A Movable Phantom Design for Quantitative Evaluation of Motion Correction Studies on High Resolution PET Scanners

Head movements during brain imaging using high resolution positron emission tomography (PET) impair the image quality which, along with the improvement of the spatial resolution of PET scanners, in general, raises the importance of motion correction. Here, we present a new design for an automatic, movable, mechanical PET phantom to simulate patients' head movements while being scanned. This can be used for evaluating motion correction methods. A low-cost phantom controlled by a rotary stage motor was built and tested for axial rotations of 1°-10° with the multiple acquisition frame method. The phantom is able to perform stepwise and continuous axial rotations with submillimeter accuracy, and the movements are repeatable. The scans were acquired on the high resolution research tomograph dedicated brain scanner. The scans were reconstructed with the new 3-D ordered subset expectation maximization algorithm with modeling of the point spread function (3DOSEM-PSF), and they were corrected for motions based on external tracking information using the Polaris Vicra real-time stereo motion-tracking system. The new automatic, movable phantom has a robust design and is a potential quality assessment tool for the development and evaluation of future motion correction methods.

[1]  Andrew J. Reader,et al.  Impact of Image-Space Resolution Modeling for Studies with the High-Resolution Research Tomograph , 2008, Journal of Nuclear Medicine.

[2]  N Raghunath,et al.  Motion correction of PET brain images through deconvolution: II. Practical implementation and algorithm optimization , 2009, Physics in medicine and biology.

[3]  Kris Thielemans,et al.  Correction of head movement on PET studies: comparison of methods. , 2006, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[4]  N Raghunath,et al.  Motion correction of PET brain images through deconvolution: I. Theoretical development and analysis in software simulations , 2009, Physics in medicine and biology.

[5]  Dean F. Wong,et al.  Accurate Event-Driven Motion Compensation in High-Resolution PET Incorporating Scattered and Random Events , 2008, IEEE Transactions on Medical Imaging.

[6]  Olaf B. Paulson,et al.  MR-based automatic delineation of volumes of interest in human brain PET images using probability maps , 2005, NeuroImage.

[7]  A. Rahmim,et al.  System Matrix Modeling of Externally Tracked Motion , 2006, 2006 IEEE Nuclear Science Symposium Conference Record.

[8]  G Malandain,et al.  Model-based respiratory motion compensation for emission tomography image reconstruction , 2007, Physics in medicine and biology.

[9]  Y. Picard,et al.  Motion correction of PET images using multiple acquisition frames , 1995, 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record.

[10]  T. Zeffiro,et al.  Head movement in normal subjects during simulated PET brain imaging with and without head restraint. , 1994, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[11]  H. Iida,et al.  Sinogram-based motion correction of PET images using optical motion tracking system and list-mode data acquisition , 2002, 2002 IEEE Nuclear Science Symposium Conference Record.

[12]  Urs E. Ruttimann,et al.  Head motion during positron emission tomography: is it significant? , 1995, Psychiatry Research: Neuroimaging.

[13]  M. S. Atkins,et al.  Compensation methods for head motion detected during PET imaging , 1996 .

[14]  Roger Fulton,et al.  Correction for head movements in positron emission tomography using an optical motion tracking system , 2000 .

[15]  H. Herzog,et al.  Motion correction in PET brain studies , 2005, The Fourth International Workshop on Multidimensional Systems, 2005. NDS 2005..

[16]  C. Comtat,et al.  Image based resolution modeling for the HRRT OSEM reconstructions software , 2008, 2008 IEEE Nuclear Science Symposium Conference Record.

[17]  Uwe Just,et al.  An accurate method for correction of head movement in PET , 2004, IEEE Transactions on Medical Imaging.

[18]  Roger Fulton,et al.  The design and implementation of a motion correction scheme for neurological PET. , 2003, Physics in medicine and biology.

[19]  M. Sibomana,et al.  Spatial resolution of the HRRT PET scanner using 3D-OSEM PSF reconstruction , 2009, 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC).

[20]  Jeih-San Liow,et al.  Design of a motion-compensation OSEM list-mode algorithm for resolution-recovery reconstruction for the HRRT , 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).

[21]  Klaus Wienhard,et al.  The ECAT HRRT: performance and first clinical application of the new high resolution research tomograph , 2000 .

[22]  S. Blinder,et al.  Investigation of Subject Motion Encountered During a Typical Positron Emission Tomography Scan , 2006, 2006 IEEE Nuclear Science Symposium Conference Record.