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DWI、IVIM-DWI及相关新技术在乳腺癌中的应用进展

Application Progress of DWI, IVIM-DWI and Related New Technologies in Breast Cancer
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摘要 常规的扩散成像(diffusion weighted imaging, DWI)采用单e指数模型,近似地认为每个体素内的扩散为单一成分,反映了扩散的总体情况,不能反映生物组织内复杂的扩散信息。小视野成像(reduced field of view, r-FOV)和体素不相干运动(intravoxel incoherent motion , IVIM)这两种新的扩散加权成像技术在提高图像质量的同时,反映组织弥散和灌注信息,提供了乳腺肿瘤组织更多的生理病理信息。 Conventional diffusion weighted imaging (DWI) uses a single e-exponential model. Approximately, the diffusion of each voxel is considered to be a single component, which reflects the overall situa-tion of diffusion and cannot reflect the complex diffusion information in biological tissues. Reduced field of view (r-FOV) and intravoxel incoherent motion (IVIM), two new diffusion-weighted imaging techniques, can improve image quality while reflecting tissue diffusion and perfusion information, providing more physiological and pathological information of breast tumor tissue.
出处 《临床医学进展》 2022年第6期5001-5006,共6页 Advances in Clinical Medicine
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