Principal component model of multispectral data for near real-time skin chromophore mapping

Kainerstorfer, Jana M.; Ehler, Martin; Amyot, Franck; Mohabatkar, Hassan; Demos, Stavros G.; Chernomordik, Victor; Hitzenberger, Christoph K.; Gandjbakhche, Amir; Riley, Jason

doi:10.1117/1.3463010

Cited by 24 publications

(22 citation statements)

References 32 publications

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“…Evaluation of the blood volume and blood oxygenation concentrations using PCA was performed[33]. All the patients had increased EV1 values (correlating to blood volume) in their lesions at baseline as compared to the surrounding skin.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Non-Invasive Multispectral Imaging as a Tool for Measuring the Effect of Systemic Therapy in Kaposi Sarcoma

et al. 2013

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Diffuse multi-spectral imaging has been evaluated as a potential non-invasive marker of tumor response. Multi-spectral images of Kaposi sarcoma skin lesions were taken over the course of treatment, and blood volume and oxygenation concentration maps were obtained through principal component analysis (PCA) of the data. These images were compared with clinical and pathological responses determined by conventional means. We demonstrate that cutaneous lesions have increased blood volume concentration and that changes in this parameter are a reliable indicator of treatment efficacy, differentiating responders and non-responders. Blood volume decreased by at least 20% in all lesions that responded by clinical criteria and increased in the two lesions that did not respond clinically. Responses as assessed by multi-spectral imaging also generally correlated with overall patient clinical response assessment, were often detectable earlier in the course of therapy, and are less subject to observer variability than conventional clinical assessment. Tissue oxygenation was more variable, with lesions often showing decreased oxygenation in the center surrounded by a zone of increased oxygenation. This technique could potentially be a clinically useful supplement to existing response assessment in KS, providing an early, quantitative, and non-invasive marker of treatment effect.

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Section: Discussionmentioning

confidence: 99%

Evaluation of Non-Invasive Multispectral Imaging as a Tool for Measuring the Effect of Systemic Therapy in Kaposi Sarcoma

et al. 2013

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“…Although multispectral imaging systems have a limited number of filters, the right selection of a small number of spectral channels may permit the isolation and study of the dominant constituents in the iris, in the same way as in skin imaging. 41,42 Multispectral imaging systems with many filters and relatively narrow spectral bands, have also shown good accuracy for colorimetric reconstruction of iridal areas. 27,34…”

Section: Discussionmentioning

confidence: 99%

“…In addition, the potential effects of spontaneous eye movements 37 during the image acquisition and in the PCA, were studied using a correction algorithm based on the phase correlation method. [38][39][40] The PCA results were also correlated with pigment identification, as under certain control conditions, PCA has been used to study the spatial properties of melanin and hemoglobins in the skin [41][42][43] and in the cortical tissue. 44 We compared PCA between a light and dark pigmented iris and the first characteristic vector was correlated with modeled reflectance curves in previous iris models.…”

Section: Introductionmentioning

confidence: 99%

Hyperspectral optical imaging of human iris in vivo: characteristics of reflectance spectra

et al. 2011

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We report a hyperspectral imaging system to measure the reflectance spectra of real human irises with high spatial resolution. A set of ocular prosthesis was used as the control condition. Reflectance data were decorrelated by the principal-component analysis. The main conclusion is that spectral complexity of the human iris is considerable: between 9 and 11 principal components are necessary to account for 99% of the cumulative variance in human irises. Correcting image misalignments associated with spontaneous ocular movements did not influence this result. The data also suggests a correlation between the first principal component and different levels of melanin present in the irises. It was also found that although the spectral characteristics of the first five principal components were not affected by the radial and angular position of the selected iridal areas, they affect the higher-order ones, suggesting a possible influence of the iris texture. The results show that hyperspectral imaging in the iris, together with adequate spectroscopic analyses provide more information than conventional colorimetric methods, making hyperspectral imaging suitable for the characterization of melanin and the noninvasive diagnosis of ocular diseases and iris color.

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“…The ordered set of PCs account for successively smaller fractions of the variation in the tissue reflectance. [47][48] PCA decomposition is a convenient means to examine both the spatial and spectral sources of variation in a multispectral imaging sequence as well as an effective means of data reduction where only the first few PCs (the most important source of spectral-spatial variation) of the multispectral image decomposition are retained.…”

Section: Chemometric Methods Of Generating Spectroscopic Contrast In mentioning

confidence: 99%

The Utility of near Infrared Imaging in Intra-Operative Prediction of Flap Outcome: A Reverse McFarlane Skin Flap Model Study

Sowa

Friesen

Levasseur

et al. 2012

Journal of Near Infrared Spectroscopy

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Skin flaps are complex procedures used extensively in reconstructive surgery that require post-operative monitoring to ensure that they do not fail. Near infrared (NIR) spectroscopic imaging is a convenient, non-invasive method for surgeons to examine flaps during surgery and in the early post-operative period. Using a reverse McFarlane skin flap model, we show that model-free chemometric methods as well as simple modified Beer-Lambert analysis of the NIR images provide insights into the blood supply to flaps and demonstrate that the technique can detect and localise perfusion-related complications as well as give real-time feedback to the surgeon as they try to resolve the complication. We also show that using estimates of tissue haemoglobin oxygen saturation, imaging measurements made during surgery and in the early post-operative period are highly predictive of the outcome of the flap tissue with specificities and sensitivities exceeding 85%.

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Principal component model of multispectral data for near real-time skin chromophore mapping

Cited by 24 publications

References 32 publications

Evaluation of Non-Invasive Multispectral Imaging as a Tool for Measuring the Effect of Systemic Therapy in Kaposi Sarcoma

Evaluation of Non-Invasive Multispectral Imaging as a Tool for Measuring the Effect of Systemic Therapy in Kaposi Sarcoma

Hyperspectral optical imaging of human iris in vivo: characteristics of reflectance spectra

The Utility of near Infrared Imaging in Intra-Operative Prediction of Flap Outcome: A Reverse McFarlane Skin Flap Model Study

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