Investigation of respiratory motion gating with geometric sensitivity in Allegro PET

Respiratory motion artifacts can be a significant factor that limits the PET image quality. To improve image quality, surveillance systems have been developed to track the movements of the subject during scanning. Gating techniques utilizing the tracking information, are able to compensate for subject motion, thereby improving lesion detection. In this paper, we present a gating method that utilizes the geometric sensitivity gating (GSG) of a 3D-PET scanner system operating in list event acquisition mode. The count rate from a given organ, as a result of the geometric sensitivity, will depend on the axial location of the organ. As a result the respiratory phase can be determined from count rate changes which are determined to suitable temporal resolution from the list-mode data stream. GSG method has several advantages over the existing methods; it only uses LOR events and is non-invasive, no additional hardware device systems are required and there is no additional patient preparation required. Using GATE (GEANT4 Application Tomographic Emission) and NCAT (NURBs(Non Uniform Rational B-Splines) Cardiac Torso) software packages with a configuration simulating a Philips Allegro PET system, realistic simulations of respiratory motion demonstrate that GSG can be used for respiratory gating. Clinical data have been acquired and also demonstrate that GSG is able to reduce respiratory motion artifact.

[1]  M. V. van Herk,et al.  Respiratory correlated cone beam CT. , 2005, Medical physics.

[2]  Dale L Bailey,et al.  Externally triggered gating of nuclear medicine acquisitions: a useful method for partitioning data , 2005, Physics in medicine and biology.

[3]  C Lartizien,et al.  GATE: a simulation toolkit for PET and SPECT. , 2004, Physics in medicine and biology.

[4]  P.H. Pretorius,et al.  Correction of the respiratory motion of the heart by tracking of the center of mass of thresholded projections: a simulation study using the dynamic MCAT phantom , 2001, 2001 IEEE Nuclear Science Symposium Conference Record (Cat. No.01CH37310).

[5]  R. Huesman,et al.  Fine-scale motion detection using intrinsic list mode PET information , 2001, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001).

[6]  E. Potchen,et al.  Assessment of hepatic respiratory excursion. , 1972, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[7]  K. Langen,et al.  Organ motion and its management. , 2001, International journal of radiation oncology, biology, physics.

[8]  A J Reader,et al.  Respiratory motion correction for PET oncology applications using affine transformation of list mode data , 2007, Physics in medicine and biology.

[9]  M Alber,et al.  An algorithm for automatic determination of the respiratory phases in four-dimensional computed tomography. , 2006, Physics in medicine and biology.

[10]  C. Ling,et al.  Effect of respiratory gating on reducing lung motion artifacts in PET imaging of lung cancer. , 2002, Medical physics.

[11]  Moshi Geso,et al.  The Application of GATE and NCAT to Respiratory Motion Simulation in Allegro PET , 2006, 2006 IEEE Nuclear Science Symposium Conference Record.

[12]  A Ferraz,et al.  Autonomous thyroid nodules. I. A clinical classification and the use of a diagnostic index. , 1972, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[13]  Paul Kinahan,et al.  Attenuation correction for a combined 3D PET/CT scanner. , 1998, Medical physics.

[14]  John B. West,et al.  Respiratory Physiology - the Essentials , 1979 .

[15]  Yuji Nakamoto,et al.  Clinically significant inaccurate localization of lesions with PET/CT: frequency in 300 patients. , 2003, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[16]  Suleman Surti,et al.  Imaging characteristics of a 3-dimensional GSO whole-body PET camera. , 2004, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[17]  C. L. Le Rest,et al.  Validation of a Monte Carlo simulation of the Philips Allegro/GEMINI PET systems using GATE , 2006, Physics in medicine and biology.

[18]  G J Kutcher,et al.  Deep inspiration breath-hold technique for lung tumors: the potential value of target immobilization and reduced lung density in dose escalation. , 1999, International journal of radiation oncology, biology, physics.

[19]  William Paul Segars,et al.  Development of a new dynamic NURBS-based cardiac-torso (NCAT) phantom , 2001 .

[20]  M. V. van Herk,et al.  Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. , 2002, International journal of radiation oncology, biology, physics.