三维运动模体的4DCBCT与4DCT图像配准

doi:10.3760/cma.j.issn.1004-4221.2015.05.027

Abstract
Figure/Table
References()
Related Citation (15)
Read Tracking
Download Tracking

Download: PDF (527 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS) Supporting Info

Abstract Objective To evaluate the image quality and registration accuracy of a three-dimensional (3D) dynamic phantom in four-dimensional computed tomography (4DCT) and four-dimensional cone-beam computed tomography (4DCBCT). Methods The Computerized Imaging Reference Systems Dynamic Thorax Phantom Model 008A was scanned to get 4DCT and 4DCBCT images. Two balls with different diameters (= 1 cm and = 2 cm) were used to simulate tumors with different sizes. The motion mode of the balls was 3D sinusoidal motion at 0.25 Hz (the amplitudes along the x, y, and z axes were ±1.0 cm, ±0.4 cm, and ±0.2 cm, respectively). Gross target volumes (GTVs) from 10-phase bins, internal gross target volumes (IGTV), and target volumes on maximum intensity projection (MIP) and mean intensity projection (MeanIP) images were contoured and calculated. Target volumes on 4DCT or 4DCBCT images were compared with the static and dynamic volumes of the balls (V_S and V_D). The matching index (MI) of target volumes between the 4DCT and 4DCBCT images was analyzed after rigid image registration. Results The GTV in each phase of the image was larger than V_S. The difference between the average GTV derived from 10 phases of 4DCT or 4DCBCT images and Vs of the small ball was larger than that of the large ball (35.03% vs. 22.66%;32.62% vs. 17.00%). All the IGTVs and target volumes on MIP images were slightly larger than V_D, but target volumes on MeanIP images were smaller than V_D. The average MI of 10-phase bins of the small ball was smaller than that of the large ball (66.76% vs. 82.21%). Moreover, MIs of IGTV,MIP, and MeanIP of the small ball were also smaller than those of the large ball (77.39% vs. 90.29%;75.90% vs. 89.28%;74.47% vs. 82.74%). Conclusions In the case of a relatively small tumor volume and a relatively large motion amplitude, 4DCT and 4DCBCT should be used with caution for comparison of image registration.

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Su Chen
	Bai Sen
	Li Guangjun
	Zhang Yingjie
	Zhong Renming
	Xu Feng
	Li Yanlong
	Wang Xuetao

Key words： Tomography,X-ray computed Tomography,X-ray computed,cone-beam Imaging registration Phantom

Cite this article:

Su Chen,Bai Sen,Li Guangjun et al. Image registration of a three-dimensional dynamic phantom in four-dimensional cone-beam computed tomography and four-dimensional computed tomography[J]. Chinese Journal of Radiation Oncology, 2015, 24(5): 581-584.

URL:

http://journal12.magtechjournal.com/Jweb_fszlx/EN/10.3760/cma.j.issn.1004-4221.2015.05.027 OR http://journal12.magtechjournal.com/Jweb_fszlx/EN/Y2015/V24/I5/581

[1] 孙宗文,陈明,邓小武.4DCT在肺癌个体化放疗中的应用[A]//中华医学会放射肿瘤治疗学分会.第六届全国放射肿瘤学学术年会论文集第二届中国现代医学研究方法暨学科交叉创新研讨会[C],济南,2007.北京:中华医学会放射肿瘤治疗学分会,2007:88.
[2] Vergalasova I,Maurer J,Yin FF.Potential underestimation of the internal target volume (ITV) from free-breathing CBCT[J].Med Phys,2011,38(8):4689-4699. DOI:10.1118/1.4794497.
[3] Sonke JJ,Zijp L,Remeijer P,et al. Respiratory correlated cone beam CT[J].Med Phys,2005,32(4):1176-1186.DOI:10.1118/1.1869074.
[4] Van Herk M,Sonke JJ,Zijp L,et al. On-line cone beam CT reconstruction:US,8331526[P].2012-12-11.
[5] Rit S,Wolthaus J,van Herk M,et al. On-the-fly motion-compensated cone-beam CT using an a priori model of the respiratory motion[J].Med Phys,2009,36(6):2283-2296.DOI:10.1118/1.3115691.
[6] Ezhil M,Vedam S,Balter P,et al. Determination of patient-specific internal gross tumor volumes for lung cancer using four-dimensional computed tomography[J].Radiat Oncol,2009,4(1):1-14.DOI:10.1186/1748-717X-4-4.
[7] Rietzel E,Pan T,Chen G.Four-dimensional computed tomography:image formation and clinical protocol[J].Med Phys,2005,32(4):874-889.DOI:10.1118/1.1869852.
[8] Keall PJ,Starkschall G,Shukla H,et al. Acquiring 4D thoracic CT scans using a multislice helical method[J].Phys Med Biol,2004,49(10):2053-2067.DOI:10.1088/0031-9155/49/10/015.
[9] Sonke J,Rossi M,Wolthaus J,et al. Frameless stereotactic body radiotherapy for lung cancer using four-dimensional cone beam CT guidance[J].Int J Radiat Oncol Biol Phys,2009,74(2):567-574.DOI:10.1016/j.ijrobp.2008.08.004.
[10] Yan H,Wang X,Yin W,et al. Extracting respiratory signals from thoracic cone beam CT projections[J].Phys Med Biol,2013,58(5):1447-1464.DOI:10.1088/0031-9155/58/5/1447.
[11] Ding C,Huang L,Papiez L,et al. Tumor alignment between 4DCT and 4D cone beam CT for irregular respiratory patient-a phantom study[A]//Dssel, Olaf, Schlegel, Wolfgang C.World congress on medical physics and biomedical engineering[C],Munich:2009.Munich:Springer Berlin Heidelberg,2009:515-518.
[12] Pollock S,Lee D,Keall P,et al. Audiovisual biofeedback improves motion prediction accuracy[J].Med Phys,2013,40(4):170501-170509.DOI:10.1118/1.4794497.