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- FDK算法FDK algorithm
- 該算法將單圓源軌掃描獲得的投影通過(guò)FDK算法進(jìn)行重建，將補全的缺失數據通過(guò)基于Grangeat公式精確重建算法重建，最后將兩部分重建結果進(jìn)行疊加得到最終的結果。The first sub-result is calculated by applying the FDK algorithm to the projection data acquired by a single circular orbit scan, the second sub-result is a correction received by applying SVFBP algorithm to the missing Radon data acquired by extrapolation, the final result is the sum of the two sub-results.
- 數據仿真實(shí)驗結果表明 ,該算法在保持與傳統FDK算法有相同的計算復雜度的同時(shí) ,重建圖像的質(zhì)量有了明顯的提高 ,可以確保在較大的錐角范圍內獲得滿(mǎn)意的重建圖像 .Then,the rebinned oblique parallel projection data are pre-weighting filtered. Finally,the filtered projection data are backprojected to the final 3-D reconstructed image data. Theory and experimental results show that the algorithm has the same computational complexity as traditional FDK algorithm while the image quality can be improved in the reconstruction.
- 目前錐束CT普遍采用FDK算法，該算法基于單圓源軌，在小錐角下取得較好的重建效果。FDK method is the most common kind of 3D image reconstruction algorithm in cone beam CT at present, which is based on a scanning circle and reconstructs images satisfactorily in the small cone angle case.
- FDK重建算法FDK reconstruction algorithm
- 算法設計algorithm design
- 算法設計與分析The Design and Analysis of Algorithm
- 分析表明,其水平方向的有效掃描視野比基于FDK的圓軌道錐束掃描三維CT提高了80%以上。Anlysis shows that the scan field of view along the horizon can be improved no less than 80%25 compared with cone-beam 3D-CT based on FDK and circular orbit scan mode.
- 控制算法control algorithm
- 聚類(lèi)算法clustering algorithm
- 啟發(fā)式算法heuristic algorithm
- 迭代算法iterative algorithm
- 最優(yōu)控制算法algorithm for optimal control
- 漸縮算法knapsack algorithm
- 調度算法scheduling algorithm
- 基于轉角增量關(guān)系的FDK錐束重建改進(jìn)算法Modified FDK cone-beam reconstruction algorithm based on relationship of rotation angle increment
- Ｋ－Ｐ算法K-P calculation
- ＫＫＲ算法KKR calculation
- 逼近算法approximate algorithm
