Rigid Motion Compensation in Interventional C-arm CT Using Consistency Measure on Projection Data

2015 ◽  
pp. 298-306 ◽  
Author(s):  
Robert Frysch ◽  
Georg Rose
Keyword(s):  
Motion Compensation ◽  
Rigid Motion ◽  
Projection Data ◽  
Consistency Measure

scholarly journals Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
F. Steinbruecker ◽  
A. Meyer-Baese ◽  
T. Schlossbauer ◽  
D. Cremers
Keyword(s):  
Breast Cancer ◽  
Motion Compensation ◽  
Rigid Motion ◽  
Breast Mri ◽  
Lesion Detection ◽  
Nonrigid Motion ◽  
Small Lesion ◽  
Spatiotemporal Features ◽  
Optical Flow Method ◽  
Compensation Technique

Motion-induced artifacts represent a major problem in detection and diagnosis of breast cancer in dynamic contrast-enhanced magnetic resonance imaging. The goal of this paper is to evaluate the performance of a new nonrigid motion correction algorithm based on the optical flow method. For each of the small lesions, we extracted morphological and dynamical features describing both global and local shape, and kinetics behavior. In this paper, we compare the performance of each extracted feature set under consideration of several 2D or 3D motion compensation parameters for the differential diagnosis of enhancing lesions in breast MRI. Based on several simulation results, we determined the optimal motion compensation parameters. Our results have shown that motion compensation can improve the classification results. The results suggest that the computerized analysis system based on the non-rigid motion compensation technique and spatiotemporal features has the potential to increase the diagnostic accuracy of MRI mammography for small lesions and can be used as a basis for computer-aided diagnosis of breast cancer with MR mammography.

Rigid and Non-rigid Motion Compensation in Weight-bearing CBCT of the Knee using Simulated Inertial Measurements

2021 ◽  
pp. 1-1
Author(s):  
Jennifer Maier ◽  
Marlies Nitschke ◽  
Jang-Hwan Choi ◽  
Garry Gold ◽  
Rebecca Fahrig ◽  
...  
Keyword(s):  
Motion Compensation ◽  
Weight Bearing ◽  
Rigid Motion ◽  
Inertial Measurements

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 Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data

2019 ◽  
Vol 38 (8) ◽  
pp. 1812-1820 ◽  
Author(s):  
Cian M. Scannell ◽  
Adriana D. M. Villa ◽  
Jack Lee ◽  
Marcel Breeuwer ◽  
Amedeo Chiribiri
Keyword(s):  
Myocardial Perfusion ◽  
Motion Compensation ◽  
Rigid Motion ◽  
Free Breathing ◽  
Perfusion Mri

scholarly journals Designing a compact MRI motion phantom

2016 ◽  
Vol 2 (1) ◽  
pp. 471-474
Author(s):  
Max Schmiedel ◽  
Anita Moeller ◽  
Martin A. Koch ◽  
Alfred Mertins
Keyword(s):  
Motion Compensation ◽  
Rigid Motion ◽  
Small Animal ◽  
Ground Truth ◽  
Motion Artifacts ◽  
Body Motion ◽  
Retrospective Gating ◽  
Motion Phantom ◽  
Magnetic Resonance Imaging Mri ◽  
Small Animal Mri

AbstractEven today, dealing with motion artifacts in magnetic resonance imaging (MRI) is a challenging task. Image corruption due to spontaneous body motion complicates diagnosis. In this work, an MRI phantom for rigid motion is presented. It is used to generate motion-corrupted data, which can serve for evaluation of blind motion compensation algorithms. In contrast to commercially available MRI motion phantoms, the presented setup works on small animal MRI systems. Furthermore, retrospective gating is performed on the data, which can be used as a reference for novel motion compensation approaches. The motion of the signal source can be reconstructed using motor trigger signals and be utilized as the ground truth for motion estimation. The proposed setup results in motion corrected images. Moreover, the importance of preprocessing the MRI raw data, e.g. phase-drift correction, is demonstrated. The gained knowledge can be used to design an MRI phantom for elastic motion.

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