Automatic Diagnosis of Breast Abnormality Using Digital IR Camera
09 Jan 2014-pp 145-150
TL;DR: Infrared Thermography is a physiological test and is sensitive to physiological changes that are precancerous alarms that may lead to tumor and is proved to be an effective, adjunct and diagnostic tool in Breast Abnormality Detection.
Abstract: Breast Cancer is the most commonly diagnosed form of cancer in women Breast cancer can be treated effectively only if it is detected at earlier stage Mammography is recognized as the standard method for diagnosing breast cancer, Infrared Thermography based cancer diagnosis is able to detect cancer in its early stage of development and progression, thus survival is possible Clinical interpretation of breast thermo grams is primarily based on the asymmetry analysis of the heat patterns visually and subjectively In this paper an approach for segmentation of region of interest and asymmetry analysis of breast thermo grams is implemented Asymmetry analysis is performed according to the extracted features based on temperature distribution The abnormality of breast thermo grams is clearly indicated by these features and by comparison of the results with doctor's diagnosis Thus Infrared Thermography is a physiological test and is sensitive to physiological changes that are precancerous alarms that may lead to tumor and is proved to be an effective, adjunct and diagnostic tool in Breast Abnormality Detection
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21 Sep 2016
TL;DR: Analysis of breast thermograms based on segmentation of region of interest which is extracted as hot region followed by colour analysis and the results are compared with doctor’s diagnosis to confirm that infra-red thermography is a reliable diagnostic tool in breast cancer identification.
Abstract: Breast cancer is the commonly found cancer in women. Studies show that the detection at the earliest can bring down the mortality rate. Infrared Breast thermography uses the temperature changes in breast to arrive at diagnosis. Due to increased cell activity, the tumor and the surrounding areas has higher temperature emitting higher infrared radiations. These radiations are captured by thermal camera and indicated in pseudo colored image. Each colour of thermogram is related to specific range of temperature. The breast thermogram interpretation is primarily based on colour analysis and asymmetry analysis of thermograms visually and subjectively. This study presents analysis of breast thermograms based on segmentation of region of interest which is extracted as hot region followed by colour analysis. The area and contours of the hottest regions in the breast images are used to indicate abnormalities. These features are further given to ANN classifier for automated analysis. The results are compared with doctor’s diagnosis to confirm that infra-red thermography is a reliable diagnostic tool in breast cancer identification.
16 citations
Cites background or methods from "Automatic Diagnosis of Breast Abnor..."
...[6] This work presented an approach that deals with Automatic Analysis of Breast Thermograms using colour segmentation and feature extraction for abnormality detection....
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...[6] The doctors look for changes in colour and vascular patterns in the thermograms to detect the abnormality....
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...[6] Three methods are used for segmentation of hot spot namely K-Means Clustering, Fuzzy C Means, and Level set method....
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Dissertation•
23 Jul 2015
TL;DR: In this article, the authors make contributions to the knowledge of different phases of the digital treatment of thermograms, as well as to the application to real problems and to the solution to the detected shortcomings.
Abstract: espanolEl empleo de las tecnicas de medida mediante ensayos no destructivos por Termografia Infrarroja (TI) permite la evaluacion y control de todo tipo de materiales y procesos de forma rapida, sencilla y sin contacto. Por ello, se establecio como objetivo general de este trabajo de tesis el desarrollo de contribuciones al conocimiento de las diferentes etapas del tratamiento digital de los termogramas, asi como su aplicacion a problematicas reales y solucion a las carencias detectadas. Estas etapas estan constituidas por el acondicionamiento de las imagenes termicas (preprocesado) como paso previo al tratamiento (procesado) digital de las mismas, donde se mejora la identificacion de los defectos presentes en el material, permitiendo de esta forma su posterior analisis y caracterizacion (postprocesado). Los campos de aplicacion que abarcan estas contribuciones son variados: los Procesos de evaluacion e inspeccion de soldaduras, los ensayos en materiales compuestos para la industria aeronautica y las aplicaciones en el campo de la Deteccion de contaminantes en el medio ambiente y en el campo de la Industria textil militar. EnglishThe employment of measurement techniques using non-destructive testing with Infrared Thermography enables to evaluate and control all types of processes and materials, easily and without contact. For this reason, the overall objective of this thesis project is to make contributions to the knowledge of the different phases of the digital treatment of thermograms, as well as to the application to real problems and to the solution to the detected shortcomings. This process begins with the thermal imaging conditioning (preprocessing) as a previous step to the thermal imaging digital treatment (processing), where the identification of the material defects is improved, thus enabling its subsequent analysis and characterization (post-processing). The application fields of these contributions are varied: Welding evaluation and inspection processes, testing on composite materials for the aeronautics industry and the applications in Detection of pollutant in the environment and in Military textile industry.
10 citations
Cites background from "Automatic Diagnosis of Breast Abnor..."
...A partir del análisis de las anomalías en la distribución de temperatura en las mamas se pueden realizar diagnósticos del cáncer de mama que permiten actuar sobre los mismos en etapas tempranas [104-108]....
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01 Jan 2019
TL;DR: This paper enhances the knowledge on two imaging practices, one is mammography and another is thermography, which aids to identify the limitations in existing technologies and helps to plan the new methodology of bosom tumor detection.
Abstract: Since last 60 years, bosom (breast) tumor is the major cause of death amid females worldwide. Earliest possible detection will raise the endurance rate of patients. Premature detection of bosom tumor is big challenge in medical science. Medical studies proven that imaging modalities like mammography, thermography, ultrasound, and magnetic resonance imaging (MRI) play a vigorous role to detect breast irregularity earliest. This paper enhances the knowledge on two imaging practices, one is mammography and another is thermography. It aids to identify the limitations in existing technologies and helps to plan the new methodology.
9 citations
01 Dec 2018
TL;DR: Thermography is explored as a viable alternative to the standard mammography with advantages of being noninvasive, safe, portability and cost effectiveness, and increases the survival chances of the patient considerably as it can detect the cancer in initial stages.
Abstract: The mortality rates in women is highest due to breast cancer among other all the cancers in developed as well as in developing countries. As evident from the facts that mortality rate of 12.7 among 1, 00, 000 in India [1] and whereas in USA, estimated deaths of 40,610 women i.e. 6.8% of all cancer deaths in 2017. Mammography is considered to be the most accepted technique for breast cancer detection. In this paper, thermography is explored as a viable alternative to the mammography. As mammography has its own drawbacks of being a painful procedure, exposure of the body to harmful Xrays. This necessitates in exploring the other modalities preferably non-contact and without using any harmful radiations. Thermography is coming out to be an alternative to the standard mammography with advantages of being noninvasive, safe, portability and cost effectiveness. The temperature pattern of the breasts changes as a result of the high increased blood flow into affected cells. This gives the way to asymmetry between normal and cancerous breast which can be detected using different techniques. In this paper, 35 normal and 35 abnormal thermograms are taken from on line DMRDatabase for Mastology Research having breast thermograms for early detection of breast cancer. The texture features of the left and right breasts are extracted using Gabor filters. The thermograms are then classified using support vector machine (SVM) based on the textural asymmetry between the breasts into normal and cancerous cases. The accuracy achieved using Gabor features and SVM classifier is 84.5% The early detection of cancer using thermography increases the survival chances of the patient considerably as it can detect the cancer in initial stages.
8 citations
Cites background from "Automatic Diagnosis of Breast Abnor..."
...[7], mainly emphasizes on extracting the statistical features, to differentiate the normal thermograms from cancerous ones....
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TL;DR: This work is going to propose an advanced sensor enabled wearable technological tool design to detect breast abnormality, portable, patient comfortable, light weight, cost effective and suitable for dense breast, pregnant women and surgically altered breasts, younger women also.
Abstract: Our Historical records say that, Women are back bone to every family. Generally we observe that health risk rate in women increases depends on age. Statistical medical reports proven that, early identification of health risks will increase the survival rate of patient. From last sixty years, we heard that breast cancer is one of the big health dare for women after forty years of age. Early phase detection of breast tumor is a big research issue in both developed and developing countries. Due to the limits in existing breast abnormality detecting tools like mammography, thermography, ultrasound, MRI there is a need to introduce smart, cost effective, patient comfortable, nonionic radiated compact testing tool to detect breast abnormality at early stage. In this work I am going to propose an advanced sensor enabled wearable technological tool design to detect breast abnormality. This tool is portable, patient comfortable, light weight, cost effective and suitable for dense breast, pregnant women and surgically altered breasts, younger women also.
6 citations
Cites background from "Automatic Diagnosis of Breast Abnor..."
...But to attempt this test patient need to take some precautions to reduce the error rate in test [7, 8]....
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References
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TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Abstract: This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enough to delimit the desired behavior of the detector while making minimal assumptions about the form of the solution. We define detection and localization criteria for a class of edges, and present mathematical forms for these criteria as functionals on the operator impulse response. A third criterion is then added to ensure that the detector has only one response to a single edge. We use the criteria in numerical optimization to derive detectors for several common image features, including step edges. On specializing the analysis to step edges, we find that there is a natural uncertainty principle between detection and localization performance, which are the two main goals. With this principle we derive a single operator shape which is optimal at any scale. The optimal detector has a simple approximate implementation in which edges are marked at maxima in gradient magnitude of a Gaussian-smoothed image. We extend this simple detector using operators of several widths to cope with different signal-to-noise ratios in the image. We present a general method, called feature synthesis, for the fine-to-coarse integration of information from operators at different scales. Finally we show that step edge detector performance improves considerably as the operator point spread function is extended along the edge.
28,073 citations
Book•
01 Dec 2003
TL;DR: 1. Fundamentals of Image Processing, 2. Intensity Transformations and Spatial Filtering, and 3. Frequency Domain Processing.
Abstract: 1. Introduction. 2. Fundamentals. 3. Intensity Transformations and Spatial Filtering. 4. Frequency Domain Processing. 5. Image Restoration. 6. Color Image Processing. 7. Wavelets. 8. Image Compression. 9. Morphological Image Processing. 10. Image Segmentation. 11. Representation and Description. 12. Object Recognition.
6,306 citations
Journal Article•
282 citations
TL;DR: The aim of this paper is to study the problem of subjective interpretation of breast thermograms and hence using thermography as an adjunct tool for breast cancer diagnosis by proposing that the thermograms should be taken within the recommended screening period, classified and analysed in conjunction with an artificial neural network (ANN).
Abstract: Analysis of thermograms has often been subjective and has resulted in inconsistency in the diagnosis of breast diseases by thermography. The aim of this paper is to study the problem of subjective interpretation of breast thermograms and hence using thermography as an adjunct tool for breast cancer diagnosis. It ws proposed that the thermograms should be taken within the recommended screening period, classified and analysed in conjunction with an artificial neural network (ANN). Qualitative interpretation of thermal images can be carried out using an active contours algorithm. The 256 x 200 pixel image can be segmented as one of the inputs to the ANN. To achieve quantitative analysis of the breast thermograms, firstly the inputs of the ANN should be determined, so that the thermograms could be successfuly classified and based on the suggested inputs.
135 citations
Additional excerpts
...Segmented ROI of Thermogram...
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TL;DR: MR imaging, MDCT and US can complement MMG for the preoperative evaluation of patients who are candidates for breast-conserving surgery, although MR imaging had a substantial of risk of overestimation of the tumor extent.
Abstract: Introduction Breast imaging modalities can assess the tumor extent and adequacy of excision, but there have been no reports comparing magnetic resonance (MR) imaging, multidetector row computed tomography (MDCT), ultrasonography (US) and mammography (MMG) for the tumor extent of breast cancer. We prospectively assessed the accuracy of MR imaging, MDCT, US and MMG for preoperative assessment of the tumor extent of breast cancer. Methods Preoperative MR imaging, MDCT, US and MMG were performed for 210 breasts with breast cancer. The MR and MDCT images were independently interpreted by one of two radiologists with knowledge of the clinical and MMG findings. The US was performed with knowledge of the clinical and MMG findings by one of five US technologists. The correlation of the results of these examinations with histological findings was examined. Results Of the 210 index breast tumors, 210 (100%) could be detected on MR, 208 (99%) were detected on MDCT, 209 (99.5%) were detected on US, and 195 (93%) were detected on MMG. For evaluating local tumor extent, the accuracy of MR imaging (76%) was significantly higher than those of MDCT, US, and MMG (71%, 56%, and 52%, respectively) (P = 0.001, P < 0.0001, and P < 0.0001). MDCT was significantly more accurate than US (P < .0001) or MMG (P < .0001), and US was significantly more accurate than MMG (P = 0.004). MR imaging and US had substantial risk (11% and 17%) of overestimation of the tumor extent. Regarding ductal carcinoma in situ (DCIS), for non-comedo DCIS, the accuracies of MR imaging (89%), MDCT (72%), and US (61%) were significantly higher than the 22% accuracy of MMG (P < 0.0001, P = 0.012, and P = 0.016), but for comedo DCIS, there were no significant differences among the four breast imaging modalities. Conclusion MR imaging was the most accurate breast imaging modality for the tumor exten of breast cancer, although MR imaging had a substantial of risk of overestimation. MR imaging, MDCT and US can complement MMG for the preoperative evaluation of patients who are candidates for breast-conserving surgery.
99 citations
"Automatic Diagnosis of Breast Abnor..." refers background in this paper
...Mammography has been the gold standard for screening breast cancer, though as a screening tool its sensitivity and specificity are limited [5]....
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