Optimizing the Frame Duration for Data‐Driven Rigid Motion Estimation in Brain PET Imaging

2021 ◽  
Author(s):  
Matthew G. Spangler‐Bickell ◽  
Samuel A. Hurley ◽  
Timothy W. Deller ◽  
Floris Jansen ◽  
Valentino Bettinardi ◽  
...  
Keyword(s):  
Motion Estimation ◽  
Pet Imaging ◽  
Rigid Motion ◽  
Data Driven ◽  
Brain Pet ◽  
Frame Duration

scholarly journals A Comparison of Techniques for PET Data-Driven Tracking of Head Motion

2021 ◽  
Author(s):  
Ashley Gillman ◽  
Stephen Rose ◽  
Jye Smith ◽  
Jason A Dowling ◽  
Nicholas Dowson
Keyword(s):  
Attenuation Correction ◽  
Pet Imaging ◽  
Motion Correction ◽  
Robust Regression ◽  
Rigid Motion ◽  
Block Matching ◽  
Data Driven ◽  
Phantom Experiment ◽  
Motion Sensitivity ◽  
The Mean

Abstract Background / AimsPatient motion during positron emission tomography (PET) imaging can corrupt the image by causing blurring and quantitation error due to misalignment with the attenuation correction image. Data-driven techniques for tracking motion in PET imaging allow for retrospective motion correction, where motion may not have been prospectively anticipated.MethodsA two minute PET acquisition of a Hoffman phantom was acquired on a Bi- ograph mCT Flow, during which the phantom was rocked, simulating periodic motion with varying frequency. Motion was tracked using the sensitivity method, the axial centre-of-mass (COM) method, a novel 3D-COM method, and the principal component analysis (PCA) method. A separate two minute acquisition was acquired with no motion as a gold standard. The tracking signal was discretised into 10 gates using k-means clustering. Motion was modelled and corrected using the reconstruct-transform-add (RTA) technique, leveraging Multimodal Image Registration using Block-matching and Robust Regression (Mirorr) for rigid registration of non- attenuation-corrected 4D PET and Software for Tomographic Image Reconstruction (STIR) for PET reconstructions. Evaluation was performed by segmenting white matter (WM) and grey matter (GM) in the attenuation correction computed tomography (CT). The mean uptake in the region of GM was compared with that in the WM region. Additionally, the difference between the intensity distributions of WM and GM regions was measured with the t-statistic from a Welch's t-test.ResultsDifference in the mean distribution of WM to GM ranked the techniques in order of efficacy: no correction, sensitivity, axial-COM, 3D-COM, PCA, no motion. PCA correction had a great WM/GM separation measured by the t-value than the no motion scan. This was attributed to interpolation blurring during motion correction reducing class variance.ConclusionOf the techniques examined, PCA was found to be most effective for tracking rigid motion. The sensitivity and axial-COM techniques are mostly sensitive to axial motion, and so were ineffective in this phantom experiment. 3D-COM demonstrates improved transaxial motion sensitivity, but not to the level of effectiveness of PCA.

scholarly journals Optimising rigid motion compensation for small animal brain PET imaging

2016 ◽  
Vol 61 (19) ◽  
pp. 7074-7091 ◽  
Author(s):  
Matthew G Spangler-Bickell ◽  
Lin Zhou ◽  
Andre Z Kyme ◽  
Bart De Laat ◽  
Roger R Fulton ◽  
...  
Keyword(s):  
Pet Imaging ◽  
Motion Compensation ◽  
Rigid Motion ◽  
Small Animal ◽  
Animal Brain ◽  
Brain Pet

scholarly journals Automated Data Quality Control in FDOPA brain PET Imaging using Deep Learning

2021 ◽  
pp. 106239
Author(s):  
Antonella D. Pontoriero ◽  
Giovanna Nordio ◽  
Rubaida Easmin ◽  
Alessio Giacomel ◽  
Barbara Santangelo ◽  
...  
Keyword(s):  
Quality Control ◽  
Deep Learning ◽  
Data Quality ◽  
Pet Imaging ◽  
Data Quality Control ◽  
Brain Pet

Feasibility of Template-Guided Attenuation Correction in Cat Brain PET Imaging

2009 ◽  
Vol 12 (3) ◽  
pp. 250-258 ◽  
Author(s):  
Jin Su Kim ◽  
Jae Sung Lee ◽  
Min-Hyun Park ◽  
Kyeong Min Kim ◽  
Seung-Ha Oh ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Pet Imaging ◽  
Brain Pet ◽  
Cat Brain

scholarly journals PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds

2019 ◽  
Author(s):  
Aseem Behl ◽  
Despoina Paschalidou ◽  
Simon Donne ◽  
Andreas Geiger
Keyword(s):  
Motion Estimation ◽  
Rigid Motion ◽  
Point Clouds

scholarly journals P2-375: A STUDY TO EVALUATE THE KINETICS AND 28 DAY TEST-RETEST REPEATABILITY AND REPRODUCIBILITY OF THE RADIOLIGAND [11 C]UCB-J FOR BRAIN PET IMAGING IN HEALTHY SUBJECTS AND MILD-MODERATE ALZHEIMER'S DISEASE SUBJECTS

2019 ◽  
Vol 15 ◽  
pp. P745-P746
Author(s):  
Emma E. Wolters ◽  
Hayel Tuncel ◽  
Sandeep S.V. Golla ◽  
Sander C.J. Verfaillie ◽  
Bart N.M. Van Berckel ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Pet Imaging ◽  
Healthy Subjects ◽  
Brain Pet ◽  
Repeatability And Reproducibility

Optimal instantaneous rigid motion estimation insensitive to local minima

2006 ◽  
Vol 104 (1) ◽  
pp. 77-86 ◽  
Author(s):  
Karl Pauwels ◽  
Marc M. Van Hulle
Keyword(s):  
Motion Estimation ◽  
Rigid Motion ◽  
Local Minima

scholarly journals Brain PET Imaging of α7-nAChR with [18F]ASEM: Reproducibility, Occupancy, Receptor Density, and Changes in Schizophrenia

2018 ◽  
Vol 21 (7) ◽  
pp. 656-667 ◽  
Author(s):  
Dean F Wong ◽  
Hiroto Kuwabara ◽  
Andrew G Horti ◽  
Joshua M Roberts ◽  
Ayon Nandi ◽  
...  
Keyword(s):  
Pet Imaging ◽  
Receptor Density ◽  
Brain Pet ◽  
Α7 Nachr
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