scholarly journals A Feasibility Study for Microwave Breast Cancer Detection Using Contrast-Agent-Loaded Bacterial Microbots

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Yifan Chen ◽  
Panagiotis Kosmas ◽  
Sylvain Martel
Keyword(s):  
Contrast Agent ◽  
Cancer Detection ◽  
Breast Tumor ◽  
Breast Tissue ◽  
Magnetotactic Bacteria ◽  
New Approach ◽  
Innovative Strategies ◽  
Breast Phantom ◽  
Magnetic Gradients ◽  
Multiple Swarms

We propose a new approach to microwave breast tumor sensing and diagnosis based on the use of biocompatible flagellated magnetotactic bacteria (MTB) adapted to operate in human microvasculature. It has been verified experimentally by Martel et al. that externally generated magnetic gradients could be applied to guide the MTB along preplanned routes inside the human body, and a nanoload could be attached to these bacterial microbots. Motivated by these useful properties, we suggest loading a nanoscale microwave contrast agent such as carbon nanotubes (CNTs) or ferroelectric nanoparticles (FNPs) onto the MTB in order to modify the dielectric properties of tissues near the agent-loaded bacteria. Subsequently, we propose a novel differential microwave imaging (DMI) technique to track simultaneously multiple swarms of MTB microbots injected into the breast. We also present innovative strategies to detect and localize a breast tissue malignancy and estimate its size via this DMI-trackable bacterial microrobotic system. Finally, we use an anatomically realistic numerical breast phantom as a platform to demonstrate the feasibility of this tumor diagnostic method.

scholarly journals Complex Dielectric Coefficient of Breast Phantom Prepared for Breast Cancer Detection

2013 ◽  
Vol 123 (2) ◽  
pp. 464-466 ◽  
Author(s):  
A. Sayinti ◽  
E. Açikalin ◽  
K. Çoban ◽  
A. Vertii
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Breast Phantom ◽  
Dielectric Coefficient

scholarly journals A Rare Case of Anterior Chest Wall Schwannoma Masquerading as a Breast Tumor

2014 ◽  
Vol 99 (3) ◽  
pp. 196-199 ◽  
Author(s):  
Takaaki Fujii ◽  
Reina Yajima ◽  
Hiroki Morita ◽  
Soichi Tsutsumi ◽  
Takayuki Asao ◽  
...  
Keyword(s):  
Peripheral Nerves ◽  
Breast Tumor ◽  
Breast Tissue ◽  
Subcutaneous Tissue ◽  
Anterior Chest Wall ◽  
The Body ◽  
Unusual Site ◽  
Current Case ◽  
Breast Parenchyma ◽  
Spinal Roots

Abstract A schwannoma is a tumor that develops on peripheral nerves or spinal roots. Although any part of the body can be affected, the breast is a quite unusual site for schwannomas. We report herein a case of schwannoma presenting as a breast tumor. In the current case, the tumor showed both clinically and mammographically as a well-defined breast mass. Of interest, sonographically, the well-defined mass appeared to be located in subcutaneous tissue, not in breast parenchyma, and this finding was confirmed histopathologically. These findings indicate the possibility that a schwannoma arising from subcutaneous breast tissue can show exophytic growth to the breast and appear as a breast tumor. In other words, our case implies the possible presence of a “pseudo” breast schwannoma.

The Improvement and Quantitative Assessment of B-Mode Images Produced by an Annular Array/Cone Hybrid

1983 ◽  
Vol 5 (3) ◽  
pp. 195-213 ◽  
Author(s):  
M. S. Patterson ◽  
F. S. Foster
Keyword(s):  
Quantitative Assessment ◽  
Breast Tissue ◽  
Imaging Systems ◽  
Depth Of Field ◽  
Scattering Medium ◽  
Human Breast ◽  
Human Breast Tissue ◽  
New Approach ◽  
Annular Array

Hybrid ultrasound imaging systems, which combine spherical focusing on transmit with axicon focusing on receive, provide excellent resolution over a useful depth of field. This paper presents a new hybrid design with improved sensitivity, in which the axicon focusing is achieved by two conical mirrors and a PZT 5A disk cut into 8 sectors. We have investigated two methods of processing the signals from the 8 sectors. In the first, phase insensitive sector addition (PISA), the B-scan is formed from the sum of the 8 demodulated signals. In the second, multiplicative processing (MP), the 8 rf waveforms are multiplied and the resultant is demodulated to form the image. Both techniques result in smoothed speckle but degraded lateral resolution. As well, MP decreases the off-axis sensitivity of the system and artifacts characteristic of axicon focusing. Quantitative assessment of the effects of PISA and MP was performed using a new approach called contrast-to-speckle ratio (CSR). The CSR data, which is a measure of the image contrast of cylindrical voids in a random scattering medium relative to contrast fluctuations due to speckle, shows the superiority of PISA and MP. This conclusion is supported by images of in vitro human breast tissue.

Breast Tumor Detection Via Fuzzy Morphological Operations

2019 ◽  
Vol 11 (1) ◽  
pp. 33-44
Author(s):  
Mohammed Y. Kamil ◽  
Ali Mohammed Salih
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Breast Tumor ◽  
Early Detection Of Cancer ◽  
Breast Tumors ◽  
Morphological Operations ◽  
Key Factors ◽  
Fuzzy Morphology ◽  
High Flexibility ◽  
Statistical Results

Breast cancer is one of most dangerous diseases and more common in women. The early detection of cancer is one of the most key factors for possible cure. There are numerous methods of diagnosis amongst which: clinical examination, sonar and mammography, which is the best and more effective in detecting breast cancer. Detection of breast tumors is difficult because of the weak illumination in the image and the overlap between regions. Segmentation is one the crucial steps in locating the tumors, which is an important method of diagnosis of the computer. In this study, segmentation techniques are proposed based on; classic morphology and fuzzy morphology, and a comparison between them. The proposed methods were tested using the database of mini -MIAS, which contains 322 images. After the comparison the statistical results, it shows, the detection of tumor boundary with fuzzy morphology give the higher accuracy than the results in classic morphology. The accuracy is 60.69%, 58.61% respectively due to the high flexibility of foggy logic in dealing with the low lighting in the medical images.

Multimodal Ultrasonic Imaging for Breast Cancer Detection

2012 ◽  
Vol 37 (3) ◽  
pp. 253-260 ◽  
Author(s):  
Jorge Camacho ◽  
Luis Medina ◽  
Jorge F. Cruza ◽  
José M. Moreno ◽  
Carlos Fritsch
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Current Practice ◽  
Ultrasonic Transducer ◽  
Screening Method ◽  
Phase Coherence ◽  
Breast Cancer Detection ◽  
Surrounding Tissue ◽  
Dense Breast Tissue ◽  
Breast Phantom

Abstract Ultrasound is used for breast cancer detection as a technique complementary to mammography, the standard screening method. Current practice is based on reflectivity images obtained with conventional instruments by an operator who positions the ultrasonic transducer by hand over the patient’s body. It is a non-ionizing radiation, pain-free and not expensive technique that provides a higher contrast than mammography to discriminate among fluid-filled cysts and solid masses, especially for dense breast tissue. However, results are quite dependent on the operator’s skills, images are difficult to reproduce, and state-of-the-art instruments have a limited resolution and contrast to show micro-calcifications and to discriminate between lesions and the surrounding tissue. In spite of their advantages, these factors have precluded the use of ultrasound for screening. This work approaches the ultrasound-based early detection of breast cancer with a different concept. A ring array with many elements to cover 360◦ around a hanging breast allows obtaining repeatable and operator-independent coronal slice images. Such an arrangement is well suited for multi-modal imaging that includes reflectivity, compounded, tomography, and phase coherence images for increased specificity in breast cancer detection. Preliminary work carried out with a mechanical emulation of the ring array and a standard breast phantom shows a high resolution and contrast, with an artifact-free capability provided by phase coherence processing.

Evaluation of diagnostic accuracy in free-response detection-localization tasks using ROC tools

2018 ◽  
Vol 28 (6) ◽  
pp. 1808-1825 ◽  
Author(s):  
Andriy I Bandos ◽  
Nancy A Obuchowski
Keyword(s):  
Cancer Detection ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Roc Curves ◽  
Design Parameters ◽  
Diagnostic Systems ◽  
Free Response ◽  
New Approach ◽  
Alternative Approaches ◽  
Response Detection

Diagnostic systems designed to detect possibly multiple lesions per patient (e.g. multiple polyps during CT colonoscopy) are often evaluated in “free-response” studies that allow for diagnostic responses unconstrained in their number and locations. Analysis of free-response studies requires extensions of the traditional receiver operating characteristic (ROC) analysis, which are termed free-response ROC (FROC) methodology. Despite substantial developments in this area, FROC tools and approaches are much more cumbersome than traditional ROC methods. Alternative approaches that use well-known ROC tools (e.g. ROI-ROC) require defining and physically delineating regions of interest (ROI) and combine FROC data within ROIs. We propose an approach that allows analyzing FROC data using conventional ROC tools without delineating the actual ROIs or reducing data. The design parameters of FROC study are used to make FROC data analyzable using ROC tools and to calibrate the corresponding FROC and ROC curves on both conceptual and numerical levels. Differences in the performance indices of the nonparametric FROC and the new approach are shown to be asymptotically negligible and typically rather small in practice. Data from a large multi-reader study of colon cancer detection are used to illustrate the new approach.

Circumscribed Mass: Fibroadenoma

2018 ◽  
Author(s):  
Mark D. Kettler
Keyword(s):  
Differential Diagnosis ◽  
Breast Tumor ◽  
Breast Tissue ◽  
Overwhelming Majority ◽  
Imaging Features ◽  
Peak Incidence ◽  
Diagnosis And Management ◽  
The Third ◽  
Terminal Duct Lobular Unit ◽  
Management Recommendations

A fibroadenoma is a benign fibroepithelial breast tumor arising from the terminal duct-lobular unit (TDLU), composed of epithelial and stromal elements. The overwhelming majority of fibroadenomas present as palpable or imaging-detected circumscribed masses showing sharp demarcation between the lesion and the adjacent breast tissue. Fibroadenomas are the most common benign breast tumor occurring in women, with a peak incidence in the third and fourth decades, but they can occur from childhood through the eight decade of life. This chapter, appearing in the section on asymmetry, mass, and distortion, reviews the key clinical and imaging features, differential diagnosis, and management recommendations for fibroadenomas.

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