Diffusion-weighted breast magnetic resonance imaging with distortion correction using non-rigid image registration: a clinical study

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Diffusion-weighted breast magnetic resonance imaging with distortion correction using non-rigid image registration: a clinical study

机译：扩散加权乳房共振成像与失真校正使用非刚性图像注册：临床研究

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Our distortion correction method for diffusion-weighted breast images was applied to clinical studies to evaluate its practicality. We used b values of 0 and 1500 s/mm(2) and dynamic images captured after injecting the contrast medium for magnetic resonance imaging (MRI). This method is based on non-rigid image registration, and dispenses with multiple scans, reducing examination time and patient burden. Image correction included the following: matrix size matching; segmentation; edge detection; non-rigid image registration between T2-weighted images with fat suppression and b0 images; and image warping of b1500 images. Significant differences were noted for all combinations of cross-correlation coefficients of whole-breast images between with and without correction, and no significant differences for apparent diffusion coefficients. The percentage differences were not significant for cross-correlation coefficients, with and without correction, calculated for various sizes, positions, and types of lesions of high-intensity regions. In conclusion, our distortion correction method is effective for clinical breast MRI.

机译：对扩散加权乳房图像的失真校正方法应用于临床研究以评估其实用性。我们使用的B值为0和1500 s / mm（2）和在注入磁共振成像（MRI）的对比度后捕获的动态图像。该方法基于非刚性图像配准，并省略多次扫描，减少考试时间和患者负担。图像更正包括以下内容：矩阵大小匹配;分割;边缘检测;具有脂肪抑制和B0图像的T2加权图像之间的非刚性图像配准;和B1500图像的图像翘曲。对于在和不校正之间的全乳房图像的互相关系数的所有组合，对表观扩散系数的所有互相关系数的所有组合都没有注意到显着差异。对于互相关系数，随着高强度区域的各种尺寸，位置和类型的类型来计算，互相关系数的差异差异并不重要。总之，我们的畸变校正方法对临床乳房MRI有效。

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《Industrial and organizational psychology》 |2020年第2期|共9页
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正文语种 eng
中图分类心理学;
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Magnetic resonance imaging; Diffusion-weighted image; Breast; Distortion correction; Non-rigid image registration;

机译：磁共振成像;扩散加权图像;乳房;失真校正;非刚性图像配准;

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1. Diffusion-weighted breast magnetic resonance imaging with distortion correction using non-rigid image registration: a clinical study [J] . Industrial and organizational psychology . 2020,第2期

机译：扩散加权乳房共振成像与失真校正使用非刚性图像注册：临床研究
2. Novel distortion correction method for diffusion-weighted imaging based on non-rigid image registration between low b value image and anatomical image [J] . Takatsu Yasuo, Sagawa Hajime, Nakamura Masafumi, Magnetic resonance imaging: An International journal of basic research and clinical applications . 2019,第期

机译：基于非刚性图像登记的低B值图像和解剖图像的扩散加权成像新的畸变校正方法
3. Feasibility of 7 Tesla breast magnetic resonance imaging determination of intrinsic sensitivity and high-resolution magnetic resonance imaging, diffusion-weighted imaging, and (1)H-magnetic resonance spectroscopy of breast cancer patients receiving neoadjuvant therapy. [J] . Korteweg MA, Veldhuis WB, Visser F, Investigative radiology . 2011,第6期

机译：7特斯拉乳腺磁共振成像测定固有灵敏度和高分辨率磁共振成像，扩散加权成像以及（1）H核磁共振波谱对接受新辅助治疗的乳腺癌患者的可行性。
4. Distortion Correction via Non-rigid Registration of Functional to Anatomical Magnetic Resonance Brain Images [C] . Institute of Electrical and Electronics Engineers International Conference on Image Processing . 2006

机译：通过非刚性注册功能对解剖磁共振大脑图像的非刚性注册的失真校正
5. Non-rigid image registration for enhanced localization in magnetic resonance brain imaging. [D] . Gholipour-Baboli, Ali. 2008

机译：非刚性图像配准可增强磁共振脑成像中的定位。
6. Recent advances in magnetic resonance neuroimaging of lumbar nerve to clinical applications: A review of clinical studies utilizing Diffusion Tensor Imaging and Diffusion-weighted magnetic resonance neurography [O] . Yawara Eguchi, Hirohito Kanamoto, Yasuhiro Oikawa, 2017

机译：腰神经磁共振神经成像在临床应用中的最新进展：使用扩散张量成像和扩散加权磁共振神经成像的临床研究综述
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8. Detection and Evaluation of Early Breast Cancer via Magnetic Resonance Imaging: Studies of Mouse Models and Clinical Implementation [R] . Jansen, S. A. 2009

机译：通过磁共振成像检测和评估早期乳腺癌：小鼠模型的研究和临床实施

Diffusion-weighted breast magnetic resonance imaging with distortion correction using non-rigid image registration: a clinical study

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