Ultrasonic Imaging最新文献_第4页

A Data-Driven Approach for Estimating Temperature Variations Based on B-mode Ultrasound Images and Changes in Backscattered Energy. 基于b超图像和后向散射能量变化的温度变化数据驱动方法。

IF 2.3 4区医学

Ultrasonic Imaging Pub Date : 2024-01-01 Epub Date: 2023-12-01 DOI: 10.1177/01617346231205810

Luiz F R Oliveira, Felipe M G França, Wagner C A Pereira

{"title":"A Data-Driven Approach for Estimating Temperature Variations Based on B-mode Ultrasound Images and Changes in Backscattered Energy.","authors":"Luiz F R Oliveira, Felipe M G França, Wagner C A Pereira","doi":"10.1177/01617346231205810","DOIUrl":"10.1177/01617346231205810","url":null,"abstract":"Thermal treatments that use ultrasound devices as a tool have as a key point the temperature control to be applied in a specific region of the patient's body. This kind of procedure requires caution because the wrong regulation can either limit the treatment or aggravate an existing injury. Therefore, determining the temperature in a region of interest in real-time is a subject of high interest. Although this is still an open problem, in the field of ultrasound analysis, the use of machine learning as a tool for both imaging and automated diagnostics are application trends. In this work, a data-driven approach is proposed to address the problem of estimating the temperature in regions of a B-mode ultrasound image as a supervised learning problem. The proposal consists in presenting a novel data modeling for the problem that includes information retrieved from conventional B-mode ultrasound images and a parametric image built based on changes in backscattered energy (CBE). Then, we compare the performance of classic models in the literature. The computational results presented that, in a simulated scenario, the proposed approach that a Gradient Boosting model would be able to estimate the temperature with a mean absolute error of around 0.5°C, which is acceptable in practical environments both in physiotherapic treatments and high intensity focused ultrasound (HIFU).","PeriodicalId":49401,"journal":{"name":"Ultrasonic Imaging","volume":" ","pages":"3-16"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138471139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic Detection of Thyroid Nodule Characteristics From 2D Ultrasound Images. 从二维超声图像中自动检测甲状腺结节特征。

IF 2.3 4区医学

Ultrasonic Imaging Pub Date : 2024-01-01 Epub Date: 2023-10-21 DOI: 10.1177/01617346231200804

Dongxu Han, Nasir Ibrahim, Feng Lu, Yicheng Zhu, Hongbo Du, Alaa AlZoubi

{"title":"Automatic Detection of Thyroid Nodule Characteristics From 2D Ultrasound Images.","authors":"Dongxu Han, Nasir Ibrahim, Feng Lu, Yicheng Zhu, Hongbo Du, Alaa AlZoubi","doi":"10.1177/01617346231200804","DOIUrl":"10.1177/01617346231200804","url":null,"abstract":"Thyroid cancer is one of the common types of cancer worldwide, and Ultrasound (US) imaging is a modality normally used for thyroid cancer diagnostics. The American College of Radiology Thyroid Imaging Reporting and Data System (ACR TIRADS) has been widely adopted to identify and classify US image characteristics for thyroid nodules. This paper presents novel methods for detecting the characteristic descriptors derived from TIRADS. Our methods return descriptions of the nodule margin irregularity, margin smoothness, calcification as well as shape and echogenicity using conventional computer vision and deep learning techniques. We evaluate our methods using datasets of 471 US images of thyroid nodules acquired from US machines of different makes and labeled by multiple radiologists. The proposed methods achieved overall accuracies of 88.00%, 93.18%, and 89.13% in classifying nodule calcification, margin irregularity, and margin smoothness respectively. Further tests with limited data also show a promising overall accuracy of 90.60% for echogenicity and 100.00% for nodule shape. This study provides an automated annotation of thyroid nodule characteristics from 2D ultrasound images. The experimental results showed promising performance of our methods for thyroid nodule analysis. The automatic detection of correct characteristics not only offers supporting evidence for diagnosis, but also generates patient reports rapidly, thereby decreasing the workload of radiologists and enhancing productivity.","PeriodicalId":49401,"journal":{"name":"Ultrasonic Imaging","volume":" ","pages":"41-55"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49684194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility. 人肩袖肌肉的高频定量超声成像:重复性和再现性的评估。

IF 2.3 4区医学

Ultrasonic Imaging Pub Date : 2024-01-01 Epub Date: 2023-11-20 DOI: 10.1177/01617346231207404

Yuanshan Wu, Victor Barrere, Aria Ashir, Xiaojun Chen, Livia T Silva, Saeed Jerban, Aiguo Han, Michael P Andre, Sameer B Shah, Eric Y Chang

{"title":"High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility.","authors":"Yuanshan Wu, Victor Barrere, Aria Ashir, Xiaojun Chen, Livia T Silva, Saeed Jerban, Aiguo Han, Michael P Andre, Sameer B Shah, Eric Y Chang","doi":"10.1177/01617346231207404","DOIUrl":"10.1177/01617346231207404","url":null,"abstract":"This study evaluated the repeatability and reproducibility of using high-frequency quantitative ultrasound (QUS) measurement of backscatter coefficient (BSC), grayscale analysis, and gray-level co-occurrence matrix (GLCM) textural analysis, to characterize human rotator cuff muscles. The effects of varying scanner settings across two different operators and two US systems were investigated in a healthy volunteer with normal rotator cuff muscles and a patient with chronic massive rotator cuff injury and substantial muscle degeneration. The results suggest that BSC is a promising method for assessing rotator cuff muscles in both control and pathological subjects, even when operators were free to adjust system settings (depth, level of focus, and time-gain compensation). Measurements were repeatable and reproducible across the different operators and ultrasound imaging platforms. In contrast, grayscale and GLCM analyses were found to be less reliable in this setting, with significant measurement variability. Overall, the repeatability and reproducibility measurements of BSC indicate its potential as a diagnostic tool for rotator cuff muscle evaluation.","PeriodicalId":49401,"journal":{"name":"Ultrasonic Imaging","volume":" ","pages":"56-70"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11170563/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138048257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images. ENAS- b:结合ENAS和贝叶斯优化自动设计乳腺病变超声图像分类的最优CNN架构。

IF 2.3 4区医学

Ultrasonic Imaging Pub Date : 2024-01-01 Epub Date: 2023-11-20 DOI: 10.1177/01617346231208709

Mohammed Ahmed, Hongbo Du, Alaa AlZoubi

{"title":"ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images.","authors":"Mohammed Ahmed, Hongbo Du, Alaa AlZoubi","doi":"10.1177/01617346231208709","DOIUrl":"10.1177/01617346231208709","url":null,"abstract":"Efficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) design. It has been successfully used in various applications including ultrasound image classification for breast lesions. However, the existing ENAS approach only optimizes cell structures rather than the whole CNN architecture nor its trainable hyperparameters. This paper presents a novel framework for automatic design of CNN architectures by combining strengths of ENAS and Bayesian Optimization in two-folds. Firstly, we use ENAS to search for optimal normal and reduction cells. Secondly, with the optimal cells and a suitable hyperparameter search space, we adopt Bayesian Optimization to find the optimal depth of the network and optimal configuration of the trainable hyperparameters. To test the validity of the proposed framework, a dataset of 1522 breast lesion ultrasound images is used for the searching and modeling. We then evaluate the robustness of the proposed approach by testing the optimized CNN model on three external datasets consisting of 727 benign and 506 malignant lesion images. We further compare the CNN model with the default ENAS-based CNN model, and then with CNN models based on the state-of-the-art architectures. The results (error rate of no more than 20.6% on internal tests and 17.3% on average of external tests) show that the proposed framework generates robust and light CNN models.","PeriodicalId":49401,"journal":{"name":"Ultrasonic Imaging","volume":" ","pages":"17-28"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138048256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Method for Prediction of Raised Intracranial Pressure Through Automated ONSD and ETD Ratio Measurement From Ocular Ultrasound. 通过眼部超声波自动测量 ONSD 和 ETD 比率预测颅内压升高的新方法。

IF 2.3 4区医学

Ultrasonic Imaging Pub Date : 2024-01-01 Epub Date: 2023-09-12 DOI: 10.1177/01617346231197593

Maninder Singh, Vishal Gupta, Rajeev Gupta, Basant Kumar, Deepak Agrawal

{"title":"A Novel Method for Prediction of Raised Intracranial Pressure Through Automated ONSD and ETD Ratio Measurement From Ocular Ultrasound.","authors":"Maninder Singh, Vishal Gupta, Rajeev Gupta, Basant Kumar, Deepak Agrawal","doi":"10.1177/01617346231197593","DOIUrl":"10.1177/01617346231197593","url":null,"abstract":"The paper presents a novel framework for the prediction of the raised Intracranial Pressure (ICP) from ocular ultrasound images of traumatic patients through automated measurement of Optic Nerve Sheath Diameter (ONSD) and Eyeball Transverse Diameter (ETD). The measurement of ONSD using an ocular ultrasound scan is non-invasive and correlates with the raised ICP. However, the existing studies suggested that the ONSD value alone is insufficient to indicate the ICP condition. Since the ONSD and ETD values may vary among patients belonging to different ethnicity/origins, there is a need for developing an independent global biomarker for predicting raised ICP condition. The proposed work develops an automated framework for the prediction of raised ICP by developing algorithms for the automated measurement of ONSD and ETD values. It is established that the ONSD and ETD ratio (OER) is a potential biomarker for ICP prediction independent of ethnicity and origin. The OER threshold value is determined by performing statistical analysis on the data of 57 trauma patients obtained from the AIIMS, New Delhi. The automated OER is computed and compared with the conventionally measured ICP by determining suitable correlation coefficients. It is found that there is a significant correlation of OER with ICP (r = .81, p ≤ .01), whereas the correlation of ONSD alone with ICP is relatively less (r = .69, p = .004). These correlation values indicate that OER is a better parameter for the prediction of ICP. Further, the threshold value of OER is found to be 0.21 for predicting raised ICP conditions in this study. Scatter plot and Heat map analysis of OER and corresponding ICP reveal that patients with OER ≥ 0.21, have ICP in the range of 17 to 35 mm Hg. In the data available for this research work, OER ranges from 0.17 to 0.35.","PeriodicalId":49401,"journal":{"name":"Ultrasonic Imaging","volume":" ","pages":"29-40"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10268363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rapid and Efficient Computation of Cell Paths During Ultrasonic Focusing. 超声聚焦过程中细胞路径的快速高效计算。

IF 2.3 4区医学

Ultrasonic Imaging Pub Date : 2023-09-01 Epub Date: 2023-08-29 DOI: 10.1177/01617346231195598

Charles F Babbs, Mary V Lang

引用次数: 0

Ultrasonographic Findings and Prognosis of Metastases to the Thyroid Gland. 甲状腺转移的超声表现与预后。

IF 2.3 4区医学

Ultrasonic Imaging Pub Date : 2023-09-01 Epub Date: 2023-07-05 DOI: 10.1177/01617346231179620

Wenting Xie, Yaoqin Wang, Zhongshi Du, Yijie Chen, Yu Wu, Dongdong Zhu, Lina Tang

{"title":"Ultrasonographic Findings and Prognosis of Metastases to the Thyroid Gland.","authors":"Wenting Xie, Yaoqin Wang, Zhongshi Du, Yijie Chen, Yu Wu, Dongdong Zhu, Lina Tang","doi":"10.1177/01617346231179620","DOIUrl":"10.1177/01617346231179620","url":null,"abstract":"Metastases to the thyroid gland (MTT) are uncommon in clinical practice. The ultrasound (US) features are easily confused with primary thyroid malignancy, Hashimoto's thyroiditis, and other thyroid diseases. Therefore, this study aimed to assess the role of US and analysis of prognosis of MTT. A total of 45 patients with MTT in the database between July 2009 and February 2022 at the Fujian Cancer Hospital were reviewed. US examinations were performed only on 20 patients, who were finally included in our study. Among the 20 patients, nine were male, and eleven were female. According to US characteristics, metastases to the thyroid gland were divided into nodular and diffuse types (17 and 3 cases, respectively). Three lesions (17.6%) had circumscribed margins, and 14 (82.4%) were uncircumscribed. Three lesions (17.6%) were regular in shape, and 14 (82.4%) were irregular. Nine metastases (52.9%) were a taller-than-wide shape, and eight (47.1%) were not a taller-than-wide shape. Ten lesions (58.8%) had rich vascularity, and seven (41.2%) had absence/not rich vascularity. The mean overall survival (OS) from the time of MTT diagnosis was 22 months (95% confidence interval: 5.95-38.05). The 1-, 3-, and 5-year OS after metastasis was 68.1%, 25.5%, and 17%, respectively. The prognosis of MTT was poor, which is closely related to the characteristics of the primary tumor and metastatic disease. The US findings and US-guided core needle biopsy may be useful in diagnosing MTT in patients with a history of the malignant tumors.","PeriodicalId":49401,"journal":{"name":"Ultrasonic Imaging","volume":" ","pages":"219-226"},"PeriodicalIF":2.3,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9756478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

UITC Abstracts 2023 unitc摘要2023

IF 2.3 4区医学

Ultrasonic Imaging Pub Date : 2023-07-17 DOI: 10.1177/01617346231186897

Louise Zhuang, Walter Simson, Oleksii Ostras, Jeremy Dahl, cristian rios, Jahani Jirsaraei, Erica L. King, A. Bashatah, Brian M. Guthrie, Margaret T. Jones, Qi Wei, S. Sikdar, V. chitnis, David Alberico, D. DiCenzo, Joyce yip, L. Sannachi, frances Wright, M. Oelze, O. Falou, sannachi, J. czarnota, M. Kolios, Kazuyo Ito, Quan V Hoang, A. mcfadden, Jonathan Mamou

引用次数: 0

A Geometric Model of Ultrasound Backscatter to Describe Microstructural Anisotropy of Tissue. 描述组织微观结构各向异性的超声波反向散射几何模型

IF 2.5 4区医学

Ultrasonic Imaging Pub Date : 2023-07-01 Epub Date: 2023-04-27 DOI: 10.1177/01617346231171147

Andrew P Santoso, Ivan Rosado-Mendez, Quinton W Guerrero, Timothy J Hall

引用次数: 0

Regularization-Based 2D Strain Tensor Imaging in Quasi-Static Ultrasound Elastography SAGE Publications. 准静态超声弹性成像中基于正则化的二维应变张量成像SAGE出版物。

IF 2.3 4区医学

Ultrasonic Imaging Pub Date : 2023-07-01 DOI: 10.1177/01617346231168982

Anne-Lise Duroy, Valérie Detti, Agnès Coulon, Olivier Basset, Elisabeth Brusseau

{"title":"Regularization-Based 2D Strain Tensor Imaging in Quasi-Static Ultrasound Elastography SAGE Publications.","authors":"Anne-Lise Duroy, Valérie Detti, Agnès Coulon, Olivier Basset, Elisabeth Brusseau","doi":"10.1177/01617346231168982","DOIUrl":"https://doi.org/10.1177/01617346231168982","url":null,"abstract":"Accurately estimating all strain components in quasi-static ultrasound elastography is crucial for the full analysis of biological media. In this study, 2D strain tensor imaging was investigated, focusing on the use of a regularization method to improve strain images. This method enforces the tissue property of (quasi-) incompressibility, while penalizing strong field variations, to smooth the displacement fields and reduce the noise in the strain components. The performance of the method was assessed with numerical simulations, phantoms, and in vivo breast tissues. For all the media examined, the results showed a significant improvement in both lateral displacement and strain, while axial fields were only slightly modified by the regularization. The introduction of penalty terms allowed us to obtain shear strain and rotation elastograms where the patterns around the inclusions/lesions were clearly visible. In phantom cases, the findings were consistent with the results obtained from the modeling of the experiments. Finally, the easier detectability of the inclusions/lesions in the final lateral strain images was associated with higher elastographic contrast-to-noise ratios (CNRs), with values in the range of [0.54-9.57] versus [0.08-0.38] before regularization.","PeriodicalId":49401,"journal":{"name":"Ultrasonic Imaging","volume":"45 4","pages":"187-205"},"PeriodicalIF":2.3,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10044382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1