Dynamic Thorax Phantom CIRS 008A
Compatible with TLD, MOSFET, Dose Gel, micro-chamber, PET/CT targets and film
True 3D motion in a solid epoxy phantom Model

The CIRS Dynamic Thorax Phantom is a precision instrument for investigating and minimizing the impact of tumor motion inside the lung. It provides known, accurate and repeatable three-dimensional target motion inside a tissue equivalent phantom. It is designed for comprehensive analysis of image acquisition, planning and dose delivery in image-guided radiation therapy.

The phantom body represents an average human thorax in shape, proportion and composition. A lung equivalent rod containing a spherical target and or various detectors is inserted into the lung equivalent lobe of the phantom. The body is connected to a motion actuator box that induces three-dimensional target motion through linear translation and rotation of the lung equivalent rod. Motion of the rod itself is radiographically invisible due to its matching density with the surrounding material. The target and its motion, given its density difference, can be resolved.

Target and surrogate motion are independently controlled with CIRS Motion Control Software. The graphical user interface provides an unlimited variety of motions while simplifying the operation of the Dynamic Thorax Phantom to an intuitive level. Patient specific profiles are easily imported and there is no need to make hardware adjustments or have special programming skills.


Dynamic Thorax Phantom CIRS 008A Specifications and Graph

Dynamic Thorax Phantom CIRS 008A Specifications and Graph

Dynamic Thorax Phantom CIRS 008A Specifications and Graph

Overall Dimensions 67 cm x 32 cm x 28 cm (26" x 13" x 11")
Overall Weight 17.2 kg (46 lb)
Power 110-250 VAC, 50/60 Hz
Amplitude, IS ± 25 mm
Amplitude, AP/LR ± 10 mm
Amplitude, Surrogate ± 25 mm
Max. Surrogate Platform Load 5.4 kg (12 lb)
Motion Accuracy ± 0.1 mm
Cycle Time 1 - ∞ (adjusted based on amplitude)
Waveforms sin(t), 1-2cos^4(t), 1-2cos^6(t), sawtooth, sharkfin
CIRS Motion Control Software System Requirements
  • Windows XP® / Vista / Windows 7 (32 Bit Versions only)
  • Pentium 3® or equivalent
  • 512 MB RAM
  • 2 MB of available disk space

Publication References Turner K, Cai J, Yin F, Zhang Y, et al. SU-E-J-209 A Simple Method to Minimize Uncertainty in ITV Delineation: Phantom Verification. AAPM 2012 Poster.

Boda-Heggemann J, Fleckenstein J, Lohr F, et al. Multiple Breath-Hold Cbct for Online Image Guided Radiotherapy of Lung Tumors: Simulation with a Dynamic Phantom and First Patient Data." Radiotherapy and Oncology. 2011; 98(3):309-316.

Masset H, Dumas JL, Gschwind R, Gavignet E, Makovicka L, Bosset JF. [Dosimetric impact of the 2D motion of a platform simulating breathing during a dynamic mode treatment]. Cancer Radiother. 2009; 13(2):108-13.

Park S-J, Ionascu D, Killoran J, et al. Evaluation of the combined effects of target size, respiratory motion and background activity on 3D and 4D PET/CT images. Physics in Medicine and Biology. 2008; 53(13):3661-3679.

Sakhalkar HS, Oldham M. Fast, high-resolution 3D dosimetry utilizing a novel optical-CT scanner incorporating tertiary telecentric collimation. Medical Physics. 2008; 35(1).

Munoz C, Hevezi J, Mira J. Evaluation of Positional Accuracy in Moving Tumors Using a CIRS Dynamic Phantom. Poster presented at Cyberknife User's Meeting, 2007.

Tanyi JA, Fuss M, Varchena V, Lancaster JL, Salter BJ. Phantom investigation of 3D motion-dependent volume aliasing during CT simulation for radiation therapy planning. Radiation Oncology. 2007; 2.

Wang Z, Wu QJ, Marks LB, Larrier N, Yin F-F. Cone-Beam CT Localization of Internal Target Volumes for Stereotactic Body Radiotherapy of Lung Lesions. International Journal of Radiation OncologyBiologyPhysics. 2007; 69(5):1618-1624.

Munoz C. Method to Validate the Dosimetric Accuracy of Synchrony Using a CIRS Dynamic Phantom. Powerpoint presented at Cyberknife User's Meeting.

Chuang C, Verhey L, MA L. SU-FF-T-429: The Use of a New Dynamic Motion Phantom for Patient Specific QA in Tracking Therapy. Medical Physics. 2006; 33(6).

Keall PJ, Mageras GS, Balter JM, et al. The management of respiratory motion in radiation oncology report of AAPM Task Group 76. Medical Physics. 2006; 33(10).

Tanyi, JA, et al. Phantom Investigation of Three-Dimensional Motion Dependent Volume Aliasing During CT Simulation for Radiation Therapy Planning. Poster presented at annual AAPM meeting, Orlando FL, 2006.

Tanyi, JA. Phantom Investigation of Three-Dimensional, Motion-Induced Dose Discrepancy During Intensity Modulated Radiation Therapy Dose Delivery. Poster presented at annual AAPM meeting, Orlando FL, 2006.

Wang Z, Yin F, Yoo S, et al. SU-EE-A1-04: Verifying Internal Target Volume Using Cone-Beam CT for Stereotactic Body Radiotherapy Treatment. Medical Physics. 2006; 33(6).

Varchena V, Tanyi J, Salter B. 70 A novel Dynamic Thorax phantom for 3D-CRT and IMRT of lung lesions. Radiotherapy and Oncology. 2005; 76:S42-S43.

Tanyi JA, Rassiah P, Cheng C, et al. Dosimetric Evaluation of Target Dose in Stereotactic Body Radiation Therapy (SBRT) of Lung Lesions Using a Dynamic Motion Anthropomorphic Phantom. 2004.

Chan MK, Kwong DL, Ng SC, Tong AS, Tam EK. Accuracy and sensitivity of four-dimensional dose calculation to systematic motion variability in stereotatic body radiotherapy (SBRT) for lung cancer. J Appl Clin Med Phys. 2012;13(6):3992.

Gao H, Li R, Lin Y, Xing L. 4D cone beam CT via spatiotemporal tensor framelet. Med Phys. 2012;39(11):6943-6.

Choi K, Xing L, Koong A, Li R. First study of on-treatment volumetric imaging during respiratory gated VMAT. Med Phys. 2013;40(4):040701.

Ionascu D, Park S, Killoran J, et al. SU-FF-I-100: Experimental Evaluation of Motion Effects by Integration of the 4DCT/4DPET Hybrid GE Discovery VCT Scanner with the CIRS Dynamic Lung Phantom. Med. Phys. 2007;34(6):2361.

Ionascu D, Tyagi N, Yang K. WE-E-BRB-04: VMAT Dynamic QA for Moving Lung Tumors. Med. Phys. 2011;38(6):3816.

Vergalasova I, Maurer J, Yin FF. Potential underestimation of the internal target volume (ITV) from free-breathing CBCT. Med Phys. 2011;38(8):4689-99.

Chamberland M, Wassenaar R, Spencer B, Xu T. Performance evaluation of real-time motion tracking using positron emission fiducial markers. Med Phys. 2011;38(2):810-9.

Zhuang L, Yan D, Liang J, et al. Evaluation of image guided motion management methods in lung cancer radiotherapy. Med Phys. 2014;41(3):031911.
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