成像体模
锥束ct
锥束ct
图像质量
重建算法
迭代重建
算法
计算机科学
探测器
影像引导放射治疗
核医学
计算机视觉
人工智能
计算机断层摄影术
医学
医学影像学
图像(数学)
放射科
电信
作者
Shinichiro Mori,Masahiro Endo,Shuhei Komatsu,Susumu Kandatsu,Tomoyasu Yashiro,Masayuki Baba
标识
DOI:10.1088/0031-9155/51/16/005
摘要
The combination-weighted Feldkamp algorithm (CW-FDK) was developed and tested in a phantom in order to reduce cone-beam artefacts and enhance cranio-caudal reconstruction coverage in an attempt to improve image quality when utilizing cone-beam computed tomography (CBCT). Using a 256-slice cone-beam CT (256CBCT), image quality (CT-number uniformity and geometrical accuracy) was quantitatively evaluated in phantom and clinical studies, and the results were compared to those obtained with the original Feldkamp algorithm. A clinical study was done in lung cancer patients under breath holding and free breathing. Image quality for the original Feldkamp algorithm is degraded at the edge of the scan region due to the missing volume, commensurate with the cranio-caudal distance between the reconstruction and central planes. The CW-FDK extended the reconstruction coverage to equal the scan coverage and improved reconstruction accuracy, unaffected by the cranio-caudal distance. The extended reconstruction coverage with good image quality provided by the CW-FDK will be clinically investigated for improving diagnostic and radiotherapy applications. In addition, this algorithm can also be adapted for use in relatively wide cone-angle CBCT such as with a flat-panel detector CBCT.
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