Development of a three-dimensional surrogate geometry of the breast and its use in estimating the thermal conductivities of breast tissue and breast lesions based on infrared images

Melo, João Roberto Ferreira de; Queiroz, José Reginaldo Alves; Bezerra, Luciana Ângelo; Lima, Ricardo Carvalho

doi:10.1016/j.icheatmasstransfer.2019.104279

Cited by 5 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A surrogate 3D breast geometry was developed by Ferreira de Melo et al [88] using the breast profile curve obtained from IR images. Moreover, an external prosthesis was used to dimension the thoracic wall in order to adjust the total volume of the model.…”

Section: Inverse Modelingmentioning

confidence: 99%

A Review of Techniques and Bio-Heat Transfer Models Supporting Infrared Thermal Imaging for Diagnosis of Malignancy

D’Alessandro,

Tavakolian,

Sfarra

2024

Applied Sciences

View full text Add to dashboard Cite

The present review aims to analyze the application of infrared thermal imaging, aided by bio-heat models, as a tool for the diagnosis of skin and breast cancers. The state of the art of the related technical procedures, bio-heat transfer modeling, and thermogram post-processing methods is comprehensively reviewed. Once the thermal signatures of different malignant diseases are described, the updated thermographic techniques (steady-state and dynamic) used for cancer diagnosis are discussed in detail, along with the recommended best practices to ensure the most significant thermal contrast observable between the cancerous and healthy tissues. Regarding the dynamic techniques, particular emphasis is placed on innovative methods, such as lock-in thermography, thermal wave imaging, and rotational breast thermography. Forward and inverse modeling techniques for the bio-heat transfer in skin and breast tissues, supporting the thermographic examination and providing accurate data for training artificial intelligence (AI) algorithms, are reported with a special focus on real breast geometry-based 3D models. In terms of inverse techniques, different data processing algorithms to retrieve thermophysical parameters and growth features of tumor lesions are mentioned. Post-processing of infrared images is also described, citing both conventional processing procedures and applications of AI algorithms for tumor detection.

show abstract

Section: Inverse Modelingmentioning

confidence: 99%

A Review of Techniques and Bio-Heat Transfer Models Supporting Infrared Thermal Imaging for Diagnosis of Malignancy

D’Alessandro,

Tavakolian,

Sfarra

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…To reduce the prevalence of the breast cancer and mortality rates, the detection of the disease at its earliest stage is vital. 1–13 According to the American Cancer Society, breast cancer is one of the most common cancer among young people at the age between 20 to 39. 2…”

Section: Introductionmentioning

confidence: 99%

“…The problem of the tumor size and location identification based on IR thermography is related to the so-called “inverse thermal problem”. There were a few studies, 5–10 that made contributions to solve the breast cancer “inverse problem”. Mitra and Balaji 5 presented a method of using artificial neural network and genetic algorithm to evaluate the tumor metabolic heat generation, location and size by using 2D multilayer model of the breast.…”

Section: Introductionmentioning

confidence: 99%

“…These works were developed based on the 3D hemispherical breast model for steady-state analysis. Studies 4,10 conducted steady state and transient analysis by using Lavenberg-Marquard method to simultaneously estimate multiple properties of the breast tissue. These studies showed that transient analysis is more appropriate for the tumor stage evaluation using blood perfusion based on the temperature distribution.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Inverse thermal modeling and experimental validation for breast tumor detection by using highly personalized surface thermal patterns and geometry of the breast

Mukhmetov

Mashekova

Zhao

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

Infrared (IR) Thermography is currently a supplementary technique for breast cancer diagnosis. There have been studies using IR thermography and numerical modeling in an attempt to detect tumor inside the breast. Most of these studies focused on either the “forward modeling” problem or only used idealized or population-averaged patients’ data, whereas identification of the tumor inside the breast based on the thermal pattern is an “inverse modeling” problem dependent on personalized information of the patient. Inverse modeling is based on the idea that the surface thermal pattern of the breast can be used to determine the tumor features based on physical and physiological principles. The current study aims to develop a well-validated inverse thermal modeling framework that could be used to determine the depth and size of tumor inside a breast based on personalized patients’ breast data, such as thermogram and 3D geometry using efficient design optimization techniques and Finite Element Modeling (FEM) to support the process. The numerical modeling was validated by the experiments, conducted using artificial breasts. Results show that although DIRECT Optimization method can be employed to find the depth and size of the tumor with good accuracy, the technique can be very time consuming. On the other hand, Response Surface Optimization method is also able to find the depth and size of the tumor with less accuracy but faster when compared with DIRECT Optimization. The last method tested, Nelder-Mead method, failed to detect the tumor. The study concludes that Response Surface Optimization method should be used first, and after the range of parameters are found, the DIRECT optimization method can be applied for more accurate results. However the GA method was found to be the only viable and efficient design optimization method for reverse modeling when blood perfusion was adopted in the breast model and many parameters were searched for with patient specific data input for breast tumor diagnosis.

show abstract

An improved sequential quadratic programming method for identifying the total heat exchange factor of reheating furnace

Ji,

Li,

Wei

et al. 2024

International Journal of Thermal Sciences

View full text Add to dashboard Cite

Development of a three-dimensional surrogate geometry of the breast and its use in estimating the thermal conductivities of breast tissue and breast lesions based on infrared images

Cited by 5 publications

References 30 publications

A Review of Techniques and Bio-Heat Transfer Models Supporting Infrared Thermal Imaging for Diagnosis of Malignancy

A Review of Techniques and Bio-Heat Transfer Models Supporting Infrared Thermal Imaging for Diagnosis of Malignancy

Inverse thermal modeling and experimental validation for breast tumor detection by using highly personalized surface thermal patterns and geometry of the breast

An improved sequential quadratic programming method for identifying the total heat exchange factor of reheating furnace

Contact Info

Product

Resources

About