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Rawdata-Based Dual Energy CT (DECT) from Inconsistent Scans

机译：基于Rawdata的双能量CT（DECT）来自不一致的扫描

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Dual Energy CT (DECT) acquires an object at two different detected spectra w{sub}1 (E) and w{sub}2 (E). Rawdata-based techniques can be applied whenever the integration lines (rays) of both spectra are identical. Then, the rawdata q{sub}1 and q{sub}2 undergo a decomposition process of type p = p(q{sub}1, q{sub}2). For spiral cone-beam dual source CT (DSCT) and for micro-DSCT the integration lines are disjunct and therefore inconsistent. Hence, one typically uses image-based subtraction techniques that are inferior to the rawdata-based methods. Our technique provides consistent rawdata in two steps. Starting from standard reconstructions of both scans, polychromatic forward projections of the volumes 1 and 2 yield the desired consistent rawdata q{sub}1 and q{sub}2. The second step computes the decomposition p(q{sub}1, q{sub}2) and reconstructs these sinograms using filtered backprojection. All computations are done in parallel beam geometry. To avoid loosing spatial resolution the linear terms of p are handled in image domain. Only the higher order terms undergo the two-step process. The algorithm was run on a Cell Broadband Engine (CBE) at 3.2 GHz in a Playstation 3 (PS3) computer (Sony Computer Entertainment, Japan). To evaluate our approach we decompose patient rawdata acquired with a SOMATOM Definition clinical DSCT scanner (Siemens Medical Solutionsm, Forchheim, Germany). The PS3 processes 35 slices per second (512{sup}2 pixels, 512 views per half rotation, two forward projections, decomposition, filtering, one backprojection); a typical volume of thousand slices is processed in half a minute.
机译：双能量CT（DECT）在两个不同检测到的光谱W {SUB} 1（e）和W {SUB} 2（e）处获取对象。只要两个光谱的集成线（光线）相同，就可以应用基于RawData的技术。然后，Rawdata Q {sub} 1和q {sub} 2经历p = p（q {sub} 1，q {sub} 2）的分解过程。对于螺旋锥形光束双源CT（DSCT）和微DSCT，集成线分离并因此不一致。因此，人们通常使用基于图像的减法技术，其差不多到基于RawData的方法。我们的技术分两步提供一致的Rawdata。从两种扫描的标准重建开始，体积1和2的多色向前投影产生所需的一致Rawdata Q {Sub} 1和Q {Sub} 2。第二步骤计算分解P（Q {Sub} 1，Q {Sub} 2），并使用过滤的反调重建这些铭文。所有计算都在并行波束几何中完成。为避免丢失空间分辨率，请在图像域中处理p的线性术语。只有高阶项才会经历两步过程。该算法在PlayStation 3（PS3）计算机（索尼计算机娱乐，日本）的3.2 GHz的小区宽带引擎（CBE）上运行。为了评估我们的方法，我们将患者Rawdata分解为使用SOMatom定义临床DSCT扫描仪（西门子医疗解决方案，德国）的SOMATOM定义临床DSCT扫描仪。 PS3每秒处理35片（512 {SUP} 2像素，每半旋转512次，两向前投影，分解，过滤，一个反调）;典型的千片切片在半分钟内加工。

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