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 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 Tracking Transplanted Stem Cells Using Magnetic Resonance Imaging and the Nanoparticle Labeling Method in Urology

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jae Heon Kim ◽  
Hong J. Lee ◽  
Yun Seob Song
Keyword(s):  
Magnetic Resonance Imaging ◽  
Stem Cells ◽  
Molecular Imaging ◽  
Magnetic Resonance ◽  
Imaging Modality ◽  
Imaging Techniques ◽  
Image Resolution ◽  
Imaging Method ◽  
Resonance Imaging

A reliablein vivoimaging method to localize transplanted cells and monitor their viability would enable a systematic investigation of cell therapy. Most stem cell transplantation studies have used immunohistological staining, which does not provide information about the migration of transplanted cellsin vivoin the same host. Molecular imaging visualizes targeted cells in a living host, which enables determining the biological processes occurring in transplanted stem cells. Molecular imaging with labeled nanoparticles provides the opportunity to monitor transplanted cells noninvasively without sacrifice and to repeatedly evaluate them. Among several molecular imaging techniques, magnetic resonance imaging (MRI) provides high resolution and sensitivity of transplanted cells. MRI is a powerful noninvasive imaging modality with excellent image resolution for studying cellular dynamics. Several types of nanoparticles including superparamagnetic iron oxide nanoparticles and magnetic nanoparticles have been used to magnetically label stem cells and monitor viability by MRI in the urologic field. This review focuses on the current role and limitations of MRI with labeled nanoparticles for tracking transplanted stem cells in urology.

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

Neuronavigation by Intraoperative Three-dimensional Ultrasound: Initial Experience during Brain Tumor Resection

Neurosurgery ◽  
2002 ◽  
Vol 50 (4) ◽  
pp. 804-812 ◽  
Author(s):  
Geirmund Unsgaard ◽  
Steinar Ommedal ◽  
Tomm Muller ◽  
Aage Gronningsaeter ◽  
Toril A. Nagelhus Hernes
Keyword(s):  
Brain Tumor ◽  
Imaging Modality ◽  
Intraoperative Imaging ◽  
Tumor Resection ◽  
Three Dimensional ◽  
Ultrasound Image ◽  
Intraoperative Ultrasound ◽  
Cost Effective ◽  
Ultrasound Images ◽  
Brain Tumor Resection

Abstract OBJECTIVE: Three-dimensional (3-D) ultrasound is an intraoperative imaging modality used in neuronavigation as an alternative to magnetic resonance imaging (MRI). This article summarizes 4 years of clinical experience in the use of intraoperative 3-D ultrasound integrated into neuronavigation for guidance in brain tumor resection. METHODS: Patients were selected for inclusion in the study on the basis of the size and location of their lesion. Preoperative 3-D MRI data were registered and used for planning as in other conventional neuronavigation systems. Intraoperative 3-D ultrasound images were acquired three to six times, and tumor resection was guided on the basis of these updated 3-D images. RESULTS: Intraoperative 3-D ultrasound represents a good solution to the problem of brain shift in neuronavigation because it easily provides an updated, and hence more accurate, map of the patient's true anatomy in all phases of the operation. Ultrasound makes it possible to follow the progression of the operation, and it improves the radicality of tumor resection by detecting tumor tissue that would remain if the imaging technology had not been used (in 53% of the cases). Integration of 3-D ultrasound with navigation technology solves the orientation problem experienced previously with two-dimensional ultrasound in neurosurgery. The technology makes it possible to directly compare intraoperative ultrasound and MRI data regarding visualization of the lesion. Ultrasound image quality is useful for guiding surgical procedures. CONCLUSION: Intraoperative 3-D ultrasound seems to provide a time- and cost-effective way to update high-quality 3-D maps used in neuronavigation.

scholarly journals Hybrid Speckle Noise Reduction Method for Abdominal Circumference Segmentation of Fetal Ultrasound Images

2018 ◽  
Vol 8 (3) ◽  
pp. 1747 ◽  
Author(s):  
Fajar Astuti Hermawati ◽  
Handayani Tjandrasa ◽  
Nanik Suciati
Keyword(s):  
Measurement Techniques ◽  
Ultrasound Image ◽  
Speckle Noise ◽  
Abdominal Circumference ◽  
Diffusion Method ◽  
Ultrasound Images ◽  
Edge Preservation ◽  
Fetal Ultrasound ◽  
Ac Measurement ◽  
Speckle Noise Reduction

Fetal biometric size such as abdominal circumference (AC) is used to predict fetal weight or gestational age in ultrasound images. The automatic biometric measurement can improve efficiency in the ultrasonography examination workflow. The unclear boundaries of the abdomen image and the speckle noise presence are the challenges for the automated AC measurement techniques. The main problem to improve the accuracy of the automatic AC segmentation is how to remove noise while retaining the boundary features of objects. In this paper, we proposed a hybrid ultrasound image denoising framework which was a combination of spatial-based filtering method and multiresolution based method.  In this technique, an ultrasound image was decomposed into subbands using wavelet transform. A thresholding technique and the anisotropic diffusion method were applied to the detail subbands, at the same time the bilateral filtering modified the approximation subband. The proposed denoising approach had the best performance in the edge preservation level and could improve the accuracy of the abdominal circumference segmentation.

Abstract 131: Quantification of in vivo Placental Oxygenation Using Ultrasound-guided Spectral Photoacoustic Imaging

Hypertension ◽  
2016 ◽  
Vol 68 (suppl_1) ◽  
Author(s):  
Carolyn Bayer ◽  
Geoffrey P Luke ◽  
Jason R Cook ◽  
Stanislav Y Emelianov
Keyword(s):  
Imaging System ◽  
Photoacoustic Imaging ◽  
Imaging Modality ◽  
Imaging Method ◽  
Ultrasound Images ◽  
Calibration Standard ◽  
Ultrasound Guided ◽  
Placental Development ◽  
Placental Function

Preeclampsia, linked to abnormal placental development and ischemia, is a major cause of fetal and maternal death. Currently, the only cure is high-risk preterm delivery. Although clinical therapies to regulate the symptoms of preeclampsia—mean arterial pressure and proteinuria—it is unknown whether these therapeutics restore placental blood flow and reduce ischemia. We are developing ultrasound-guided spectral photoacoustic imaging to quantify placental ischemia and characterize therapeutic response. Ultrasound imaging is the preferred imaging modality to monitor pregnancy due to its safety, low cost, and mobility. Similar to ultrasound, photoacoustic imaging can provide co-registered images of tissue function. In these studies, pregnant SWV mice were imaged longitudinally from E12.5 to 18.5 using a Vevo LAZR small animal imaging system. Algorithms were developed to correlate the spectral photoacoustic data to a hemoglobin oxygenation (%sO 2 ) calibration standard—a phantom containing blood at varying partial pressures of oxygen. The phantom calibration standard deviation was 7.9% (n=3). The resulting ultrasound images were used to segment the placenta (Figure 1). An overlay of the %sO 2 on the ultrasound image maps placental variation in %sO 2 during longitudinal development. We demonstrate that our imaging method is capable of quantifying %sO2 and monitoring placental function in vivo . Future work will use our preclinical %sO2 quantification methods to characterize placental function during treatment for preeclampsia.

Fetal Ultrasound Image Evaluation of Chromosomal Anomaly Detection and Classification Using Conditional Rooted Neural Network (CRNN)

2019 ◽  
Vol 9 (6) ◽  
pp. 1307-1315
Author(s):  
S. Padmavathy ◽  
P. Suresh
Keyword(s):  
Neural Network ◽  
Anomaly Detection ◽  
Ultrasound Image ◽  
Speckle Noise ◽  
First Trimester ◽  
Classification Performance ◽  
Chromosomal Anomaly ◽  
Ultrasound Images ◽  
Fetal Ultrasound

In this work, a computerized scheme of Chromosomal anomaly recognition and classification of Chromosomal abnormality such as Trisomy (T) T-13, T-18 and T-21 (Patau, Edwards and Down syndrome) based on Conditionally Rooted neural network (CRNN) with wavelet Filter. CRNN is used to estimate the chromosomal anomaly features separation from fetal provisions. The clear template of feature estimation from the first-trimester fetus of ultrasound images will be used to train the CRNN Neural Network. The software has successfully identified and classified the region of chromosomal anomaly. The evaluations show that our CRNN technique can attain good denoising and classification performance in comparison with existing methods. In this experiment, the results indicate that our proposed method can detect and classify the trisomy factors measurement from the US image regions precisely and robustly against speckle noise. The classification of Fetus US image datasets was done using CRNN classifier, and the accuracy of classification was found to be Highly efficient resolution for Chromosomal anomaly detection.

Ultrasound Image Despeckling and Enhancement using Modified Multiscale Anisotropic Diffusion Model in Non-Subsampled Shearlet Domain

2019 ◽  
Author(s):  
Anterpreet Kaur Bedi ◽  
Ramesh Kumar Sunkaria ◽  
Deepti Mittal
Keyword(s):  
Diffusion Model ◽  
High Frequency ◽  
Anisotropic Diffusion ◽  
Imaging Modality ◽  
Ultrasound Image ◽  
Frequency Component ◽  
High Frequency Component ◽  
Speckle Reduction ◽  
Ultrasound Images ◽  
Edge Preservation

Abstract Ultrasound imaging is undoubtedly the most used imaging modality for diagnostic purposes. Unfortunately, it is accompanied by speckle which can degrade texture information by obscuring fine details like boundaries and edges. This work presents a method for despeckling ultrasound images by treating them with multiscale modified speckle reduction anisotropic diffusion model and Non-Subsampled shearlet transform (NSST). The method involves division of images using a non-subsampled Laplacian pyramid. This results in low and high frequency image components. Modified anisotropic diffusion is used on the low frequency part. The high frequency component, as subjected to shearlet function, generates noisy coefficients in various directions. These coefficients are further subjected to NSST thresholding. The denoised low and high frequency image components are then recombined to obtain the enhanced image. This multidimensional and multidirectional method improves the qualitative characteristics of ultrasound images by not just removing speckle noise but also by preserving edges, thus resulting in effective image enhancement. Performance of the method is analysed on synthetic and real medical ultrasound images. Results reveal that the proposed method exceeds the state-of-the-art methods in the context of edge preservation and structural similarities, and thus, it is an effective aid to radiologists in their clinical diagnosis by providing an enhanced denoised image.

Study of Fetal Anatomy using Ultrasound Images

2014 ◽  
Vol 3 (2) ◽  
pp. 1-13 ◽  
Author(s):  
Sandeep Kumar E. ◽  
N. Sriraam
Keyword(s):  
Image Analysis ◽  
Ultrasound Imaging ◽  
Information Source ◽  
Ultrasound Image ◽  
Background Information ◽  
Ultrasound Images ◽  
Medical Field ◽  
Fetal Ultrasound ◽  
Medical Background ◽  
Major Emphasis

Ultrasound imaging has widespread applications in medical field, especially for the study and assessment of fetus in the womb of pregnant woman. This paper highlights the background information regarding basics of ultrasound imaging, the various anatomical terminologies related to human body and fetus, and various steps to identify the organs of fetus using ultrasound images with major emphasis on the fetus heart detection. The paper serves an information source for any engineering person from non-medical background to carry out his/ her research in fetal ultrasound image analysis.

Cardiovascular Imaging for Guiding Interventional Therapy in Structural Heart Diseases

2020 ◽  
Vol 16 (2) ◽  
pp. 111-122
Author(s):  
Nora Rat ◽  
Iolanda Muntean ◽  
Diana Opincariu ◽  
Liliana Gozar ◽  
Rodica Togănel ◽  
...  
Keyword(s):  
Heart Diseases ◽  
Interventional Procedure ◽  
Imaging Techniques ◽  
Ductus Arteriosus ◽  
Three Dimensional ◽  
High Specificity ◽  
Interventional Therapy ◽  
Structural Defects ◽  
Imaging Method ◽  
Three Dimensional Echocardiography

Development of interventional methods has revolutionized the treatment of structural cardiac diseases. Given the complexity of structural interventions and the anatomical variability of various structural defects, novel imaging techniques have been implemented in the current clinical practice for guiding the interventional procedure and for selection of the device to be used. Three– dimensional echocardiography is the most used imaging method that has improved the threedimensional assessment of cardiac structures, and it has considerably reduced the cost of complications derived from malalignment of interventional devices. Assessment of cardiac structures with the use of angiography holds the advantage of providing images in real time, but it does not allow an anatomical description. Transesophageal Echocardiography (TEE) and intracardiac ultrasonography play major roles in guiding Atrial Septal Defect (ASD) or Patent Foramen Ovale (PFO) closure and device follow-up, while TEE is the procedure of choice to assess the flow in the Left Atrial Appendage (LAA) and the embolic risk associated with a decreased flow. On the other hand, contrast CT and MRI have high specificity for providing a detailed description of structure, but cannot assess the flow through the shunt or the valvular mobility. This review aims to present the role of modern imaging techniques in pre-procedural assessment and intraprocedural guiding of structural percutaneous interventions performed to close an ASD, a PFO, an LAA or a patent ductus arteriosus.

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