Computer vision and digital imaging technology in melanoma detection

Impact of various color LED flashlights and different lighting source to skin distances on the manual and the computer-aided detection of basal cell carcinoma borders

BACKGROUND/AIMS

Quantitative analysis based on digital skin image has been proven to be helpful in dermatology. Moreover, the borders of the basal cell carcinoma (BCC) lesions have been challenging borders for the automatic detection methods. In this work, a computer-aided dermatoscopy system was proposed to enhance the clinical detection of BCC lesion borders.

METHODS

Fifty cases of BCC were selected and 2000 pictures were taken. The lesion images data were obtained with eight colors of flashlights and in five different lighting source to skin distances (SSDs). Then, the image-processing techniques were used for automatic detection of lesion borders. Further, the dermatologists marked the lesions on the obtained photos.

RESULTS

Considerable differences between the obtained values referring to the photographs that were taken at super blue and aqua green color lighting were observed for most of the BCC borders. It was observed that by changing the SSD, an optimum distance could be found where that the accuracy of the detection reaches to a maximum value.

CONCLUSION

This study clearly indicates that by changing SSD and lighting color, manual and automatic detection of BCC lesions borders can be enhanced.

Cross-evaluation of facial hyperpigmented lesions based on fluorescence color image and cross-polarized color image

BACKGROUND/PURPOSE

Hyperpigmentation is a common skin problem that looks darker than normal skin regions. Accurate evaluation of a hyperpigmented lesion (HPL) is of clinical importance because proper choice of treatment can be dependent on it. This study aimed to differentiate between epidermal and dermal HPLs.

METHODS

Cross-polarized color images (CPCIs) and fluorescence color images (FCIs) were acquired from the same facial regions. Contrast-limited adaptive histogram equalization (CLAHE) was employed to enhance the image contrast and a fuzzy c-means algorithm was implemented to extract the HPLs. The HPLs were superimposed to investigate the difference between CPCI and FCI.

RESULTS

The HPL was successfully extracted by applying both CLAHE and fuzzy c-means algorithms. CPCI and FCI resulted in a slightly different HPL, even from the same facial region, indicating a greater percentage area of HPL in FCI than CPCI.

CONCLUSION

CPCI and FCI may be utilized to differentiate HPLs that exist in different skin layers. Thus, this approach may contribute to the effective treatment of HPLs.

Reconstruction of hyperspectral cutaneous data from an artificial neural network-based multispectral imaging system

The development of an integrated MultiSpectral Imaging (MSI) system yielding hyperspectral cubes by means of artificial neural networks is described. The MSI system is based on a CCD camera, a rotating wheel bearing a set of seven interference filters, a light source and a computer. The resulting device has been elaborated for in vivo imaging of skin lesions. It provides multispectral images and is coupled with a software reconstructing hyperspectral cubes from multispectral images. Reconstruction is performed by a neural network-based algorithm using heteroassociative memories. The resulting hyperspectral cube provides skin optical reflectance spectral data combined with bidimensional spatial information. This combined information will hopefully improve diagnosis and follow-up in a range of skin disorders from skin cancer to inflammatory diseases.

Malignant melanoma in the 21st century, part 1: epidemiology, risk factors, screening, prevention, and diagnosis

Malignant melanoma is an aggressive, therapy-resistant malignancy of melanocytes. The incidence of melanoma has been steadily increasing worldwide, resulting in an increasing public health problem. Exposure to solar UV radiation, fair skin, dysplastic nevi syndrome, and a family history of melanoma are major risk factors for melanoma development. The interactions between genetic and environmental risk factors that promote melanomagenesis are currently the subject of ongoing research. Avoidance of UV radiation and surveillance of high-risk patients have the potential to reduce the population burden of melanoma. Biopsies of the primary tumor and sampling of draining lymph nodes are required for optimal diagnosis and staging. Several clinically relevant pathologic subtypes have been identified and need to be recognized. Therapy for early disease is predominantly surgical, with a minor benefit noted with the use of adjuvant therapy. Management of systemic melanoma is a challenge because of a paucity of active treatment modalities. In the first part of this 2-part review, we discuss epidemiology, risk factors, screening, prevention, and diagnosis of malignant melanoma. Part 2 (which will appear in the April 2007 issue) will review melanoma staging, prognosis, and treatment.

Integrating digital image management software for improved patient care and optimal practice management

BACKGROUND

Photographic images provide vital documentation of preoperative, intraoperative, and postoperative results in the clinical dermatologic surgery practice and can document histologic findings from skin biopsies, thereby enhancing patient care. Images may be printed as part of text documents, transmitted via electronic mail, or included in electronic medical records.

OBJECTIVES

To describe existing computer software that integrates digital photography and the medical record to improve patient care and practice management.

CONCLUSIONS

A variety of computer applications are available to optimize the use of digital images in the dermatologic practice.

Fundamentos da fotografia digital em Dermatologia

A tecnologia digital promoveu grande popularização do registro fotográfico em diversas áreas médicas. A dermatologia, por sua natureza visual, vem absorvendo os benefícios dessa ferramenta na prática clínica e na pesquisa. Este artigo visa orientar o dermatologista não familiarizado com essa tecnologia, oferecendo noções para o melhor uso do equipamento de fotografia digital.

Colorimetric analysis of pigmented skin lesions: a pilot study with the Visi-Chroma VC-100 device

BACKGROUND

Definition of the colour of pigmented skin lesions (PSLs) with the naked eye remains subjective and may be influenced by lighting. This problem underlines the usefulness of instrumental assessments such as epiluminescence microscopy and colorimetric devices.

OBJECTIVE AND METHODS

We describe here a new method of colour analysis of PSLs with the Visi-Chroma VC-100 device, which illuminates the surface of the skin with white light-emitting diodes (LEDs) and analyses the reflected light by a red-green-blue (RGB) charge-coupled device (CCD) colour camera. Twenty-one PSLs to be excised for cosmetic or medical reasons were analysed by this device with clinicopathological correlation.

CONCLUSIONS

This method is feasible and might be useful to assess the colour of PSLs and allow comparisons for changes over time. Further studies are needed to determine the usefulness of this device in clinical practice.

MRI tissue characterization of experimental cerebral ischemia in rat

PURPOSE

To extend the ISODATA image segmentation method to characterize tissue damage in stroke, by generating an MRI score for each tissue that corresponds to its histological damage.

MATERIALS AND METHODS

After preprocessing and segmentation (using ISODATA clustering), the proposed method scores tissue regions between 1 and 100. Score 1 is assigned to normal brain matter (white or gray matter), and score 100 to cerebrospinal fluid (CSF). Lesion zones are assigned a score based on their relative levels of similarities to normal brain matter and CSF. To evaluate the method, 15 rats were imaged by a 7T MRI system at one of three time points (acute, subacute, chronic) after MCA occlusion. Then they were killed and their brains were sliced and prepared for histological studies. MRI of two or three slices of each rat brain (using two DWI (b = 400, b = 800), one PDWI, one T2WI, and one T1WI) was performed, and an MRI score between 1 and 100 was determined for each region. Segmented regions were mapped onto the histology images and scored on a scale of 1-10 by an experienced pathologist. The MRI scores were validated by comparison with histology scores. To this end, correlation coefficients between the two scores (MRI and histology) were determined.

RESULTS

Experimental results showed excellent correlations between MRI and histology scores at different time points. Depending on the reference tissue (gray matter or white matter) used in the standardization, the correlation coefficients ranged from 0.73 (P < 0.0001) to 0.78 (P < 0.0001) using the entire dataset, including acute, subacute, and chronic time points. This suggests that the proposed multiparametric approach accurately identified and characterized ischemic tissue in a rat model of cerebral ischemia at different stages of stroke evolution.

CONCLUSION

The proposed approach scores tissue regions and characterizes them using unsupervised clustering and multiparametric image analysis techniques. The method can be used for a variety of applications in the field of computer-aided diagnosis and treatment, including evaluation of response to treatment. For example, volume changes for different zones of the lesion over time (e.g., tissue recovery) can be evaluated.

Biomarkers in melanoma: predisposition, screening and diagnosis

Melanoma's incidence and mortality for certain groups has appeared to level off after a steady increase over the last half century. This trend is suspected to be due to better detection and removal of thin, biological early melanomas. However, to date, no prospective evidence exists to clearly demonstrate the efficacy of prevention and early detection in decreasing melanoma mortlity. Nonetheless, many studies suggest that both self-assessment of risk factors or clinician examination can identify a proportion of patients at highest risk for melanoma who may benefit from behavior modification (primary prevention) and routine screening (secondary prevention). Compromising these goals is the fact that neither the clinical or histologic diagnosis of melanoma is 100% accurate. Clinical diagnosis of melanoma, based on evaluation of a skin lesion's color and shape, correlates best with the experience of the clinician. Ancillary technologies have been developed to improve clinical accuracy of suspicious skin lesions but a subset of melanomas exist that do not fall in the spectrum of the 'ABCDE' guidelines commonly used for melanoma identification. Similarly, at the histologic level (the 'gold standard' of diagnosis), overlap exists between benign and malignant melanocytic proliferations leading to both over and underdiagnosis of melanoma. A better understanding of melanoma's pathogenesis has identified disease-related biomarkers that may more reliably differentiate a melanocytic nevus from melanoma. In this paper, we review current and novel, potentially more accurate, biomarkers and supplementary technologies that can be used for the prevention, screening and diagnosis of melanoma.