importing and visualizing 4d b-mode and color doppler ultrasound data of thyroid morphology in matlab

甲状腺结构和功能信息的同步可视化

Hashimoto's thyroiditis (HT), the most frequent autoimmune thyroid disorder (AITD), is the leading cause of hypothyroidism in iodine-sufficient areas of the world1. It is characterized by lymphocytic infiltration and autoantibodies against thyroid antigens, leading to the destruction of thyroid architecture and hypothyroidism2. Staging of HT aims to assess the severity and guide treatment decisions. It relies on a combination of biochemical markers such as thyroid stimulating hormone (TSH) and thyroid autoantibodies3, as well as ultrasonographic features visible on thyroid ultrasound4,5,6.
On ultrasound examination, HT demonstrates characteristic findings, including diffusely decreased echogenicity, heterogeneous echotexture, micronodularity, and increased blood flow on color Doppler6,7. However, conventional two-dimensional (2D) grayscale ultrasound lacks quantitative methods for systematically analyzing these features for HT staging8. The assessment of vascularity changes is also limited to qualitative visual inspection in 2D mode. The complex three-dimensional (3D) architecture of the thyroid gland further hampers thorough evaluation using conventional 2D slicing9,10. These factors lead to imaging blind spots and misinterpretation, resulting in low sensitivity and specificity, especially for less experienced practitioners11,12.
Conventional handheld ultrasound scanning integrates real-time acquisition and diagnosis. This coupled workflow reliance increases the likelihood of oversight errors during scanning. The lack of spatial localization and tracking also makes lesion identification and monitoring imprecise12,13. Dedicated 3D ultrasound systems have emerged to address these limitations and have shown promising results14,15. However, most 3D ultrasound technologies require complex mechanical scanning mechanisms and specialized transducers, leading to high costs and barriers to adoption.
To overcome the limitations of conventional 2D and 3D ultrasound techniques, this study proposes a novel 3D reconstruction and visualization solution tailored for thyroid examination. Using widely available handheld ultrasound, multiple 2D sweeps are first acquired to scan the entire thyroid gland. 3D volumetric reconstruction is then realized by spatial registration and fusion of the 2D sequences. Concurrently, color Doppler frames are coregistered to create vascularity maps visualizing blood flow changes. The reconstructed 3D grayscale volumes and colored vascularity maps are finally integrated into a single platform, enabling synchronized multi-planar visualization and combined structural-functional inspection.
This proposed 3D fusion technique provides a systematic and comprehensive evaluation of the complex thyroid morphology from different aspects. By minimizing blind spots and enabling global overview, it could help improve diagnostic accuracy and reduce oversight errors, especially benefiting novice practitioners. The multi-modal visualization also facilitates rapid and precise localization of lesions, holding promise for early diagnosis and treatment of thyroid nodules and tumors. Moreover, the method introduces quantitative 3D feature analysis which has not been investigated for HT staging before. With wide adoption, it has the potential to standardize and objectify the currently experience-dependent ultrasound diagnosis procedures. By synergistically integrating handheld 3D reconstruction, multi-modal fusion, quantitative feature analysis, and flexible visualization into a streamlined workflow, this low-cost, easy-to-use technique represents a diagnostically powerful leap from conventional 2D ultrasound for advancing thyroid examination.

作者聚焦：将超声成像与生化标志物相结合用于甲状腺疾病诊断

与彩色多普勒映射相结合的同步三平面重建，可精确快速定位甲状腺病变

The scope of our research focus on the precise, quantitative diagnosis of thyroid disease, specifically exploring how different status of the disease can be accurately quantified. Currently, the fusion diagnosis of ultrasound imaging and the solid biochemical markers is being utilized to advance research in our field. We have established significant findings in our field by synchronizing the ultrasound, and the Color Doppler ultrasound in 3D space to diagnose solid imaging indicators and integrate them with biochemical indicators.With our protocol, we are addressing the research gap by utilizing portable handheld ultrasound devices to achieve panoramic observation and diagnosis of the triplanar views of solid ultrasound imaging. Our protocol offers the advantage of high cost-effectiveness, and comprehensive precise diagnosis compared to other techniques.

在MATLAB中导入和可视化甲状腺形态的4D B模和彩色多普勒超声数据

在获取一系列横向B模式图像后，可视化甲状腺形态，将所有DICOM数据复制到自定义的工作目录中。在计算机上打开MATLAB，在命令窗口中，输入指示的命令以查看大小VB零数据的大小。接下来，输入指示的命令调用US B show函数将四维矩阵转换为连续灰度视频序列，按下播放按钮启动帧序列的连续视频播放。使用暂停和播放控制工具图标可灵活导航任何帧。使用放大或缩小按钮在播放过程中动态放大或缩小图像。将默认缩放按钮设置为原始 1X 视图。对于局部分析，请单击“检查像素值”按钮，然后将鼠标移到某个区域上，以将十字准线与像素坐标和强度叠加在一起。使用DICOM读取功能，将甲状腺的彩色多普勒超声数据导入MATLAB。然后选择大小函数以查看数据的维度。接下来，使用美式下划线 C 下划线显示函数将 40 个矩阵数据转换为连续彩色视频序列进行详细检查。

importing-visualizing-4d-b-mode-color-doppler-ultrasound-data-thyroid

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Importing and Visualizing 4D B-Mode and Color Doppler Ultrasound Data of Thyroid Morphology in MATLAB

Unit 1

Statistical Softwares

SCIENTISTS IN ACTION

91 次观看.  Beijing University of Chinese Medicine. 在获取一系列横向B模式图像后，可视化甲状腺形态，将所有DICOM数据复制到自定义的工作目录中。在计算机上打开MATLAB，在命令窗口中，输入指示的命令以查看大小VB零数据的大小。接下来，输入指示的命令调用US B show函数将四维矩阵转换为连续灰度视频序列，按下播放按钮启动帧序列的连续视频播放。使用暂停和播放控制工具图标可灵活导航任何帧。使用放大或缩小?...

视频: 在MATLAB中导入和可视化甲状腺形态的4D B模和彩色多普勒超声数据

Synchronous Triplanar Reconstruction Integrated with Color Doppler Mapping for Precise and Rapid Localization of Thyroid Lesions

This paper proposes a novel thyroid examination technique based on five-dimensional (5D) synchronous reconstruction of ultrasound data. The raw temporal sequences are reconstructed into 3D volumetric data reflecting anatomical structure. Triplanar visualization from three orthogonal planes is realized to provide a systematic inspection of the entire gland. Color Doppler imaging is integrated into each triplanar slice to map vascularity changes. This multi-modal fusion enables synchronous display of structural, functional, and blood flow information in the reconstructed 5D space. Compared to conventional scanning, this technique offers the benefits of flexible offline diagnosis, reduced dependency on scanning, enhanced intuitive interpretation, and comprehensive multi-aspect evaluation. By minimizing oversight errors, it could improve diagnostic accuracy, especially for novice practitioners. The proposed 5D fusion method allows rapid and precise localization of lesions for early detection. Future work will explore integration with biochemical markers to further improve diagnostic precision. The technique has considerable clinical value for advancing thyroid examination.

Here we present a 5D ultrasound technique combining multi-planar 3D reconstruction and color Doppler fusion, which enables synchronous visualization of thyroid structural and functional information. By minimizing blind spots, this method allows rapid, precise localization of lesions to improve diagnostic accuracy, especially benefiting novice practitioners.

This paper proposes a novel thyroid examination technique based on five-dimensional (5D) synchronous reconstruction of ultrasound data. The raw temporal ...