Overview of functional infrared imaging as part of a multi-imaging strategy for breast cancer detection and therapeutic monitoring

Keyserlingk, John R.; Ahlgren, Paul; Yassa, M.; Belliveau, N.

doi:10.1109/iembs.2002.1106309

Cited by 9 publications

(3 citation statements)

References 11 publications

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“…be expressed as the union of N(ε) not overlapping copies of itself scaled with ratio ε, and can be defined as [11]: (1) where N(ε) is the number of spheres of diameter ε required to cover the set A. With the other words, the above relation can be written as:…”

Section: Methodsmentioning

confidence: 99%

Using fractal analysis of thermal signatures for thyroid disease evaluation

et al. 2010

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The skin is the largest organ of the body and it protects against heat, light, injury and infection. Skin temperature is an important parameter for diagnosing diseases. Thermal analysis is non-invasive, painless, and relatively inexpensive, showing a great potential research. Since the thyroid regulates metabolic rate it is intimately connected to body temperature, more than, any modification of its function generates a specific thermal image on the neck skin. The shapes of thermal signatures are often irregular in size and shape. Euclidean geometry is not able to evaluate their shape for different thyroid diseases, and fractal geometry is used in this paper. Different thyroid diseases generate different shapes, and their complexity are evaluated by specific mathematical approaches, fractal analysis, in order to the evaluate selfsimilarity and lacunarity. Two kinds of thyroid diseases, hyperthyroidism and papillary cancer are analyzed in this paper. The results are encouraging and show the ability to continue research for thermal signature to be used in early diagnosis of thyroid diseases.

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Section: Methodsmentioning

confidence: 99%

Using fractal analysis of thermal signatures for thyroid disease evaluation

et al. 2010

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“…At present in USA several institutions are strongly involved in promotion of new ideas in IR thermal imaging, e.g. [9,10,11]. In Europe very active is the group of institutions acting in the field of non-destructive testing -Quantitative Infrared Thermography QIRT [12,13]; in medicine new projects concern standardization of procedures [14,15,16].…”

Section: Infrared Thermal Imagingmentioning

confidence: 99%

Advances of Quantitative IR-Thermal Imaging in Medical Diagnostics

Nowakowski¹

2006

Proceedings of the 2006 International Conference on Quantitative InfraRed Thermography

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This review will show the state of the art in thermal IR-imaging from the point of view of medical diagnostics. Advantages and limitations of IR thermal imaging, including tomography procedures, based on thermal properties of living tissues, will be presented. Properties of this modality will be discussed mainly from the point of view of skin burn evaluation. K e y w o r d s-thermal tissue properties, thermal tomography, medical diagnostics

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“…In 70% of cases, thermography can detect early signs of breast cancer up to a year before it is diagnosed with mammography [3]. It was shown that the average tumor diameter undetected by mammography was 1.66 cm, whereas the average tumor diameter undetected by thermal imaging was 1.28 cm [8,9]. As a risk indicator for breast cancer, an abnormal thermograph indicates increased risk of breast cancer by a factor of 22, and it is 10 times more significant than a first-order family history of breast cancer [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Breast boundary segmentation in thermography images based on random walkers

Moghbel¹,

Mashohor²,

Mahmud³

et al. 2017

Turk J Elec Eng & Comp Sci

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Breast and areola boundary detection and segmentation present the biggest challenge in breast segmentation from thermography images, as breast boundaries, especially in the upper quadrants of the breast, are nonexistent. Many segmentation approaches have been proposed for breast segmentation, such as active contours and snakes, circular Hough transforms, and live wires, but these methods often fail to achieve satisfactory results. With recent advances in image processing techniques, new segmentation concepts are being developed, such as random walkers, which have received high interest from the medical imaging community. In this study, 91 images acquired utilizing a FLIR A320 thermal camera are used for developing an automatic breast segmentation from thermography images based on the random walker algorithm. A series of enhancement filters are applied to the image to make areola detection more accurate.Afterwards, the areola is detected using a series of circular Hough transforms. The detected areola region is then utilized for automatic seed placement for the random walker algorithm. Based on expert radiologist evaluation, the proposed segmentation algorithm was able to achieve 81.3% success rate in breast segmentation, while there was a 37.5% increase in the detection of breast cancer-related abnormalities by radiologists utilizing the segmented images, compared to utilizing original images.

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Overview of functional infrared imaging as part of a multi-imaging strategy for breast cancer detection and therapeutic monitoring

Cited by 9 publications

References 11 publications

Using fractal analysis of thermal signatures for thyroid disease evaluation

Using fractal analysis of thermal signatures for thyroid disease evaluation

Advances of Quantitative IR-Thermal Imaging in Medical Diagnostics

Breast boundary segmentation in thermography images based on random walkers

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