scholarly journals Incoherent Radar Imaging for Breast Cancer Detection and Experimental Validation against 3D Multimodal Breast Phantoms

2021 ◽  
Vol 7 (2) ◽  
pp. 23
Author(s):  
Antonio Cuccaro ◽  
Angela Dell’Aversano ◽  
Giuseppe Ruvio ◽  
Jacinta Browne ◽  
Raffaele Solimene
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Breast Imaging ◽  
Experimental Validation ◽  
Reconstruction Algorithm ◽  
Breast Cancer Detection ◽  
Beam Forming ◽  
Clutter Rejection ◽  
Breast Phantom ◽  
Set Up

In this paper we consider radar approaches for breast cancer detection. The aim is to give a brief review of the main features of incoherent methods, based on beam-forming and Multiple SIgnal Classification (MUSIC) algorithms, that we have recently developed, and to compare them with classical coherent beam-forming. Those methods have the remarkable advantage of not requiring antenna characterization/compensation, which can be problematic in view of the close (to the breast) proximity set-up usually employed in breast imaging. Moreover, we proceed to an experimental validation of one of the incoherent methods, i.e., the I-MUSIC, using the multimodal breast phantom we have previously developed. While in a previous paper we focused on the phantom manufacture and characterization, here we are mainly concerned with providing the detail of the reconstruction algorithm, in particular for a new multi-step clutter rejection method that was employed and only barely described. In this regard, this contribution can be considered as a completion of our previous study. The experiments against the phantom show promising results and highlight the crucial role played by the clutter rejection procedure.

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

Imaging Approaches and Findings in the Reconstructed Breast: A Pictorial Essay

2011 ◽  
Vol 62 (1) ◽  
pp. 60-72 ◽  
Author(s):  
Anabel M. Scaranelo ◽  
Bridgette Lord ◽  
Riham Eiada ◽  
Stefan O. Hofer
Keyword(s):  
Breast Cancer ◽  
Breast Reconstruction ◽  
Cancer Detection ◽  
Reconstructive Surgery ◽  
Genetic Screening ◽  
Breast Imaging ◽  
Breast Cancer Detection ◽  
Imaging Findings ◽  
Pictorial Essay ◽  
Reconstructed Breast

Advances in breast imaging over the last 15 years have improved early breast cancer detection and management. After treatment for breast cancer, many women choose to have reconstructive surgery. In addition, with the availability of widespread genetic screening for breast cancer, an increasing number of women are choosing prophylactic mastectomies and subsequent breast reconstruction. The purpose of this pictorial essay is to present the spectrum of imaging findings in the reconstructed breast.

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.

scholarly journals Artificial Intelligence: A Primer for Breast Imaging Radiologists

2020 ◽  
Vol 2 (4) ◽  
pp. 304-314
Author(s):  
Manisha Bahl
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Cancer Detection ◽  
Breast Imaging ◽  
Breast Cancer Detection ◽  
Computer Algorithms ◽  
Prevention Strategies ◽  
Future Directions ◽  
Optimal Patient Care ◽  
Screening And Prevention

Abstract Artificial intelligence (AI) is a branch of computer science dedicated to developing computer algorithms that emulate intelligent human behavior. Subfields of AI include machine learning and deep learning. Advances in AI technologies have led to techniques that could increase breast cancer detection, improve clinical efficiency in breast imaging practices, and guide decision-making regarding screening and prevention strategies. This article reviews key terminology and concepts, discusses common AI models and methods to validate and evaluate these models, describes emerging AI applications in breast imaging, and outlines challenges and future directions. Familiarity with AI terminology, concepts, methods, and applications is essential for breast imaging radiologists to critically evaluate these emerging technologies, recognize their strengths and limitations, and ultimately ensure optimal patient care.

Implementation of a direct patient callback system improves compliance for additional breast imaging and early breast cancer detection

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 6073-6073
Author(s):  
D. Richard-Kowalski ◽  
D. Termeulen ◽  
M. Reed ◽  
R. Reyes ◽  
M. Kuliga ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Breast Cancer ◽  
Cancer Detection ◽  
Breast Imaging ◽  
Recall Rate ◽  
Screening Mammography ◽  
Breast Cancer Detection ◽  
Detection Methods ◽  
Diagnose Breast Cancer ◽  
Additional Imaging

6073 Background: Existing patient recall systems usually involve contacting the referring physician who then notifies the patient to schedule a return visit for further imaging. We set out to determine whether a direct patient callback system would improve patient compliance in returning for additional imaging including magnification, spot compression, and ultrasound, and whether that would translate to an improvement in early breast cancer detection. Methods: Beginning on 4/1/2004, we prospectively identified all patients whose screening mammograms were read as having an incomplete assessment that required additional imaging (ACR BIRADS 0). Those patients were contacted directly via telephone to return for additional views. Results: Between 11/1/2002 and 3/31/3004, 1142 patients with incomplete screening mammography were identified and the referring physicians were contacted. 956 of 1142 (84%) patients returned and underwent additional breast imaging. Between 4/1/2004 and 12/31/2005, 1,336 patients with incomplete screening mammography were contacted directly to return for additional imaging. 1,307 of 1,336 (98%) patients returned and underwent additional breast imaging. (p < 0.0001, Fisher’s exact test). 125 of the 1,307 (8.5%) of the subsequent exams were found to be suspicious and biopsy was recommended (ACR BIRADS 4 or 5). Conclusions: Our new system of contacting patients with incomplete mammography has significantly increased our recall rate. Implementation of this system has enabled us to identify those patients whose mammograms are suspicious and ultimately diagnose breast cancer earlier. Direct patient callback has become standard policy and we are recommending this system for all radiology recall examinations. No significant financial relationships to disclose.

scholarly journals Compact Wideband Microstrip Patch Antenna Design for Breast Cancer Detection

2021 ◽  
Vol 71 (03) ◽  
pp. 352-358
Author(s):  
Rakesh Singh ◽  
Naina Narang ◽  
Dharmendra Singh ◽  
Manoj Gupta
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Detection System ◽  
Breast Cancer Detection ◽  
Compact Antenna ◽  
Detection Techniques ◽  
Non Invasive ◽  
Impedance Contrast ◽  
Breast Phantom ◽  
Safety Limit

The current breast cancer detection techniques are mostly invasive and suffer from high cost, high false rate and inefficacy in early detection. These limitations can be subdued by development of non-invasive microwave detection system whose performance is predominantly dependent on the antenna used in the system. The designing of a compact wideband antenna and matching its impedance with breast phantom is a challenging task. In this paper, we have designed a compact antenna matched with the breast phantom operating in wideband frequency from 1 to 6 GHz capable to detect the dielectric (or impedance) contrast of the benign and malignant tissue. The impedance of the antenna is matched to a cubically shaped breast phantom and a very small tumor (volume=1 cm3). The antenna is tuned to the possible range of electrical properties of breast phantom and tumour (permittivity ranging from 10 to 20 and conductivity from 1.5 to 2.5 S/m). The return loss (S11), E-field distribution and specific absorption rate (SAR) are simulated. The operating band of antenna placed near the phantom without tumor was found to be (1.11-5.47)GHz and with tumor inside phantom is (1.29-5.50)GHz. Results also show that the SAR of the antenna is within the safety limit.

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