Evaluation of the effect of respiratory and anatomical variables on a Fourier technique for markerless, self-sorted 4D-CBCT.

Evaluation of the effect of respiratory and anatomical variables on a Fourier technique for markerless, self-sorted 4D-CBCT.
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DOI:
10.1088/0031-9155/58/20/7239
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发表时间:
2013-10-21
影响因子:
3.5
通讯作者:
Yin FF
Yin FF
中科院分区:
工程技术2区
文献类型:
--
作者:
Vergalasova I;Cai J;Giles W;Segars WP;Yin FF

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基于傅立叶变换理论的一种新技术已经被开发出来,该技术直接从投影中提取呼吸信息,而不使用外部代理。虽然已经用三名患者证明了可行性,但还需要进行更广泛的验证。因此,本工作的目的是研究各种呼吸和解剖场景对4D数字扩展型心脏躯干体模技术性能的影响。FT-相位和FT-幅度方法分别用于识别吸气峰投影,并与视觉识别的金标准进行定量比较。这两种方法被证明是强大的,在整个研究的情况下,平均差异呼吸相位<10% and percentage of projections assigned within 10% of the gold standard >90%,当合并小的修改,以区域的兴趣选择和/或低频位置的选择情况下,横膈膜振幅和肺的百分比在该领域的投影。尽管如此,在一种方法最初不稳定的情况下,另一种方法占了上风,并成功地识别了吸气峰投影。这是有希望的,因为它表明这两种方法提供了互补的信息。为了确保无标记、自分选4D-CBCT的适当临床适应性,也许可以开发两种方法的最佳整合。
A novel technique based on Fourier Transform theory has been developed that directly extracts respiratory information from projections without the use of external surrogates. While the feasibility has been demonstrated with three patients, a more extensive validation is necessary. Therefore, the purpose of this work is to investigate the effects of a variety of respiratory and anatomical scenarios on the performance of the technique with the 4D Digital Extended Cardiac Torso phantom. FT-Phase and FT-Magnitude methods were each applied to identify peak-inspiration projections and quantitatively compared to the gold standard of visual identification. Both methods proved to be robust across the studied scenarios with average differences in respiratory phase<10% and percentage of projections assigned within 10% of the gold standard >90%, when incorporating minor modifications to region-of-interest selection and/or low-frequency location for select cases of diaphragm amplitude and lung percentage in the field-of-view of the projection. Nevertheless, in the instance where one method initially faltered, the other method prevailed and successfully identified peak-inspiration projections. This is promising because it suggests that the two methods provide complementary information to each other. To ensure appropriate clinical adaptation of markerless, self-sorted 4D-CBCT, perhaps an optimal integration of the two methods can be developed.
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