea11-4338-a702-b1647e9d9880
Record created2015-03-11
Record modified2016-05-09
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