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In vivo optical tissue differentiation by diffuse reflectance spectroscopy

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In vivo optical tissue differentiation by diffuse reflectance spectroscopy : preliminary results for tissue-specific laser surgery. / Stelzle, Florian; Adler, Werner; Zam, Azhar; Tangermann-Gerk, Katja; Knipfer, Christian; Douplik, Alexandre; Schmidt, Michael; Nkenke, Emeka.

In: SURG INNOV, Vol. 19, No. 4, 12.2012, p. 385-93.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Stelzle, F, Adler, W, Zam, A, Tangermann-Gerk, K, Knipfer, C, Douplik, A, Schmidt, M & Nkenke, E 2012, 'In vivo optical tissue differentiation by diffuse reflectance spectroscopy: preliminary results for tissue-specific laser surgery', SURG INNOV, vol. 19, no. 4, pp. 385-93. https://doi.org/10.1177/1553350611429692

APA

Stelzle, F., Adler, W., Zam, A., Tangermann-Gerk, K., Knipfer, C., Douplik, A., Schmidt, M., & Nkenke, E. (2012). In vivo optical tissue differentiation by diffuse reflectance spectroscopy: preliminary results for tissue-specific laser surgery. SURG INNOV, 19(4), 385-93. https://doi.org/10.1177/1553350611429692

Vancouver

Stelzle F, Adler W, Zam A, Tangermann-Gerk K, Knipfer C, Douplik A et al. In vivo optical tissue differentiation by diffuse reflectance spectroscopy: preliminary results for tissue-specific laser surgery. SURG INNOV. 2012 Dec;19(4):385-93. https://doi.org/10.1177/1553350611429692

Bibtex

@article{bceff38b9c1d4739b83f575575c19364,
title = "In vivo optical tissue differentiation by diffuse reflectance spectroscopy: preliminary results for tissue-specific laser surgery",
abstract = "OBJECTIVES: Laser surgery requires feedback to avoid the accidental destruction of critically important tissues. It was the aim of the authors to identify different tissue types in vivo by diffuse reflectance spectroscopy to set the basis for tissue-specific control of laser surgery.METHODS: Tissue differentiation was performed on in vivo tissue of rats (skin, fat, muscle, and nerve) by diffuse reflectance spectroscopy between 350 and 650 nm. Data analysis was done using principal components analysis, followed by linear discriminant analysis (LDA). The differentiation performance was evaluated by receiver operating characteristic (ROC) analysis.RESULTS: ROC analysis showed a tissue differentiation of 100%, with a high sensitivity of more than 99%. Only the tissue pair skin/fat showed a reduced differentiation performance and specificity.CONCLUSION: The results show the general viability of in vivo optical tissue differentiation and create a basis for the further development of a control system for tissue-specific laser surgery.",
keywords = "Adipose Tissue, Animals, Diagnostic Imaging, Diffusion, Female, Principal Component Analysis, ROC Curve, Rats, Rats, Wistar, Sensitivity and Specificity, Skin, Spectrum Analysis, Surgery, Computer-Assisted, Journal Article, Research Support, Non-U.S. Gov't",
author = "Florian Stelzle and Werner Adler and Azhar Zam and Katja Tangermann-Gerk and Christian Knipfer and Alexandre Douplik and Michael Schmidt and Emeka Nkenke",
year = "2012",
month = dec,
doi = "10.1177/1553350611429692",
language = "English",
volume = "19",
pages = "385--93",
journal = "SURG INNOV",
issn = "1553-3506",
publisher = "SAGE Publications",
number = "4",

}

RIS

TY - JOUR

T1 - In vivo optical tissue differentiation by diffuse reflectance spectroscopy

T2 - preliminary results for tissue-specific laser surgery

AU - Stelzle, Florian

AU - Adler, Werner

AU - Zam, Azhar

AU - Tangermann-Gerk, Katja

AU - Knipfer, Christian

AU - Douplik, Alexandre

AU - Schmidt, Michael

AU - Nkenke, Emeka

PY - 2012/12

Y1 - 2012/12

N2 - OBJECTIVES: Laser surgery requires feedback to avoid the accidental destruction of critically important tissues. It was the aim of the authors to identify different tissue types in vivo by diffuse reflectance spectroscopy to set the basis for tissue-specific control of laser surgery.METHODS: Tissue differentiation was performed on in vivo tissue of rats (skin, fat, muscle, and nerve) by diffuse reflectance spectroscopy between 350 and 650 nm. Data analysis was done using principal components analysis, followed by linear discriminant analysis (LDA). The differentiation performance was evaluated by receiver operating characteristic (ROC) analysis.RESULTS: ROC analysis showed a tissue differentiation of 100%, with a high sensitivity of more than 99%. Only the tissue pair skin/fat showed a reduced differentiation performance and specificity.CONCLUSION: The results show the general viability of in vivo optical tissue differentiation and create a basis for the further development of a control system for tissue-specific laser surgery.

AB - OBJECTIVES: Laser surgery requires feedback to avoid the accidental destruction of critically important tissues. It was the aim of the authors to identify different tissue types in vivo by diffuse reflectance spectroscopy to set the basis for tissue-specific control of laser surgery.METHODS: Tissue differentiation was performed on in vivo tissue of rats (skin, fat, muscle, and nerve) by diffuse reflectance spectroscopy between 350 and 650 nm. Data analysis was done using principal components analysis, followed by linear discriminant analysis (LDA). The differentiation performance was evaluated by receiver operating characteristic (ROC) analysis.RESULTS: ROC analysis showed a tissue differentiation of 100%, with a high sensitivity of more than 99%. Only the tissue pair skin/fat showed a reduced differentiation performance and specificity.CONCLUSION: The results show the general viability of in vivo optical tissue differentiation and create a basis for the further development of a control system for tissue-specific laser surgery.

KW - Adipose Tissue

KW - Animals

KW - Diagnostic Imaging

KW - Diffusion

KW - Female

KW - Principal Component Analysis

KW - ROC Curve

KW - Rats

KW - Rats, Wistar

KW - Sensitivity and Specificity

KW - Skin

KW - Spectrum Analysis

KW - Surgery, Computer-Assisted

KW - Journal Article

KW - Research Support, Non-U.S. Gov't

U2 - 10.1177/1553350611429692

DO - 10.1177/1553350611429692

M3 - SCORING: Journal article

C2 - 22344924

VL - 19

SP - 385

EP - 393

JO - SURG INNOV

JF - SURG INNOV

SN - 1553-3506

IS - 4

ER -