Photonics in Dermatology and Plastic Surgery 2019最新文献

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Spatial frequency domain spectroscopy imaging using a snap-shot filter mosaic camera compared to a multi-camera system with band-pass filters (Conference Presentation) 使用快照滤波马赛克相机的空间频域光谱成像与带通滤波器的多相机系统的比较(会议报告)

Photonics in Dermatology and Plastic Surgery 2019 Pub Date : 2019-03-04 DOI: 10.1117/12.2508915

Tomas Stroemberg, Hanna Jonasson, Ingemar Fredriksson, G. Salerud, R. Saager, M. Larsson

{"title":"Spatial frequency domain spectroscopy imaging using a snap-shot filter mosaic camera compared to a multi-camera system with band-pass filters (Conference Presentation)","authors":"Tomas Stroemberg, Hanna Jonasson, Ingemar Fredriksson, G. Salerud, R. Saager, M. Larsson","doi":"10.1117/12.2508915","DOIUrl":"https://doi.org/10.1117/12.2508915","url":null,"abstract":"Spectroscopic imaging of human tissue analyzes backscattered light intensity separated by wavelength. We used a DLP-projector illuminating sinusoidal patterns with varying phase and varying spatial frequency on forearm skin. Detection was done with: 1) a snap-shot filter mosaic camera with 16 wide-band sensitive pixels; 2-3) a four cameras setup with narrow and wide bandwidth optical bandpass filters in the 450-700 nm range, respectively. The detected images were processed with a demodulation scheme, assessing tissue optical parameters, involving light absorption. Calibration was done using an optical phantom with known optical properties. From the absorption coefficient the concentration of skin blood and its oxygenation was determined. We will present results from forearm arterial occlusion and release experiments using the three setups above. Specifically, the effect of the filter bandwidth will be evaluated using data from the multi-camera setups. Furthermore, the snap-shot filter mosaic camera data may be explained by the calculation of modulation using an illumination and detector setup with a broad spectral transmission bandwidth, with considerable variation in μ_a of included chromophores. Approaches for either reducing the effective bandwidth of the filters or by including their characteristic in a light transport model for SFDI modulation, will be proposed.","PeriodicalId":131448,"journal":{"name":"Photonics in Dermatology and Plastic Surgery 2019","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125998795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Incorporating demographics into a skin cancer diagnosis algorithm for Raman spectroscopy improves diagnostic specificity (Conference Presentation) 将人口统计学纳入皮肤癌拉曼光谱诊断算法提高诊断特异性(会议报告)

Photonics in Dermatology and Plastic Surgery 2019 Pub Date : 2019-03-04 DOI: 10.1117/12.2513779

Jianhua Zhao, H. Zeng, S. Kalia, H. Lui

{"title":"Incorporating demographics into a skin cancer diagnosis algorithm for Raman spectroscopy improves diagnostic specificity (Conference Presentation)","authors":"Jianhua Zhao, H. Zeng, S. Kalia, H. Lui","doi":"10.1117/12.2513779","DOIUrl":"https://doi.org/10.1117/12.2513779","url":null,"abstract":"Background & objective: Skin cancer is a very common malignancy that occurs more frequently in fair skin and older individuals. Raman spectroscopy is a non-invasive optical technique that can be used as an adjunct for skin cancer diagnosis. The objective of this study is to evaluate whether incorporating patient demographics can improve skin cancer diagnosis based on Raman spectroscopy. Patients & Methods: Raman spectra of 731 lesions and their respective adjacent normal skin were measured in vivo using a real-time Raman spectrometer. The lesions were divided into skin cancers (including malignant melanoma, basal cell carcinoma, squamous cell carcinoma and precancerous lesion - actinic keratosis, n = 340) and benign skin lesions (including pigmented nevi and seborrheic keratosis, n = 391). Patient age, gender, skin type and location of the lesion were incorporated into the analysis. Multivariate statistical analysis including principal component and general discriminant analysis (PC-GDA) and partial least squares (PLS) are used for skin cancer discrimination based on leave-one-out cross-validation. Results: The posterior probability of being a cancer is significantly dependent on gender, age and location of the lesion (p 0.05). The area under the receiver operating characteristic curve (ROC) is increased from 0.905 (95%CI: 0.884-0.927) to 0.932 (95%CI: 0.919-0.945) after taking into account demographics. Correspondingly, the specificity is increased from 43.2% to 50.1% at sensitivity of 99%; and from 73.4% to 77.5% at sensitivity of 90%. Conclusions: The specificity is increased after incorporating demographics into the algorithm for skin cancer diagnosis based on Raman spectroscopy.","PeriodicalId":131448,"journal":{"name":"Photonics in Dermatology and Plastic Surgery 2019","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132961081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

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