Currently in our clinic, a mega-voltage cone beam computed tomography (MVCBCT) scan is performed before each treatment for patient localizati on. For nonsmall cell lung cancer (NSCLC) patients, a strain gauge is used as an ex ternal surrogate to indicate tumor motion in both the planning stage and the treatment stage. However, it is likely that the amplitude of tumor motion varies between treatment fracti ons without a corresponding change in the surrogate signal. Motion amplitude larger than what was planned may underdose the tumor and overexpose normal tissues. The overall objective of this project is to extend the capabilities of MVCBCT f or respiratory motion management by taking advantage of 2D projection images. Fir st, a new method was developed to detect ipsi-lateral hemi-diaphragm apex (IHDA ) motion along superior-inferior (SI) direction in 3D. Then a respiratory correlated r econstruction method was implemented and verified. This method is able to create MVCBCT volume in the full exhale (FE) and the full inhale (FI) phases, respectively. The diap hragm to tumor motion ratio (DTMR) was derived by quantifying the absolute position of the tumor and IHDA in these two volumes. The DTMR and the extracted IHDA motion were further used to calibrate the strain gauge signal. Second, an organ motion detection approach was developed, in which the detection is converted into an optimal interrelated surface detection problem. The framework was first applied to tumor motion extraction, which enables accurate detection for large tumors (with a diameter not smaller than 1.9cm). The framework w as then applied to lung motion extraction and the extracted lung motion model was used to create a series of displacement vector fields for a motion compensated (MC) recons t u tion. The accuracy of both tumor extraction and the MC approach was validated, which shows their clinical feasibility.
[1]
Hao Jiang,et al.
Low-dose megavoltage cone-beam CT imaging using thick, segmented scintillators
,
2011,
Physics in medicine and biology.
[2]
Steve B. Jiang,et al.
Residual motion of lung tumours in gated radiotherapy with external respiratory surrogates
,
2005,
Physics in medicine and biology.
[3]
P. Munro,et al.
Low-dose megavoltage cone-beam computed tomography for lung tumors using a high-efficiency image receptor.
,
2006,
Medical physics.
[4]
Jean-Philippe Pignol,et al.
Correlation of lung tumor motion with external surrogate indicators of respiration.
,
2004,
International journal of radiation oncology, biology, physics.
[5]
Qian Wang,et al.
Segmentation of lung nodules in computed tomography images using dynamic programming and multidirection fusion techniques.
,
2009,
Academic radiology.
[6]
Steve B. Jiang,et al.
Residual motion of lung tumors in end-of-inhale respiratory gated radiotherapy based on external surrogates.
,
2006,
Medical physics.
[7]
R Mohan,et al.
Is the diaphragm motion probability density function normally distributed?
,
2005,
Medical physics.
[8]
Seiichiro Kagei,et al.
Paradoxical Motion of the Hemidiaphragm In Patients With Emphysema
,
2000,
Journal of thoracic imaging.