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首页> 外文期刊>Internal medicine journal >Combining anatomy and function: the future of medical imaging.
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Combining anatomy and function: the future of medical imaging.

机译：结合解剖学和功能：医学成像的未来。

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Functional imaging, such as the nuclear medicine techniques of positron emission tomography (PET) and single photon emission computed tomography (SPECT), has a unique ability to detect many diseases at an earlier stage than structural imaging procedures such as computed tomography (CT) or magnetic resonance imaging (MRI) through their in vivo measurements of biochemical processes. However, functional images usually exhibit poorer spatial resolution and localisation than radiological images and benefit greatly from having colocalised anatomical images available during interpretation. In recent years, the complementary nature of functional and structural imaging techniques has been increasingly recognised, particularly for accurate cancer staging, and efforts have been made to combine the information from different modalities.Until recently, the only option for imaging specialists has been to visually compare different images placed side by side (so called 'visual fusion');1 however, the accuracy of suchan approach is, in many cases, limited. 'Software fusion' of SPECT or PET images with CT or MRI (i.e. post-hoc combination of the 3D image data using sophisticated shape-matching algorithms),2 has been developed since the early 1990s, but the accuracy is limited because of the 'deformable' and flexible nature of much of the body, frequently making realignment of the organs and structures across different imaging examinations challenging.
机译：功能成像（例如正电子发射断层扫描（PET）和单光子发射计算机断层扫描（SPECT）的核医学技术）具有比结构成像程序（例如计算机断层扫描（CT）或CT成像）或早期成像更早的疾病检测能力。磁共振成像（MRI）通过体内生化过程测量。然而，功能图像通常比放射学图像表现出较差的空间分辨率和定位，并且由于在解释过程中可获得可共定位的解剖图像而大大受益。近年来，功能性和结构性成像技术的互补性已得到越来越多的认可，尤其是对于准确的癌症分期，并且已努力将来自不同方式的信息进行组合。直到最近，成像专家的唯一选择是目视观察比较并排放置的不同图像（所谓的“视觉融合”）; 1但是，这种方法的准确性在很多情况下是有限的。 SPECT或PET图像与CT或MRI的“软件融合”（即使用复杂的形状匹配算法对3D图像数据进行事后组合）2自1990年代初以来就已经发展起来，但是由于“身体大部分区域具有“变形”性和柔韧性，经常使不同成像检查中的器官和结构重新排列具有挑战性。

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