scholarly journals Adaptive Otsu’s Technique for PCOS Segmentation from Ovarian Ultrasound Images

2020 ◽  
Author(s):  
Sheela S ◽  
Sumathi M ◽  
Nirmala Priya S ◽  
Sangeeth Kumar B ◽  
Yukesh Kumar S J ◽  
...  
Keyword(s):  
Circular Polarization ◽  
Mimo System ◽  
Imaging Modality ◽  
Ultrasound Image ◽  
Region Of Interest ◽  
Ultrasound Images ◽  
Non Invasive ◽  
Antenna Performance ◽  
Scanned Image ◽  
Processing Techniques

Infertility is a common and important problem of many women in today’s life. Poly cystic ovarian syndrome (PCOS) is the origin of the infertility. This endocrine disorder affects women’s reproductive system. It also causes other problems like cardiovascular diseases, diabetes mellitus, etc. Among the various imaging modality, Ultrasound plays a major role in the diagnosis of PCOS since it is harmless, painless and non-invasive. Even though ultrasound image has so many advantages, due to poor image quality, inherent noise, overlapping of follicles and operator’s lack of prior knowledge, analyzing the characteristics of the scanned image is more challenging. Now a day, several image processing techniques are available to make this process easier. A commonly used segmentation method is Otsu’s threshold-based segmentation technique. But, it is suitable only for the high contrast image. To make this method suitable for all the images, Adaptive Otsu’s Technique (AOT) is developed and also achieved more desirable segmentation of the region of interest (ROI). In MIMO system , mutual coupling degrades the antenna performance to overcome this we go for circular polarization. In this paper, compact circular polarization and planar

scholarly journals Enhancing ultrasound texture differences for developing an in vivo 'virtual histology' approach to bovine ovarian imaging

2007 ◽  
Vol 19 (8) ◽  
pp. 910 ◽  
Author(s):  
Mark G. Eramian ◽  
Gregg P. Adams ◽  
Roger A. Pierson
Keyword(s):  
Image Processing ◽  
Ultrasound Image ◽  
Ultrasound Images ◽  
Virtual Histology ◽  
Form And Function ◽  
Non Invasive ◽  
Candidate Image ◽  
And Function ◽  
Processing Techniques

A ‘virtual histology’ can be thought of as the ‘staining’ of a digital ultrasound image via image processing techniques in order to enhance the visualisation of differences in the echotexture of different types of tissues. Several candidate image-processing algorithms for virtual histology using ultrasound images of the bovine ovary were studied. The candidate algorithms were evaluated qualitatively for the ability to enhance the visual differences in intra-ovarian structures and quantitatively, using standard texture description features, for the ability to increase statistical differences in the echotexture of different ovarian tissues. Certain algorithms were found to create textures that were representative of ovarian micro-anatomical structures that one would observe in actual histology. Quantitative analysis using standard texture description features showed that our algorithms increased the statistical differences in the echotexture of stroma regions and corpus luteum regions. This work represents a first step toward both a general algorithm for the virtual histology of ultrasound images and understanding dynamic changes in form and function of the ovary at the microscopic level in a safe, repeatable and non-invasive way.

Experimental Validation of Minimax Entropy Principle in Ultrasound Images

2019 ◽  
Vol 12 (6) ◽  
pp. 487-493
Author(s):  
Neha Mehta ◽  
Svav Prasad ◽  
Leena Arya
Keyword(s):  
Region Of Interest ◽  
Ultrasound Images ◽  
Human Gallbladder ◽  
New Approach ◽  
Non Invasive ◽  
Entropy Principle ◽  
Significant Performance ◽  
Considerable Impact ◽  
Ultrasonic Devices ◽  
Measure Of Uncertainty

Ultrasound imaging is one of the non-invasive imaging, that diagnoses the disease inside a human body and there are numerous ultrasonic devices being used frequently. Entropy as a well known statistical measure of uncertainty has a considerable impact on the medical images. A procedure for minimizing the entropy with respect to the region of interest is demonstrated. This new approach has shown the experiments using Extracted Region Of Interest Based Sharpened image, called as (EROIS) image based on Minimax entropy principle and various filters. In this turn, the approach also validates the versatility of the entropy concept. Experiments have been performed practically on the real-time ultrasound images collected from ultrasound centers and have shown a significant performance. The present approach has been validated with showing results over ultrasound images of the Human Gallbladder.

scholarly journals Ultrasonography in physiotherapy and rehabilitation

2021 ◽  
pp. 1-3
Author(s):  
Barassi Giovanni ◽  
Guerri Sergio ◽  
Tavani Roberta ◽  
Ricucci Giampiero ◽  
De Luca Giorgia ◽  
...  
Keyword(s):  
Ultrasound Image ◽  
Muscle Stiffness ◽  
Ultrasound Images ◽  
Tendon Tissue ◽  
Invasive Approach ◽  
Know How ◽  
Non Invasive ◽  
Load Transmission ◽  
Intensity Information

There is an interrelation with ultrasound / physiotherapist and the duty of the physiotherapist to know how to perform ultrasound examinations alone, not for diagnostic purposes, to follow the evolution of the therapeutic cycle of physiotherapy. For this reason, ultrasound image analysis (US) is a promising non-invasive approach that uses load-dependent changes in the intensity of the echo to characterize the rigidity of muscle and tendon tissue. The purpose of this contribution is to improve the use of ultrasound images (US) and the role of the physiotherapist, who are able to detect localized changes, in particular in stiffness of the tendon due to partial and full-thickness tendon tears. Image intensity information is less sensitive for identifying load transmission variations resulting from partial thickness cuts initiated on the joint side. Ultrasound images can be useful for quantitatively assessing the variations dependent on the tendon load and muscle stiffness in physiotherapy and that the interruption of the behavior of the acousto-elastic ultrasound images can be indicative of substantial damage to the muscle or tendon.

scholarly journals Light-Emitting Diode Based Photoacoustic Imaging System

2020 ◽  
Author(s):  
Ebrahim Najafzadeh ◽  
Parastoo Farnia ◽  
Alireza Ahmadian ◽  
Hossein Ghadiri
Keyword(s):  
Imaging System ◽  
Photoacoustic Imaging ◽  
Light Emitting Diode ◽  
Imaging Modality ◽  
Optical Excitation ◽  
Poly Vinyl Alcohol ◽  
Ultrasound Images ◽  
Light Emitting ◽  
Non Invasive ◽  
Wide Range

Purpose: A Photoacoustic Imaging (PAI) as a non-invasive hybrid imaging modality has the potential to be used in a wide range of pre-clinical and clinical applications. There are different optical excitation sources that affect the performance of PAI systems. Our goal is proving the capability of the Light-Emitting Diode (LED) based PAI system for imaging of objects in different depths. Materials and Methods: In this study the Full Width of Half Maximum (FWHM) and Contrast to Noise Ratio (CNR) of LED-based PAI system is evaluated using agar, and Poly-Vinyl Alcohol Cryogel (PVA-C) phantoms. Results: The results show that axial and lateral FWHM of the photoacoustic image in agar phantom 1%, are 0.59 and 1.16 mm, respectively. It is capable of distinguishing objects about 250 µm. Furthermore, one of the main improvements of photoacoustic images is achieved by proposed LED-based system that is a 26% higher CNR versus the ultrasound images. Conclusion: Therefore, the provided technical characteristics in this study have made designed LED-based PAI system as a suitable tool for preclinical and clinical imaging.

scholarly journals Early detection of joint abnormalities from ultrasound images

2018 ◽  
Vol 7 (2.25) ◽  
pp. 105
Author(s):  
R J. Hemalatha ◽  
Dr V. Vijaybaskar ◽  
A Josephin Arockia Dhivya ◽  
. .
Keyword(s):  
Early Detection ◽  
Ultrasound Image ◽  
Computer Software ◽  
Pso Algorithm ◽  
Optimization Techniques ◽  
Optimization Approach ◽  
Ultrasound Images ◽  
Processing Techniques ◽  
Modern Image

Musculoskeletal ultrasound is effective for the early detection of joint abnormalities like erosion, effusion, synovitis and inflammation. Computer software is developed for segmentation of joint ultrasound image to diagnose the defect. The objective of developing this paper is to achieve early diagnosis of joint disorders by segmentation of ultrasound image with different algorithms. Ultrasound machine with high resolution probe can be used for development & findings of joints by the orthopaedician, rheumatologist and sports physician. These find-ings are done by processing the ultrasound images of patient joint using modern image processing techniques. Therefore algorithms has been designed and developed for analysis of medical images that is musculo ultrasound image based on optimization approach, using genet-ic algorithm and PSO algorithm. To improve the better quality of the image many improvisation techniques have been introduced. Hence, these algorithms perform better segmentation and identification of joint abnormalities. The analysis of ultrasound image is directly based on image segmentation steps, pre-processing, filtering, feature extraction and analysis of these extracted features by finding the output using different optimization techniques. In proposed method, efforts have been made to exhibit the procedure for finding and segmenting the mus-culoskeletal images of abnormal joints. The present approaches are segmentation operation on ultrasound images by applying genetic and PSO algorithm. The comparison between these algorithms is done, such that the algorithm itself analyses the whole image and perform the segmentation and detection of abnormalities perfectly   

scholarly journals Aestheticization of Ultrasound Images

2021 ◽  
Author(s):  
Prasanta Pal ◽  
David R. Vago ◽  
Amardip Ghosh ◽  
Judson Brewer
Keyword(s):  
Imaging Modality ◽  
Imaging Techniques ◽  
Ultrasound Image ◽  
Significant Loss ◽  
Imaging Method ◽  
Ultrasound Images ◽  
Fetal Ultrasound ◽  
Visual Aesthetics ◽  
Scientific Accuracy ◽  
Aesthetic Values

<div> <div> <div> <p>Ultrasound imaging is one of the most versatile imaging method in order to observe inner workings of human- body. Due to its simplicity, cost-effectiveness, easy availability and portability, a diverse set of applications are influenced by this very popular imaging modality. Despite its popularity as one of the most widely used imaging techniques, it has some serious limitations including lack of image clarity as well as complete absence of any visual aesthetics. Although, commonplace data filters can potentially make ultrasound images smoother looking, however, there is a significant loss of information introduced by the smoothing filters. In this article, we developed a method to enhance the image clarity as well as a protocol for enhancing image aesthetics for ultrasound modality using modern data-curation tool SOCKS. We performed few case studies using various color schemas applied on a publicly available fetal ultrasound image. The outlined technique can be easily generalized to any other kind of ultrasound images. We hypothesize that, our method would not only provide us with enhanced scientific accuracy, visual clarity of ultrasound images but also add additional layers of visual clarity coupled with artistic and aesthetic values. Our method calls for an complete rethinking of how we present ultrasound images </p> </div> </div> </div>

AUTOMATIC COMPUTER-BASED TRACINGS (ACT) IN LONGITUDINAL 2-D ULTRASOUND IMAGES USING DIFFERENT SCANNERS

2009 ◽  
Vol 09 (04) ◽  
pp. 481-505 ◽  
Author(s):  
FILIPPO MOLINARI ◽  
WILLIAM LIBONI ◽  
PIERANGELA GIUSTETTO ◽  
SERGIO BADALAMENTI ◽  
JASJIT S. SURI
Keyword(s):  
Visual Inspection ◽  
Ultrasound Image ◽  
Region Of Interest ◽  
Intima Media Thickness ◽  
Ultrasound Images ◽  
Automated Segmentation ◽  
Automatic Computer ◽  
Robustness To Noise ◽  
Computer Based ◽  
General Basis

Objective. The aim of this paper is to show an algorithm for the automatic computer-based tracing (ACT) of common carotid artery (CCA) in longitudinal B-mode ultrasound images characterized by four main features: (i) user-independence; (ii) suitability to normal and pathological images; (iii) robustness to noise; and (iv) independent of ultrasound OEM scanner. Methods. Three hundred longitudinal B-mode images (100 normal CCAs, 100 CCAs with increased intima-media thickness, 60 stable plaques, and 40 echolucent plaques) were acquired using three different (GE, Siemens, and Biosound) OEM ultrasound image scanners. The algorithm processed each image to delineate the region of interest containing the CCA. Output of the algorithm are three segmentation lines representing (a) distal (far) and (b) near adventitia layers, and (c) lumen of the CCA. Three operators qualitatively scored the ACTs. Results. The CCA was correctly automatically traced in all the 300 B-mode images. The performance was independent on the image scanner used to acquire the image or on the type of the CCA (healthy versus pathologic). Eight ACTs out of 300 received a poor score after visual inspection due to an automated adventitia tracing that did not correctly follow the CCA wall in a small portion of the image. Conclusions. The proposed algorithm is robust in ACTs of CCA since it is independent of scanner and normal/abnormal wall. This approach could constitute a general basis for a completely automated segmentation procedure.

scholarly journals Aestheticization of Ultrasound Images

2021 ◽  
Author(s):  
Prasanta Pal ◽  
David R. Vago ◽  
Amardip Ghosh ◽  
Judson Brewer
Keyword(s):  
Imaging Modality ◽  
Imaging Techniques ◽  
Ultrasound Image ◽  
Significant Loss ◽  
Imaging Method ◽  
Ultrasound Images ◽  
Fetal Ultrasound ◽  
Visual Aesthetics ◽  
Scientific Accuracy ◽  
Aesthetic Values

<div> <div> <div> <p>Ultrasound imaging is one of the most versatile imaging method in order to observe inner workings of human- body. Due to its simplicity, cost-effectiveness, easy availability and portability, a diverse set of applications are influenced by this very popular imaging modality. Despite its popularity as one of the most widely used imaging techniques, it has some serious limitations including lack of image clarity as well as complete absence of any visual aesthetics. Although, commonplace data filters can potentially make ultrasound images smoother looking, however, there is a significant loss of information introduced by the smoothing filters. In this article, we developed a method to enhance the image clarity as well as a protocol for enhancing image aesthetics for ultrasound modality using modern data-curation tool SOCKS. We performed few case studies using various color schemas applied on a publicly available fetal ultrasound image. The outlined technique can be easily generalized to any other kind of ultrasound images. We hypothesize that, our method would not only provide us with enhanced scientific accuracy, visual clarity of ultrasound images but also add additional layers of visual clarity coupled with artistic and aesthetic values. Our method calls for an complete rethinking of how we present ultrasound images </p> </div> </div> </div>

scholarly journals A Review on Region of Interest Segmentation Based on Clustering Techniques for Breast Cancer Ultrasound Images

2020 ◽  
Vol 1 (3) ◽  
pp. 78-91
Author(s):  
Muhammad Muhammad ◽  
Diyar Zeebaree ◽  
Adnan Mohsin Abdulazeez Brifcani ◽  
Jwan Saeed ◽  
Dilovan Asaad Zebari
Keyword(s):  
Breast Cancer ◽  
Image Segmentation ◽  
Signal To Noise Ratio ◽  
Ultrasound Image ◽  
Region Of Interest ◽  
Speckle Noise ◽  
Ultrasound Images ◽  
Clustering Methods ◽  
Advantages And Disadvantages ◽  
Ultrasound Image Segmentation

The most prevalent cancer amongst women is woman breast cancer. Ultrasound imaging is a widely employed method for identifying and diagnosing breast abnormalities. Computer-aided diagnosis technologies have lately been developed with ultrasound images to help radiologists enhance the accuracy of the diagnosis. This paper presents several ultrasound image segmentation techniques, mainly focus on eight clustering methods over the last 10 years, and it shows the advantages and disadvantages of these approaches. Breast ultrasound image segmentation is, therefore, still an accessible and challenging issue due to numerous ultrasound artifacts introduced in the imaging process, including high speckle noise, poor contrast, blurry edges, weak signal-to-noise ratio, and intensity inhomogeneity.

scholarly journals A Region of Interest Segmentation Based on Clustering Techniques for Breast Cancer Ultrasound Images: A Review

2020 ◽  
Vol 1 (3) ◽  
pp. 78-91
Author(s):  
Muhammad Muhammad ◽  
Diyar Zeebaree ◽  
Adnan Mohsin Abdulazeez Brifcani ◽  
Jwan Saeed ◽  
Dilovan Asaad Zebari
Keyword(s):  
Breast Cancer ◽  
Image Segmentation ◽  
Signal To Noise Ratio ◽  
Ultrasound Image ◽  
Region Of Interest ◽  
Speckle Noise ◽  
Ultrasound Images ◽  
Clustering Methods ◽  
Advantages And Disadvantages ◽  
Ultrasound Image Segmentation

The most prevalent cancer amongst women is woman breast cancer. Ultrasound imaging is a widely employed method for identifying and diagnosing breast abnormalities. Computer-aided diagnosis technologies have lately been developed with ultrasound images to help radiologists enhance the accuracy of the diagnosis. This paper presents several ultrasound image segmentation techniques, mainly focus on eight clustering methods over the last 10 years, and it shows the advantages and disadvantages of these approaches. Breast ultrasound image segmentation is, therefore, still an accessible and challenging issue due to numerous ultrasound artifacts introduced in the imaging process, including high speckle noise, poor contrast, blurry edges, weak signal-to-noise ratio, and intensity inhomogeneity.

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