scholarly journals Small-window parametric imaging based on information entropy for ultrasound tissue characterization

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Po-Hsiang Tsui ◽  
Chin-Kuo Chen ◽  
Wen-Hung Kuo ◽  
King-Jen Chang ◽  
Jui Fang ◽  
...  
Keyword(s):  
Information Entropy ◽  
Tissue Characterization ◽  
Parametric Imaging ◽  
Ultrasound Tissue Characterization ◽  
Small Window

scholarly journals Hepatic Steatosis Assessment Using Quantitative Ultrasound Parametric Imaging Based on Backscatter Envelope Statistics

2019 ◽  
Vol 9 (4) ◽  
pp. 661 ◽  
Author(s):  
Zhuhuang Zhou ◽  
Qiyu Zhang ◽  
Weiwei Wu ◽  
Shuicai Wu ◽  
Po-Hsiang Tsui
Keyword(s):  
Liver Biopsy ◽  
Hepatic Steatosis ◽  
Quantitative Ultrasound ◽  
Tissue Characterization ◽  
Imaging Techniques ◽  
Parametric Imaging ◽  
Sampling Errors ◽  
Alcoholic Fatty Liver ◽  
Ultrasound Tissue Characterization ◽  
Model Based

Hepatic steatosis is a key manifestation of non-alcoholic fatty liver disease (NAFLD). Early detection of hepatic steatosis is of critical importance. Currently, liver biopsy is the clinical golden standard for hepatic steatosis assessment. However, liver biopsy is invasive and associated with sampling errors. Ultrasound has been recommended as a first-line diagnostic test for the management of NAFLD. However, B-mode ultrasound is qualitative and can be affected by factors including image post-processing parameters. Quantitative ultrasound (QUS) aims to extract quantified acoustic parameters from the ultrasound backscattered signals for ultrasound tissue characterization and can be a complement to conventional B-mode ultrasound. QUS envelope statistics techniques, both statistical model-based and non-model-based, have shown potential for hepatic steatosis characterization. However, a state-of-the-art review of hepatic steatosis assessment using envelope statistics techniques is still lacking. In this paper, envelope statistics-based QUS parametric imaging techniques for characterizing hepatic steatosis are reviewed and discussed. The reviewed ultrasound envelope statistics parametric imaging techniques include acoustic structure quantification imaging, ultrasound Nakagami imaging, homodyned-K imaging, kurtosis imaging, and entropy imaging. Future developments are suggested.

scholarly journals Clinical Value of Information Entropy Compared with Deep Learning for Ultrasound Grading of Hepatic Steatosis

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 1006 ◽  
Author(s):  
Jheng-Ru Chen ◽  
Yi-Ping Chao ◽  
Yu-Wei Tsai ◽  
Hsien-Jung Chan ◽  
Yung-Liang Wan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Hepatic Steatosis ◽  
Information Entropy ◽  
Tissue Characterization ◽  
Fatty Infiltration ◽  
Quantitative Measure ◽  
Roc Curves ◽  
Clinical Value ◽  
Roc Curve Analysis ◽  
Ultrasound Tissue Characterization

Entropy is a quantitative measure of signal uncertainty and has been widely applied to ultrasound tissue characterization. Ultrasound assessment of hepatic steatosis typically involves a backscattered statistical analysis of signals based on information entropy. Deep learning extracts features for classification without any physical assumptions or considerations in acoustics. In this study, we assessed clinical values of information entropy and deep learning in the grading of hepatic steatosis. A total of 205 participants underwent ultrasound examinations. The image raw data were used for Shannon entropy imaging and for training and testing by the pretrained VGG-16 model, which has been employed for medical data analysis. The entropy imaging and VGG-16 model predictions were compared with histological examinations. The diagnostic performances in grading hepatic steatosis were evaluated using receiver operating characteristic (ROC) curve analysis and the DeLong test. The areas under the ROC curves when using the VGG-16 model to grade mild, moderate, and severe hepatic steatosis were 0.71, 0.75, and 0.88, respectively; those for entropy imaging were 0.68, 0.85, and 0.9, respectively. Ultrasound entropy, which varies with fatty infiltration in the liver, outperformed VGG-16 in identifying participants with moderate or severe hepatic steatosis (p < 0.05). The results indicated that physics-based information entropy for backscattering statistics analysis can be recommended for ultrasound diagnosis of hepatic steatosis, providing not only improved performance in grading but also clinical interpretations of hepatic steatosis.

scholarly journals Introduction of the Grayscale Median for Ultrasound Tissue Characterization of the Transplanted Kidney

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 390
Author(s):  
Camilo G. Sotomayor ◽  
Stan Benjamens ◽  
Hildebrand Dijkstra ◽  
Derya Yakar ◽  
Cyril Moers ◽  
...  
Keyword(s):  
Kidney Transplant ◽  
Tissue Characterization ◽  
Kidney Transplant Recipients ◽  
Systematic Assessment ◽  
Ultrasound Tissue Characterization ◽  
Adult Kidney ◽  
Mersenne Twister ◽  
History Of

Ultrasound examination is advised for early post-kidney transplant assessment. Grayscale median (GSM) quantification is novel in the kidney transplant field, with no systematic assessment previously reported. In this prospective cohort study, we measured the post-operative GSM in a large cohort of adult kidney transplant recipients (KTR) who consecutively underwent Doppler ultrasound directly after transplantation (within 24 h), compared it with GSM in nontransplanted patients, and investigated its association with baseline and follow-up characteristics. B-mode images were used to calculate the GSM in KTR and compared with GSM data in nontransplanted patients, as simulated from summary statistics of the literature using a Mersenne twister algorithm. The association of GSM with baseline and 1-year follow-up characteristics were studied by means of linear regression analyses. In 282 KTR (54 ± 15 years old, 60% male), the median (IQR) GSM was 55 (45–69), ranging from 22 to 124 (coefficient of variation = 7.4%), without differences by type of donation (p = 0.28). GSM in KTR was significantly higher than in nontransplanted patients (p < 0.001), and associated with systolic blood pressure, history of cardiovascular disease, and donor age (std. β = 0.12, −0.20, and 0.13, respectively; p < 0.05 for all). Higher early post-kidney transplant GSM was not associated with 1-year post-kidney transplant function parameters (e.g., measured and estimated glomerular filtration rate). The data provided in this study could be used as first step for further research on the application of early postoperative ultrasound in KTR.

scholarly journals Running a Marathon—Its Influence on Achilles Tendon Structure

2020 ◽  
Vol 55 (2) ◽  
pp. 176-180 ◽  
Author(s):  
Lucas Maciel Rabello ◽  
Iris Sophie Albers ◽  
Mathijs van Ark ◽  
Ron L. Diercks ◽  
Inge van den Akker-Scheek ◽  
...  
Keyword(s):  
Achilles Tendon ◽  
Sports Medicine ◽  
Tissue Characterization ◽  
Case Series ◽  
Type I ◽  
Ultrasound Tissue Characterization ◽  
Type Iv ◽  
Imaging Tool ◽  
Cyclic Movements ◽  
Echo Type

Context Several studies have been conducted to better understand the effect of load on the Achilles tendon structure. However, the effect of a high cumulative load consisting of repetitive cyclic movements, such as those that occur during the running of a marathon, on Achilles tendon structure is not yet clear. Clinicians, coaches, and athletes will benefit from knowledge about the effects of a marathon on the structure of the Achilles tendon. Objective To investigate the short-term response of the Achilles tendon structure to running a marathon. Design Case series (prospective). Setting Sports medicine centers. Patients or Other Participants Ten male nonelite runners who ran in a marathon. Main Outcomes Measure(s) Tendon structure was assessed before and 2 and 7 days after a marathon using ultrasound tissue characterization (UTC), an imaging tool that quantifies tendon organization in 4 echo types (I–IV). Echo type I represents the most stable echo pattern, and echo type IV, the least stable. Results At 7 days postmarathon, both the insertional and midportion structure changed significantly. At both sites, the percentage of echo type II increased (insertion P &lt; .01; midportion P = .02) and the percentages of echo types III and IV decreased (type III: insertion P = .01; midportion P = .02; type IV: insertion P = .01; midportion P &lt; .01). Additionally, at the insertion, the percentage of echo type I decreased (P &lt; .01). Conclusions We observed the effects of running a marathon on the Achilles tendon structure 7 days after the event. Running the marathon combined with the activity performed shortly thereafter might have caused the changes in tendon structure. This result emphasizes the importance of sufficient recovery time after running a marathon to prevent overuse injuries.

Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm

2018 ◽  
Vol 155 ◽  
pp. 165-177 ◽  
Author(s):  
Mainak Biswas ◽  
Venkatanareshbabu Kuppili ◽  
Damodar Reddy Edla ◽  
Harman S. Suri ◽  
Luca Saba ◽  
...  
Keyword(s):  
Deep Learning ◽  
Risk Stratification ◽  
Tissue Characterization ◽  
Learning Paradigm ◽  
Ultrasound Tissue Characterization ◽  
Liver Ultrasound
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