scholarly journals A Robust Automatic Ultrasound Spectral Envelope Estimation

Information ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 199 ◽  
Author(s):  
Jinkai Li ◽  
Yi Zhang ◽  
Xin Liu ◽  
Paul Liu ◽  
Hao Yin ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Carotid Artery ◽  
Power Spectrum ◽  
Estimation Method ◽  
Maximum Velocity ◽  
Speckle Noise ◽  
Spectral Envelope ◽  
Accurate Estimation ◽  
Ultrasound Images

Accurate estimation of ultrasound Doppler spectrogram envelope is essential for clinical pathological diagnosis of various cardiovascular diseases. However, due to intrinsic spectral broadening in the power spectrum and speckle noise existing in ultrasound images, it is difficult to obtain the accurate maximum velocity. Each of the standard existing methods has their own limitations and does not work well in complicated recordings. This paper proposes a robust automatic spectral envelope estimation method that is more accurate in phantom recordings and various in-vivo recordings than the currently used methods. Comparisons were performed on phantom recordings of the carotid artery with varying noise and additional in-vivo recordings. The accuracy of the proposed method was on average 8% greater than the existing methods. The experimental results demonstrate the wide applicability under different blood conditions and the robustness of the proposed algorithm.

Adaptation of Cardinal Points Symmetry Landmarks Distribution Model to in-vivo B-Mode Ultrasound Images of Transverse Cross-section of Carotid Arteries

2021 ◽  
Vol 6 (7) ◽  
pp. 107-113
Author(s):  
Charles Nnamdi Udekwe ◽  
Akinlolu Adediran Ponnle
Keyword(s):  
Carotid Artery ◽  
Cross Section ◽  
Carotid Arteries ◽  
Region Of Interest ◽  
Transverse Cross Section ◽  
Transverse Plane ◽  
Distribution Model ◽  
Ultrasound Images ◽  
Symmetry Line

The geometry of the imaged transverse cross-section of carotid arteries in in-vivo B-mode ultrasound images are most times irregular, unsymmetrical, full of speckles and usually non-uniform. We had earlier developed a technique of cardinal point symmetry landmark distribution model (CPS-LDM) to completely characterize the Region of Interest (ROI) of the geometric shape of thick-walled simulated B-mode ultrasound images of carotid artery imaged in the transverse plane, but this was based on the symmetric property of the image. In this paper, this developed technique was applied to completely characterize the region of interest of the geometric shape of in-vivo B-mode ultrasound images of non-uniform carotid artery imaged in the transverse plane. In order to adapt the CPS-LD Model to the in-vivo carotid artery images, the single VS-VS vertical symmetry line common to the four ROIs of the symmetric image is replaced with each ROI having its own VS-VS vertical symmetry line. This adjustment enables the in-vivo carotid artery images possess symmetric properties, hence, ensuring that all mathematical operations of the CPS-LD Model are conveniently applied to them. This adaptability was observed to work well in segmenting the in-vivo carotid artery images. This paper shows the adaptive ability of the developed CPS-LD Model to successfully annotate and segment in-vivo B-mode ultrasound images of carotid arteries in the transverse cross-sectional plane either they are symmetrical or unsymmetrical.

Modeling of Log-Transformed Speckle Noise in the Contourlet Transform Domain for Medical Ultrasound Images

2014 ◽  
Vol 24 (02) ◽  
pp. 1540004 ◽  
Author(s):  
Shahriar Mahmud Kabir ◽  
Mohammed Imamul Hassan Bhuiyan
Keyword(s):  
Estimation Method ◽  
Speckle Noise ◽  
Diagnostic Value ◽  
Contourlet Transform ◽  
Speckle Reduction ◽  
Ultrasound Images ◽  
Medical Ultrasound ◽  
Transform Domain ◽  
Processing Step ◽  
Bessel K Form

Speckle noise in medical ultrasound (US) degrades the image quality and reduces its diagnostic value. Reduction of speckle noise is an important pre-processing step for the analysis and processing of medical ultrasound images. Knowledge of the statistics of the log-transformed speckle especially in the multi-resolution transform domain is important for developing effective homomorphic despeckling techniques, the most popular approach of speckle reduction from ultrasound images. In this paper, the bessel K-form (BKF) probability density function (pdf) is proposed as a highly suitable prior for modeling the log-transformed speckle noise in the well-known contourlet transform domain. A maximum likelihood based method is introduced for estimating the parameters of the BKF pdf. The effectiveness of the proposed estimation method is demonstrated using Monte Carlo simulations. The appropriateness of the BKF pdf in modeling the speckle is first studied extensively for simulated noise of different levels in the contourlet transform domain. Next, the suitability of BKF model is investigated for the case of real US images that include neonatal brain and breast tumors. It is shown that, in general the BKF prior can model the statistics of the contourlet transform coefficients corresponding to the log-transformed speckle better than the traditionally used Gaussian, normal inverse Gaussian and generalized Nakagami pdfs.

scholarly journals F15 A new system for estimating mechanical health of in vivo carotid artery using ultrasound images

2007 ◽  
Vol 2007.60 (0) ◽  
pp. 195-196
Author(s):  
Fumio NOGATA ◽  
Yoko KAWAMURA ◽  
Yasunari YOKOTA ◽  
Maiko MARUYAMA ◽  
Chiaki OGURA ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Ultrasound Images ◽  
New System

scholarly journals Noninvasive Temperature Estimation Based on Texture Features of Ultrasound Images for RFA

2021 ◽  
Author(s):  
Ming Chen ◽  
Xingqun Zhao ◽  
Linfang Yao
Keyword(s):  
Wavelet Transform ◽  
Linear Correlation ◽  
Estimation Method ◽  
Texture Features ◽  
Temperature Monitoring ◽  
Rabbit Kidney ◽  
Ultrasound Images ◽  
Temperature Estimation

Abstract BackgroundHyperthermia is one of the most common therapy for tumor， in which temperature monitoring is essential. Invasive temperature monitoring is mostly used in clinic at present, which leads to limited points under monitoring and extra hurt to patients. Therefore, noninvasive temperature estimation is a key and tough problem in hyperthermia. In this paper, a noninvasive temperature estimation method for hyperthermia based on B-mode ultrasonic image with wavelet transform and texture analysis is proposed.MethodsAnimal tissue both in vitro and in vivo(pig kidneys in vitro and rabbit kidney in vivo) were taken as experimental materials. Ultrasound images and temperature data were collected from radio frequency ablation experiment under approved protocol. Image subtraction and wavelet transform were performed on the ultrasound images to enhance the change during ablation, after which texture features were extracted to analyze the relationship with temperature.ResultsTexture features hybrid entropy and energy extracted from gray-level gradient co-occurrence matrix of ultrasound images processed had higher linear correlation with temperature than traditional gray value method. From in vitro and in vivo experiments, the linear correlation coefficients obtained between hybrid entropy and temperature were 0.979±0.028 and -0.935±0.037, respectively, and those between energy and temperature were 0.932±0.056 and -0.915±0.034, respectively. In addition, the slopes of linear model obtained in vitro were relatively consistent, while those under in vivo condition had certain individual differences.ConclusionsThe results demonstrated that texture features hybrid entropy and energy of ultrasound image processed with the method proposed in this paper can be used for temperature estimation with a smaller error because of high linear correlation with temperature both in vitro and in vivo. Compared with most previous research which only based on biomaterial in vitro, the in vivo experiment conducted in this paper verified the feasibility of the noninvasive temperature estimation method proposed in practice.

Despeckling of Carotid Artery Ultrasound Images with a Calculus Approach

2019 ◽  
Vol 15 (4) ◽  
pp. 414-426 ◽  
Author(s):  
S. Latha ◽  
Dhanalakshmi Samiappan
Keyword(s):  
Carotid Artery ◽  
Mean Square Error ◽  
Signal To Noise Ratio ◽  
Structural Similarity ◽  
Speckle Noise ◽  
Absolute Error ◽  
Block Matching ◽  
Ultrasound Images ◽  
Mean Square ◽  
Integral Calculus

<P>Background: Carotid artery images indicate any presence of plaque content, which may lead to atherosclerosis and stroke. Early identification of the disease is possible by taking B-mode ultrasound images in the carotid artery. Speckle is the inherent noise content in the ultrasound images, which essentially needs to be minimized. </P><P> Objective: The objective of the proposed method is to convert the multiplicative speckle noise into additive, after which the frequency transformations can be applied. </P><P> Method: The method uses simple differentiation and integral calculus and is named variable gradient summation. It differs from the conventional homomorphic filter, by preserving the edge features to a great extent and better denoising. The additive image is subjected to wavelet decomposition and further speckle filtering with three different filters Non Local Means (NLM), Vectorial Total Variation (VTV) and Block Matching and 3D filtering (BM3D) algorithms. By this approach, the components dependent on the image are identified and the unwanted noise content existing in the high frequency portion of the image is removed. </P><P> Results & Conclusion: Experiments conducted on a set of 300 B-mode ultrasound carotid artery images and the simulation results prove that the proposed method of denoising gives enhanced results as compared to the conventional process in terms of the performance evaluation methods like peak signal to noise ratio, mean square error, mean absolute error, root mean square error, structural similarity, quality factor, correlation and image enhancement factor.</P>

Basic study on estimation method of wall shear stress in common carotid artery using blood flow imaging

2020 ◽  
Vol 59 (SK) ◽  
pp. SKKE16 ◽  
Author(s):  
Ryo Nagaoka ◽  
Kazuma Ishikawa ◽  
Michiya Mozumi ◽  
Magnus Cinthio ◽  
Hideyuki Hasegawa
Keyword(s):  
Blood Flow ◽  
Shear Stress ◽  
Carotid Artery ◽  
Wall Shear Stress ◽  
Common Carotid Artery ◽  
Estimation Method ◽  
Flow Imaging ◽  
Basic Study ◽  
Blood Flow Imaging ◽  
Wall Shear

Nanodrugs as a new approach in therapy of cardiovascular diseases and cancer with tumor-associated angiogenesis

2020 ◽  
Vol 28 ◽  
Author(s):  
Justyna Hajtuch ◽  
Karolina Niska ◽  
Iwona Inkielewicz-Stepniak
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
Controlled Drug Release ◽  
Biological Properties ◽  
Comprehensive Information ◽  
Conventional Drug ◽  
Key Factor ◽  
Functionalized Materials

Background: Cancer along with cardiovascular diseases are globally defined as leading causes of death. Importantly, some risk factors are common to these diseases. The process of angiogenesis and platelets aggregation are observed in cancer development and progression. In recent years, studies have been conducted on nanodrugs in these diseases that have provided important information on the biological and physicochemical properties of nanoparticles. Their attractive features are that they are made of biocompatible, well-characterized and easily functionalized materials. Unlike conventional drug delivery, sustained and controlled drug release can be obtained by using nanomaterials. Methods: In this article, we review the latest research to provide comprehensive information on nanoparticle-based drugs for the treatment of cancer, cardiovascular disease associated with abnormal haemostasis, and the inhibition of tumorassociated angiogenesis. Results: The results of the analysis of data based on nanoparticles with drugs confirm their improved pharmaceutical and biological properties, which gives promising antiplatelet, anticoagulant and antiangiogenic effects. Moreover, the review included in vitro, in vivo research and presented nanodrugs with chemotherapeutics approved by Food and Drug Administration. Conclusion: By the optimization of nanoparticles size and surface properties, nanotechnology are able to deliver drugs with enhanced bioavailability in treatment of cardiovascular disease, cancer and inhibition of cancer-related angiogenesis. Thus, nanotechnology can improve the therapeutic efficacy of the drug, but there is a need for a better understanding of the nanodrugs interaction in the human body, because this is a key factor in the success of potential nanotherapeutics.

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