- 期刊
The Analysis of Confounding Factors in Volume Reconstruction of 3DCRT with Spiral Mode CT Simulation
並列摘要
This study analyzed the difference in reconstructing volume by using phantom model between various settings of axial-mode and spiral-mode computed tomography (CT) simulator for three-dimensional conformal radiotherapy. Three phantom balls with different diameters (5.1, 9.9, 12.2 cm) were scanned by a single-row detector CT simulator. The volumes of all phantom balls were reconstructed in the same system. The exactly calculated phantom ball volumes were the baselines as compared to the volumes by the conventional axial-mode CT reconstruction. The reconstructed volumes from the axial scanning mode were compared with the corresponding settings of the spiral scanning mode in CT simulation, with four different Hounsfield (HU) thresholds, three different pitches (1, 1.5 and 2), and four different slice widths (1, 2, 3 and 5 mm). The reconstructed volumes were less than the exactly calculated volumes in all phantom balls using the conventional axial-mode CT simulation. Larger slice width and HU threshold were associated with larger difference between the exactly calculated volumes and reconstructed volumes in axial CT mode. For the small phantom ball at slice width of no more than 3 mm, there were less than 5% of volume losses compared with axial-mode CT settings. The lowest HU threshold and slice width of less than 5 mm were needed to maintain volume loss of less than 5% in medium and large balls. As compared to axial-mode scanning, spiral-mode scanning offered volume reconstruction loss of less than 5% at almost all settings. The exceptions existed in the small phantom ball with slice width of 5 mm, spiral pitch of 1.5 and 2 at 50 HU, and slice width of 5 mm, spiral pitch of 2 at 0 HU. Slice interval, spiral scanning pitch and HU threshold were the factors with impact on the accurate estimation of volume reconstruction by spiral CT simulator. Spiral CT mode was feasible in most scanning settings, with acceptable volume reconstruction accuracy threshold of more than 95%.
延伸閱讀
- 宋國強、李財福、廖宗義、阮國榮、方富民、陳文平（2012）。The Analysis of Confounding Factors in Volume Reconstruction with Spiral Mode CT Simulation in Different Treatment Planning System。中華放射線技術學雜誌，36(1)，9-14。https://doi.org/10.30045/CJRT.201203.0002
- Wang, Y. W., & Chen, C. J. (2010). An Efficient Segmentation Framework for Continuous CT Images. 影像處理暨通訊期刊, 2(1), 31-34. https://doi.org/10.30172/JIPC.201012.0006
- 郭志嘉（2002）。Defect detection in inhomogeneous textures using 3D Fourier reconstruction〔碩士論文，元智大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0009-0112200611302282
- 陳品赫（2017）。Evaluation the Image Quality of Chest CT Examination by Using Objective Analysis with Hybrid Iterative Reconstruction〔碩士論文，中臺科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0099-3004201811105518
- 林瑋哲（2014）。Instrument Contact Force Estimation Using a 3D Reconstruction Model〔碩士論文，國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2014.00925