The aim of this study is to investigate the impact of respiratory motion correction and spatial resolution on lesion detectability in PET as a function of lesion size and tracer uptake. Real respiratory signals describing different breathing types are combined with a motion model formed from real dynamic MR data to simulate multiple dynamic PET datasets acquired from a continuously moving subje...

PURPOSE Motion correction in PET has become more important as system resolution has improved. The purpose of this study was to evaluate the accuracy of event-by-event and frame-based MC methods in human brain PET imaging. METHODS Motion compensated image reconstructions were performed with static and dynamic simulated high resolution research tomograph data with frame-based image reconstructi...

W. Lin, H. K. Song Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States Introduction: Post-processing techniques requiring no additional navigator data have been successfully demonstrated for motion correction in MRI [1-3]. However, high computational costs typically associated with these methods have limited their application. For example, a 2-D translational co...

introduction: motion of the patient during myocardial perfusion spect could potentially results in false perfusion defects. the effect of different reconstruction methods on these artifacts is not studied. clarification of the relation between the extent, severity and duration of motion with the resultant artifacts may be helpful in designing special soft wares for motion correction. this study...

Head motion is a fundamental problem in brain MRI. The problem is further compounded in diffusion tensor imaging because of long acquisition times, and the sensitivity of the tensor computation to even small misregistration. To combat motion artifacts in diffusion tensor imaging, a novel real-time prospective motion correction method was introduced using an in-bore monovision system. The system...

we present a methodology for anatomical modeling, motion tracking and skin movement quantification of the hip joint using Magnetic Resonance Imaging. First, we capture the subject’s anatomy with a static protocol and reconstruct the three-dimensional models of the hip joint. Then reflective markers are attached to the subject’s limb and a dynamic protocol is used to track their trajectories. It...

The impact of using motion estimates as covariates of no interest was examined in general linear modeling (GLM) of both block design and rapid event-related functional magnetic resonance imaging (fMRI) data. The purpose of motion correction is to identify and eliminate artifacts caused by task-correlated motion while maximizing sensitivity to true activations. To optimize this process, a combin...

King’s College London, Division of Imaging Sciences and Biomedical Engineering, London, UK The impact of respiratory motion correction on quantitative accuracy in PET imaging is evaluated using real-time simulations for variable patient specific characteristics such as tumor malignancy and respiratory pattern. Respiratory patterns from real patients were acquired, with long quiescent motion per...

Head motion is the major source of error in measuring intensity changes related to given stimuli in fMRI. The effects of head motion are image shifts and field inhomogeneity variations which cause local changes in geometric distortions. The previously developed motion correction method, mapping slice-to-volume (MSV), retrospectively remaps slices that are shifted by head motion to their spatial...

Positron Emission Tomography (PET) is a nuclear imaging technique of increasing importance e.g. in cardiovascular investigations. However, cardiac and respiratory motion of the patient degrade the image quality due to acquisition times in the order of minutes. Reconstructions without motion compensation are prone to spatial blurring and affected attenuation correction. These effects can be redu...