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Differentiation of benign pigmented skin lesions with the aid of computer image analysis: a novel approach.

Choi JW, Park YW, Byun SY, Youn SW - Ann Dermatol (2013)

Bottom Line: In the aspect of texture, the surface of the nevus showed the highest contrast and correlation.Finally, the color segmented pattern of the nevus and lentigo was far more concentric than that of seborrheic keratosis.We found that the subtle distinctions between nevus, lentigo and seborrheic keratosis, which are likely to be unrecognized by ocular inspection, are well emphasized and detected with the aid of software.

View Article: PubMed Central - PubMed

Affiliation: Department of Dermatology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.

ABSTRACT

Background: The differential diagnosis of common pigmented skin lesions is important in cosmetic dermatology. The computer aided image analysis would be a potent ancillary diagnostic tool when patients are hesitant to undergo a skin biopsy.

Objective: We investigated the numerical parameters discriminating each pigmented skin lesion from another with statistical significance.

Methods: For each of the five magnified digital images containing clinically diagnosed nevus, lentigo and seborrheic keratosis, a total of 23 parameters describing the morphological, color, texture and topological features were calculated with the aid of a self-developed image analysis software. A novel concept of concentricity was proposed, which represents how closely the color segmentation resembles a concentric circle.

Results: Morphologically, seborrheic keratosis was bigger and spikier than nevus and lentigo. The color histogram revealed that nevus was the darkest and had the widest variation in tone. In the aspect of texture, the surface of the nevus showed the highest contrast and correlation. Finally, the color segmented pattern of the nevus and lentigo was far more concentric than that of seborrheic keratosis.

Conclusion: We found that the subtle distinctions between nevus, lentigo and seborrheic keratosis, which are likely to be unrecognized by ocular inspection, are well emphasized and detected with the aid of software.

No MeSH data available.


Related in: MedlinePlus

The principal component is more suited for further analysis compared to red (R), green (G) and blue (B). Original image is Fig. 1A. (A) R color space gray image. (B) G color space gray image. (C) B color space gray image. (D) Principal component.
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Figure 2: The principal component is more suited for further analysis compared to red (R), green (G) and blue (B). Original image is Fig. 1A. (A) R color space gray image. (B) G color space gray image. (C) B color space gray image. (D) Principal component.

Mentions: Through this transformation, the RGB space could be switched to another three-dimensional matrix. This is advantageous because the primary component of the transformed matrix contains more information than any dimensions of the previous RGB space. It enables us to deal with a one-dimensional gray image rather than the three-dimensional RGB, thus making CAIA much faster and more effective7. In fact, the primary component gray image represents the original colored version much better than that of R, G and B (Fig. 2).


Differentiation of benign pigmented skin lesions with the aid of computer image analysis: a novel approach.

Choi JW, Park YW, Byun SY, Youn SW - Ann Dermatol (2013)

The principal component is more suited for further analysis compared to red (R), green (G) and blue (B). Original image is Fig. 1A. (A) R color space gray image. (B) G color space gray image. (C) B color space gray image. (D) Principal component.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3756200&req=5

Figure 2: The principal component is more suited for further analysis compared to red (R), green (G) and blue (B). Original image is Fig. 1A. (A) R color space gray image. (B) G color space gray image. (C) B color space gray image. (D) Principal component.
Mentions: Through this transformation, the RGB space could be switched to another three-dimensional matrix. This is advantageous because the primary component of the transformed matrix contains more information than any dimensions of the previous RGB space. It enables us to deal with a one-dimensional gray image rather than the three-dimensional RGB, thus making CAIA much faster and more effective7. In fact, the primary component gray image represents the original colored version much better than that of R, G and B (Fig. 2).

Bottom Line: In the aspect of texture, the surface of the nevus showed the highest contrast and correlation.Finally, the color segmented pattern of the nevus and lentigo was far more concentric than that of seborrheic keratosis.We found that the subtle distinctions between nevus, lentigo and seborrheic keratosis, which are likely to be unrecognized by ocular inspection, are well emphasized and detected with the aid of software.

View Article: PubMed Central - PubMed

Affiliation: Department of Dermatology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.

ABSTRACT

Background: The differential diagnosis of common pigmented skin lesions is important in cosmetic dermatology. The computer aided image analysis would be a potent ancillary diagnostic tool when patients are hesitant to undergo a skin biopsy.

Objective: We investigated the numerical parameters discriminating each pigmented skin lesion from another with statistical significance.

Methods: For each of the five magnified digital images containing clinically diagnosed nevus, lentigo and seborrheic keratosis, a total of 23 parameters describing the morphological, color, texture and topological features were calculated with the aid of a self-developed image analysis software. A novel concept of concentricity was proposed, which represents how closely the color segmentation resembles a concentric circle.

Results: Morphologically, seborrheic keratosis was bigger and spikier than nevus and lentigo. The color histogram revealed that nevus was the darkest and had the widest variation in tone. In the aspect of texture, the surface of the nevus showed the highest contrast and correlation. Finally, the color segmented pattern of the nevus and lentigo was far more concentric than that of seborrheic keratosis.

Conclusion: We found that the subtle distinctions between nevus, lentigo and seborrheic keratosis, which are likely to be unrecognized by ocular inspection, are well emphasized and detected with the aid of software.

No MeSH data available.


Related in: MedlinePlus