Correction of head movements in positron emission tomography using point source tracking system: a simulation study

Nazarparvar, B.; Shamsaei, Mojtaba; Rajabi, Hamid

doi:10.1007/s12149-011-0532-9

Cited by 9 publications

(6 citation statements)

References 24 publications

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“…13 No matter the source providing information on patient movement, motion tracking data must also be accurately synchronized with projection data acquisition, and proper calibration is needed to convert tracker coordinates to image coordinates. 28 In the present study, no direct measurements to test the data synchronization of the motion artefact-correction system was performed. On the other hand, an image quality and interpretability assessment protocol was used to assess if the correction system performed adequately.…”

Section: Discussionmentioning

confidence: 97%

An ex vivo study of automated motion artefact correction and the impact on cone beam CT image quality and interpretability

Spin‐Neto

Matzen

Schropp

et al. 2018

Dentomaxillofacial Radiology

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Section: Discussionmentioning

confidence: 97%

An ex vivo study of automated motion artefact correction and the impact on cone beam CT image quality and interpretability

Spin‐Neto

Matzen

Schropp

et al. 2018

Dentomaxillofacial Radiology

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“…The not add to the racking temporal cient to resolve respiratory motion. The temporal s given a high enough signal to noise Büther et al [6] developed a external markers for respiratory retrospective approach yields a surr vertical motion of external mark method gives the absolute coor Nazarparvar et al [7] proposed he external markers. However, thei images in 0.5 s intervals.…”

Section: Discussionmentioning

confidence: 99%

List-mode motion tracking for positron emission tomography imaging using low-activity fiducial markers

Chamberland

deKemp

2014

2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

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Motion correction in positron emi (PET) imaging may benefit from an accurate patient motion during the image acquisition. feasibility to detect and record the motion of markers during PET scans. We developed an it that can track the three-dimensional (3D) moti fiducial markers while surrounded by high ph activity from a patient undergoing PET imag techniques were used to simulate a 92.5-kBq 22 N sinusoidally in 3D. The simulated events were c mode data from patients undergoing cardiac order to test the algorithm. In experiment external 22 Na markers were placed on a dynam with an initial activity of approximately 680 M cardiac insert. We tracked the motion of tho simulating breathing motion and patient drift w Results from simulations show that a 92.5-kB tracked in 3D at a frequency of 2 Hz with an ac and a precision of 0.8 mm. The phantom st confirms that the algorithm can track both brea motion. The relative accuracy of the tracking and the precision was 0.8 mm. In conclusion, w an algorithm that can track the 3D motio positron-emitting markers during PET imag information might prove useful in develop correction schemes in clinical PET imaging.

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“…Tracking systems can be used to optically track the positions of fiducial markers placed on the patient (Dinelle et al 2006); however, tracker-based motion measurement introduces additional hardware, may face difficulty with line-of-sight occlusion by a rotating gantry, and the geometric accuracy may not be sufficient to correct for sub-millimeter errors (i.e., at the level of the voxel size in 3D image reconstruction). The tracked motion measurements must also be accurately synchronized with projection data acquisition, and proper calibration is needed to convert tracker coordinates to image coordinates (Nazarparvar et al 2012). …”

Section: Introductionmentioning

confidence: 99%

“…at the level of the voxel size in 3D image reconstruction). The tracked motion measurements must also be accurately synchronized with projection data acquisition, and proper calibration is needed to convert tracker coordinates to image coordinates (Nazarparvar et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Correction of patient motion in cone-beam CT using 3D–2D registration

et al. 2017

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Cone-beam CT (CBCT) is increasingly common in guidance of interventional procedures but can be subject to artifacts arising from patient motion during fairly long (~5-60s) scan times. We present a fiducial-free method to mitigate motion artifacts using 3D-2D image registration that simultaneously corrects residual errors in the intrinsic and extrinsic parameters of geometric calibration. The 3D-2D registration process registers each projection to a prior 3D image by maximizing gradient orientation using the covariance matrix adaptation-evolution strategy (CMA-ES) optimizer. The resulting rigid transforms are applied to the system projection matrices, and a 3D image is reconstructed via model-based iterative reconstruction. Phantom experiments were conducted using a Zeego robotic C-arm to image a head phantom undergoing 5–15 cm translations and 5–15° rotations. To further test the algorithm, clinical images were acquired with a CBCT head scanner in which long scan times were susceptible to significant patient motion. CBCT images were reconstructed using a penalized likelihood objective function. For phantom studies the structural similarity (SSIM) between motion-free and motion-corrected images was >0.995, with significant improvement (p<0.001) compared to the SSIM values of uncorrected images. Additionally, motion-corrected images exhibited a point-spread function with full-width at half maximum comparable to that of the motion-free reference image. Qualitative comparison of the motion-corrupted and motion-corrected clinical images demonstrated a significant improvement in image quality after motion correction. This indicates that the 3D-2D registration method could provide a useful approach to motion artifact correction under assumptions of local rigidity, as in the head, pelvis, and extremities. The method is highly parallelizable, and the automatic correction of residual geometric calibration errors provides added benefit that could be valuable in routine use.

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Correction of head movements in positron emission tomography using point source tracking system: a simulation study

Abstract: Using different kinds of phantoms and motions, the accuracy of the correction method is tested and its applicability to experimental studies is demonstrated as well.

Cited by 9 publications

References 24 publications

An ex vivo study of automated motion artefact correction and the impact on cone beam CT image quality and interpretability

An ex vivo study of automated motion artefact correction and the impact on cone beam CT image quality and interpretability

List-mode motion tracking for positron emission tomography imaging using low-activity fiducial markers

Correction of patient motion in cone-beam CT using 3D–2D registration

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