scholarly journals Semiautomated Multimodal Breast Image Registration

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Charlotte Curtis ◽  
Richard Frayne ◽  
Elise Fear
Keyword(s):  
Breast Imaging ◽  
Goodness Of Fit ◽  
Subjective Assessment ◽  
Mr Images ◽  
New Techniques ◽  
Multiple Modalities ◽  
Breast Image ◽  
Image Pairs ◽  
Breast Tissues ◽  
Internal Agreement

Consideration of information from multiple modalities has been shown to have increased diagnostic power in breast imaging. As a result, new techniques such as microwave imaging continue to be developed. Interpreting these novel image modalities is a challenge, requiring comparison to established techniques such as the gold standard X-ray mammography. However, due to the highly deformable nature of breast tissues, comparison of 3D and 2D modalities is a challenge. To enable this comparison, a registration technique was developed to map features from 2D mammograms to locations in the 3D image space. This technique was developed and tested using magnetic resonance (MR) images as a reference 3D modality, as MR breast imaging is an established technique in clinical practice. The algorithm was validated using a numerical phantom then successfully tested on twenty-four image pairs. Dice's coefficient was used to measure the external goodness of fit, resulting in an excellent overall average of 0.94. Internal agreement was evaluated by examining internal features in consultation with a radiologist, and subjective assessment concludes that reasonable alignment was achieved.

scholarly journals The Relationship between Serum Estrogen Levels and Presence of Benign Lesions in Uterus Thyroid Gland and Breasts

2019 ◽  
pp. 1
Author(s):  
Zeynep Nilufer Tekin ◽  
Tuna Demirbas ◽  
Bercem Aycicek ◽  
Esin Derin Cicek
Keyword(s):  
Breast Imaging ◽  
Thyroid Nodules ◽  
Premenopausal Women ◽  
Thyroid Stimulating Hormone ◽  
Uterine Myoma ◽  
Benign Tumors ◽  
Breast Lesions ◽  
Benign Lesions ◽  
Breast Image ◽  
Icd 10

<p><strong>Objective:</strong> We aimed to detect co-occurrence of uterine myomas, thyroid nodules and breast lesions and to investigate association between these benign tumors with estrogen levels.</p><p><strong>Study Design:</strong> In this retrospective cohort study, records of 8008 premenopausal women were analyzed who admitted to the Darıca Farabi State Hospital for routine breast image investigation and which were performed by the same radiologist between 2011 and 2016. 251 patients who had both thyroid and Pelvic Ultrasound (US) examinations in the same year were extracted from these 8008 patients. All data were obtained from file records and ICD-10 diagnosis code of electronic database of the hospital. For breast examination, breast imaging reporting and data system (BIRADS) terminology was used. </p><p><strong>Results:</strong> The mean age of the patients at the admission to the hospital was 32 ± 5.7 years. From 251 patients only 9 patients had benign lesions in all 3 organs, whereas 63 patients had both thyroid nodules and breast lesions and 5 patients had thyroid nodules and uterine myoma, and 7 patients had BIRADS 2,3 lesions and uterine myoma, respectively. We only found a relationship between age and existence of myoma uteri and thyroid nodule. (p=0.008, for both). Among hormones, only TSH (Thyroid stimulating hormone) was found to be lower in BIRADS 2,3 lesions than BIRADS 1 lesions (p=0.017). </p><p><strong>Conclusion:</strong> Our study did not show an association between estrogen levels and presence of benign lesions in different organs according to the radiologic investigation in premenopausal women.</p>

scholarly journals 3D Breast Image Registration — A Review

2005 ◽  
Vol 4 (1) ◽  
pp. 39-48 ◽  
Author(s):  
Radhika Sivaramakrishna
Keyword(s):  
Image Registration ◽  
Breast Imaging ◽  
Control Point ◽  
Breast Mri ◽  
Breast Ultrasound ◽  
Ultrasound Images ◽  
Post Contrast ◽  
Positron Emission ◽  
Breast Image ◽  
Primary Focus

Image registration is an important problem in breast imaging. It is used in a wide variety of applications that include better visualization of lesions on pre- and post-contrast breast MRI images, speckle tracking and image compounding in breast ultrasound images, alignment of positron emission, and standard mammography images on hybrid machines et cetera. It is a prerequisite to align images taken at different times to isolate small interval lesions. Image registration also has useful applications in monitoring cancer therapy. The field of breast image registration has gained considerable interest in recent years. While the primary focus of interest continues to be the registration of pre- and post-contrast breast MRI images, other areas like breast ultrasound registration have gained more attention in recent years. The focus of registration algorithms has also shifted from control point based semiautomated techniques, to more sophisticated voxel based automated techniques that use mutual information as a similarity measure. This paper visits the problem of breast image registration and provides an overview of the current state-of-the-art in this area.

scholarly journals Assessing Patient-Specific Microwave Breast Imaging in Clinical Case Studies

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8048
Author(s):  
Declan O’Loughlin ◽  
Muhammad Adnan Elahi ◽  
Benjamin R. Lavoie ◽  
Elise C. Fear ◽  
Martin O’Halloran
Keyword(s):  
Dielectric Properties ◽  
Case Studies ◽  
Breast Imaging ◽  
Clinical Case ◽  
Experimental Studies ◽  
Patient Specific ◽  
Advantages And Disadvantages ◽  
Breast Image ◽  
Clinical Case Studies ◽  
Microwave Breast Imaging

Microwave breast imaging has seen increasing use in clinical investigations in the past decade with over eight systems having being trialled with patients. The majority of systems use radar-based algorithms to reconstruct the image shown to the clinician which requires an estimate of the dielectric properties of the breast to synthetically focus signals to reconstruct the image. Both simulated and experimental studies have shown that, even in simplified scenarios, misestimation of the dielectric properties can impair both the image quality and tumour detection. Many methods have been proposed to address the issue of the estimation of dielectric properties, but few have been tested with patient images. In this work, a leading approach for dielectric properties estimation based on the computation of many candidate images for microwave breast imaging is analysed with patient images for the first time. Using five clinical case studies of both healthy breasts and breasts with abnormalities, the advantages and disadvantages of computational patient-specific microwave breast image reconstruction are highlighted.

scholarly journals Evaluation of a Coherent Point Drift Algorithm for Breast Image Registration via Surface Markers

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Ghazaleh Ahmadian ◽  
C. Sean Bohun ◽  
Mehran Ebrahimi
Keyword(s):  
Breast Tissue ◽  
Breast Magnetic Resonance Imaging ◽  
Three Dimensional ◽  
Surface Markers ◽  
Mr Images ◽  
Breast Image ◽  
Breast Mr ◽  
Coherent Point Drift ◽  
Breast Magnetic Resonance ◽  
Magnetic Resonance Imaging Mri

Breast Magnetic Resonance Imaging (MRI) is a reliable imagingtool for localization and evaluation of lesions prior to breast conservingsurgery (BCS). MR images typically will be used to determinethe size and location of the tumours before making the incisionin order to minimize the amount of tissue excised.The arm position and configuration of the breast during andprior to surgery are different and one question is whether it wouldbe possible to match the two configurations. This matching processcan potentially be used in development of tools to guide surgeonsin the incision process.Recently, a Thin-Plate-Spline (TPS) algorithm has been proposedto assess the feasibility of breast tissue matching using fiducialsurface markers in two different arm positions. The registrationalgorithm uses the surface markers only and does not employ theimage intensities.In this manuscript, we apply and evaluate a coherent point drift(CPD) algorithm for registration of three-dimensional breast MR imagesof six patient volunteers. In particular, we evaluate the resultsof the previous TPS registration technique to the proposed rigidCPD, affine CPD, and deformable CPD registration algorithms onthe same patient datasets.The preliminary results suggest that the CPD deformable registrationalgorithm is superior in correcting the motion of the breastcompared to CPD rigid, affine and TPS registration algorithms.

Electro-impedance mammograms for automatic breast cancer screening: First insights on Mexican patients

2021 ◽  
pp. 1-13
Author(s):  
Rosario Lissiet Romero Coripuna ◽  
Delia Irazú Hernández Farías ◽  
Blanca Olivia Murillo Ortiz ◽  
Teodoro Córdova Fraga
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Data Augmentation ◽  
Screening Tools ◽  
Health Concern ◽  
Important Health ◽  
Invasive Method ◽  
First Time ◽  
Breast Tissues ◽  
Mexican Patients

Breast cancer is a very important health concern around the world. Early detection of such a disease increases the chances of survival. Among the available screening tools, there is the Electro-Impedance Mammography (EIM), which is a novel and less invasive method that captures the potential difference stored in breast tissues under the assumption that electrical properties among normal and pathologically altered tissues are different. In this paper, we address breast cancer detection as a multi-class problem aiming to determine the corresponding label in terms of the Breast Imaging Electrical Impedance classification system, the standard used by physicians for interpreting an EIM mammogram. For experimental purposes, for the first time in the literature, we took advantage of a dataset comprising EIM of Mexican patients. Aiming to establish a baseline for this task, traditional supervised learning methods were used together with two different feature extraction techniques: raw pixel data and transfer learning. Besides, data augmentation was exploited for compensating data imbalance. Different experimental settings were evaluated reaching classification rates over 0.85 in F-score. KNN emerges as a very promising classifier for addressing this task. The obtained results allow us to validate the usefulness of traditional methods for classifying electro-impedance mammograms.

An Improved Holographic Microwave Breast Imaging Based on Deep Neural Network

2019 ◽  
Author(s):  
Lulu Wang
Keyword(s):  
Neural Network ◽  
Breast Imaging ◽  
Deep Neural Network ◽  
Breast Lesion ◽  
Practical Consideration ◽  
Biomedical Image ◽  
Imaging Tool ◽  
Different Types ◽  
Breast Tissues ◽  
Microwave Image

Abstract Microwave imaging offers excellent potential for breast cancer detection. Deep learning is state-of-the-art in biomedical imaging, which has been successfully applied for biomedical image classifications. This paper investigates a deep neural network (DNN) based classification method for identifying breast lesion in holographic microwave image (HMI). A computer model is developed to demonstrate the proposed method under practical consideration. Various experiments are carried out to evaluate the proposed DNN-based HMI for breast lesion classification. Results have shown that the proposed method could serve as a helpful imaging tool for automatically classifying different types of breast tissues.

scholarly journals A new breast tomosynthesis imaging method: Continuous Sync-and-Shoot – technical feasibility and initial experience

2019 ◽  
Vol 8 (3) ◽  
pp. 205846011983625
Author(s):  
Mikko O Jousi ◽  
Jukka Erkkilä ◽  
Mari Varjonen ◽  
Martti Soiva ◽  
Katja Hukkinen ◽  
...  
Keyword(s):  
Breast Imaging ◽  
Digital Breast Tomosynthesis ◽  
Imaging Method ◽  
Image Evaluation ◽  
Breast Tomosynthesis ◽  
Shoot Method ◽  
Imaging Parameters ◽  
Image Pairs ◽  
Test Patient ◽  
Better Than

Background Digital breast tomosynthesis (DBT) is gaining popularity in breast imaging. There are several different technical approaches for conducting DBT imaging. Purpose To determine optimal imaging parameters, test patient friendliness, evaluate the initial diagnostic performance, and describe diagnostic advances possible with the new Continuous Sync-and-Shoot method. Material and Methods Thirty-six surgical breast specimens were imaged with digital mammography (DM) and a prototype of a DBT system (Planmed Oy, Helsinki, Finland). We tested the patient friendliness of the sync-and-shoot movement without radiation exposure in eight volunteers. Different imaging parameters were tested with 20 specimens to identify the optimal combination: angular range 30°, 40°, and 60°; pixel binning; Rhodium (Rh) and Silver (Ag) filtrations; and different kV and mAs values. Two breast radiologists evaluated 16 DM and DBT image pairs and rated six different image properties. Imaging modalities were compared with paired t-test. Results The Continuous Sync-and-Shoot method produced diagnostically valid images. Five out of eight volunteers felt no/minimal discomfort, three experienced mild discomfort from the tilting movement of the detector, with the motion being barely recognized. The combination of 30°, Ag filtering, and 2 × 2 pixel binning produced the best image quality at an acceptable dose level. DBT was significantly better in all six evaluated properties ( P < 0.05). Mean DoseDBT/DoseDM ratio was 1.22 (SD = 0.42). Conclusion The evaluated imaging method is feasible for imaging and analysing surgical breast specimens and DBT is significantly better than DM in image evaluation.

scholarly journals The Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors

2021 ◽  
Vol 11 ◽  
Author(s):  
Xiaoguang Li ◽  
Hong Guo ◽  
Chao Cong ◽  
Huan Liu ◽  
Chunlai Zhang ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Roc Curve ◽  
Breast Imaging ◽  
Statistical Significance ◽  
Texture Features ◽  
Imaging Findings ◽  
Mr Images ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Occurrence Matrix

PurposeTo explore the value of texture analysis (TA) based on dynamic contrast-enhanced MR (DCE-MR) images in the differential diagnosis of benign phyllode tumors (BPTs) and borderline/malignant phyllode tumors (BMPTs).MethodsA total of 47 patients with histologically proven phyllode tumors (PTs) from November 2012 to March 2020, including 26 benign BPTs and 21 BMPTs, were enrolled in this retrospective study. The whole-tumor texture features based on DCE-MR images were calculated, and conventional imaging findings were evaluated according to the Breast Imaging Reporting and Data System (BI-RADS). The differences in the texture features and imaging findings between BPTs and BMPTs were compared; the variates with statistical significance were entered into logistic regression analysis. The receiver operating characteristic (ROC) curve was used to assess the diagnostic performance of models from image-based analysis, TA, and the combination of these two approaches.ResultsRegarding texture features, three features of the histogram, two features of the gray-level co-occurrence matrix (GLCM), and three features of the run-length matrix (RLM) showed significant differences between the two groups (all p &lt; 0.05). Regarding imaging findings, however, only cystic wall morphology showed significant differences between the two groups (p = 0.014). The areas under the ROC curve (AUCs) of image-based analysis, TA, and the combination of these two approaches were 0.687 (95% CI, 0.518–0.825, p = 0.014), 0.886 (95% CI, 0.760–0.960, p &lt; 0.0001), and 0.894 (95% CI, 0.754–0.970, p &lt; 0.0001), respectively.ConclusionTA based on DCE-MR images has potential in differentiating BPTs and BMPTs.

scholarly journals Measurement and Analysis of Microwave Frequency Signals Transmitted through the Breast

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Jeremie Bourqui ◽  
John Garrett ◽  
Elise Fear
Keyword(s):  
Breast Imaging ◽  
Microwave Frequency ◽  
Left Breast ◽  
Reliable Measurement ◽  
Immersion Medium ◽  
Measurement And Analysis ◽  
Microwave Signals ◽  
The Right ◽  
Breast Tissues ◽  
Insight Into

Microwave approaches to breast imaging include the measurement of signals transmitted through and reflected from the breast. Prototype systems typically feature sensors separated from the breast, resulting in measurements that include the effects of the environment and system. To gain insight into transmission of microwave signals through the breast, a system that places sensors in direct contact with the breast is proposed. The system also includes a lossy immersion medium that enables measurement of the signal passing through the breast while significantly attenuating signals traveling along other paths. Collecting measurements at different separations between sensors also provides the opportunity to estimate the average electrical properties of the breast tissues. After validation through simulations and measurements, a study of 10 volunteers was performed. Results indicate symmetry between the right and left breast and demonstrate differences in attenuation, maximum frequency for reliable measurement, and average properties that likely relate to variations in breast composition.

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