Breast cancer detection in rotational thermography images using texture features

Francis, Sheeja V.; Sasikala, M.; Bharathi, G. Bhavani; Jaipurkar, Sandeep D.

doi:10.1016/j.infrared.2014.08.019

Cited by 46 publications

(18 citation statements)

References 34 publications

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“…The reported data, revealed a significant temperature difference, up to , between the tumor tissue and the surrounding normal tissue (Kateb et al, 2009). Thermography is a developing diagnostic technique based on the measurements of temperature gradients in the tissue and is well established in breast cancers (Francis et al, 2014;Saniei et al, 2015), eye diseases (Gonnermann et al, 2012;Tan et al, 2009) and skin cancers detection (Bhowmik et al, 2015;Cholewka et al, 2013).…”

Section: Introductionmentioning

confidence: 96%

Finite element modeling of haptic thermography: A novel approach for brain tumor detection during minimally invasive neurosurgery

Sadeghi-Goughari

Mojra

2015

Journal of Thermal Biology

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Section: Introductionmentioning

confidence: 96%

Finite element modeling of haptic thermography: A novel approach for brain tumor detection during minimally invasive neurosurgery

Sadeghi-Goughari

Mojra

2015

Journal of Thermal Biology

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“…Among those, mammography, considered as the gold standard method, is the most used tool to detect breast cancer [4]. However, mammography supposes certain disadvantages like being a painful method and the necessity of exposure to ionizing radiation [5]; besides the problems for detecting small-sized tumors in women with dense breast tissue [6]; and finally, in some countries, mammography is only applied to women over 40 years old [7] once or twice a year. Because of this, the use of additional non-invasive sensing technologies help the experts in the detection and diagnosis of breast cancer, which also face the problems presented in mammography, which are very important because, at the end, this provides higher chances of survival [8].…”

Section: Introductionmentioning

confidence: 99%

Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor

Garduño-Ramón

Vega-Mancilla

Morales-Henández

et al. 2017

Sensors

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Breast cancer is the leading disease in incidence and mortality among women in developing countries. The opportune diagnosis of this disease strengthens the survival index. Mammography application is limited by age and periodicity. Temperature is a physical magnitude that can be measured by using multiple sensing techniques. IR (infrared) thermography using commercial cameras is gaining relevance in industrial and medical applications because it is a non-invasive and non-intrusive technology. Asymmetrical temperature in certain human body zones is associated with cancer. In this paper, an IR thermographic sensor is applied for breast cancer detection. This work includes an automatic breast segmentation methodology, to spot the hottest regions in thermograms using the morphological watershed operator to help the experts locate the tumor. A protocol for thermogram acquisition considering the required time to achieve a thermal stabilization is also proposed. Breast thermograms are evaluated as thermal matrices, instead of gray scale or false color images, increasing the certainty of the provided diagnosis. The proposed tool was validated using the Database for Mastology Research and tested in a voluntary group of 454 women of different ages and cancer stages with good results, leading to the possibility of being used as a supportive tool to detect breast cancer and angiogenesis cases.

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“…However, they have not realized a non-contact impulse excitation against soft materials. Additionally, although Francis et al 22 investigated breast cancer detection using thermography, an elastography based on thermographic measurement has yet to be studied.…”

Section: Introductionmentioning

confidence: 99%

High spatial and temporal resolution measurement of mechanical properties in hydrogels by non-contact laser excitation

et al. 2016

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Gels have received increased attention as potential materials for biological materials because they can exhibit similar mechanical properties. One obstacle for using gels is that their mechanical properties are significantly altered by defects, such as an inhomogeneous crosslink density distribution. If these defects could be detected and the values and spatial distributions of mechanical properties in the gel could be determined, it would be possible to apply gels for several fields. To achieve the high spatial and temporal resolution measurement of mechanical properties in hydrogels, in our method, a conventional contact excitation device is replaced with a non-contact excitation using laser ablation for the input and magnetic resonance elastography to measure stress waves is replaced with the Schlieren method with a high-speed camera. Magnetic resonance elastography is a local measurement technique, and consequently, requires a lot of time to characterize a sample, as well as does not have sufficient spatial resolution to obtain a broad range of elasticity coefficients of gels. We use laser ablation to apply non-contact impulse excitations to gels to generate stress waves inside them. We can determine mechanical properties of gels using the stress waves’ propagation velocity.

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Breast cancer detection in rotational thermography images using texture features

Cited by 46 publications

References 34 publications

Finite element modeling of haptic thermography: A novel approach for brain tumor detection during minimally invasive neurosurgery

Finite element modeling of haptic thermography: A novel approach for brain tumor detection during minimally invasive neurosurgery

Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor

High spatial and temporal resolution measurement of mechanical properties in hydrogels by non-contact laser excitation

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