Numerical observer for cardiac motion assessment

2010 ◽  
Author(s):  
Jovan G. Brankov ◽  
Thibault Marin ◽  
P. H. Pretorius ◽  
Yongyi Yang ◽  
Miles N. Wernick
Keyword(s):  
Cardiac Motion ◽  
Motion Assessment

Numerical observer for cardiac motion assessment using machine learning

2011 ◽  
Author(s):  
Thibault Marin ◽  
Mahdi M. Kalayeh ◽  
P. H. Pretorius ◽  
Miles N. Wernick ◽  
Yongyi Yang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cardiac Motion ◽  
Motion Assessment

scholarly journals Imaging coronary plaques using 3D motion-compensated [18F]NaF PET/MR

2021 ◽  
Author(s):  
Johannes Mayer ◽  
Thomas-Heinrich Wurster ◽  
Tobias Schaeffter ◽  
Ulf Landmesser ◽  
Andreas Morguet ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Free Breathing ◽  
Cardiac Motion ◽  
Water Fraction ◽  
3 Dimensional ◽  
Background Ratio ◽  
Motion Models ◽  
Physiological Motion ◽  
Atherosclerosis Imaging ◽  
Novel Applications

Abstract Background Cardiac PET has recently found novel applications in coronary atherosclerosis imaging using [18F]NaF as a radiotracer, highlighting vulnerable plaques. However, the resulting uptakes are relatively small, and cardiac motion and respiration-induced movement of the heart can impair the reconstructed images due to motion blurring and attenuation correction mismatches. This study aimed to apply an MR-based motion compensation framework to [18F]NaF data yielding high-resolution motion-compensated PET and MR images. Methods Free-breathing 3-dimensional Dixon MR data were acquired, retrospectively binned into multiple respiratory and cardiac motion states, and split into fat and water fraction using a model-based reconstruction framework. From the dynamic MR reconstructions, both a non-rigid cardiorespiratory motion model and a motion-resolved attenuation map were generated and applied to the PET data to improve image quality. The approach was tested in 10 patients and focal tracer hotspots were evaluated concerning their target-to-background ratio, contrast-to-background ratio, and their diameter. Results MR-based motion models were successfully applied to compensate for physiological motion in both PET and MR. Target-to-background ratios of identified plaques improved by 7 ± 7%, contrast-to-background ratios by 26 ± 38%, and the plaque diameter decreased by −22 ± 18%. MR-based dynamic attenuation correction strongly reduced attenuation correction artefacts and was not affected by stent-related signal voids in the underlying MR reconstructions. Conclusions The MR-based motion correction framework presented here can improve the target-to-background, contrast-to-background, and width of focal tracer hotspots in the coronary system. The dynamic attenuation correction could effectively mitigate the risk of attenuation correction artefacts in the coronaries at the lung-soft tissue boundary. In combination, this could enable a more reproducible and reliable plaque localisation.

scholarly journals Non-rigid image registration using a modified fuzzy feature-based inference system for 3D cardiac motion estimation

2021 ◽  
Vol 205 ◽  
pp. 106085
Author(s):  
Monire Sheikh Hosseini ◽  
Mahammad Hassan Moradi ◽  
Mahdi Tabassian ◽  
Jan D'hooge
Keyword(s):  
Image Registration ◽  
Motion Estimation ◽  
Cardiac Motion ◽  
Inference System ◽  
Feature Based

scholarly journals Cultural bias in motor function patterns: Potential relevance for predictive, preventive, and personalized medicine

2021 ◽  
Author(s):  
Karen Otte ◽  
Tobias Ellermeyer ◽  
Masahide Suzuki ◽  
Hanna M. Röhling ◽  
Ryota Kuroiwa ◽  
...  
Keyword(s):  
Personalized Medicine ◽  
Motor Function ◽  
Motor Performance ◽  
Body Height ◽  
Healthy Adults ◽  
Cultural Bias ◽  
Full Potential ◽  
Japanese Adults ◽  
Body Stature ◽  
Motion Assessment

Abstract Background Quantification of motor performance has a promising role in personalized medicine by diagnosing and monitoring, e.g. neurodegenerative diseases or health problems related to aging. New motion assessment technologies can evolve into patient-centered eHealth applications on a global scale to support personalized healthcare as well as treatment of disease. However, uncertainty remains on the limits of generalizability of such data, which is relevant specifically for preventive or predictive applications, using normative datasets to screen for incipient disease manifestations or indicators of individual risks. Objective This study explored differences between healthy German and Japanese adults in the performance of a short set of six motor tests. Methods Six motor tasks related to gait and balance were recorded with a validated 3D camera system. Twenty-five healthy adults from Chiba, Japan, participated in this study and were matched for age, sex, and BMI to a sample of 25 healthy adults from Berlin, Germany. Recordings used the same technical setup and standard instructions and were supervised by the same experienced operator. Differences in motor performance were analyzed using multiple linear regressions models, adjusted for differences in body stature. Results From 23 presented parameters, five showed group-related differences after adjustment for height and weight (R2 between .19 and .46, p<.05). Japanese adults transitioned faster between sitting and standing and used a smaller range of hand motion. In stepping-in-place, cadence was similar in both groups, but Japanese adults showed higher knee movement amplitudes. Body height was identified as relevant confounder (standardized beta >.5) for performance of short comfortable and maximum speed walks. For results of posturography, regression models did not reveal effects of group or body stature. Conclusions Our results support the existence of a population-specific bias in motor function patterns in young healthy adults. This needs to be considered when motor function is assessed and used for clinical decisions, especially for personalized predictive and preventive medical purposes. The bias affected only the performance of specific items and parameters and is not fully explained by population-specific ethnic differences in body stature. It may be partially explained as cultural bias related to motor habits. Observed effects were small but are expected to be larger in a non-controlled cross-cultural application of motion assessment technologies with relevance for related algorithms that are being developed and used for data processing. In sum, the interpretation of individual data should be related to appropriate population-specific or even better personalized normative values to yield its full potential and avoid misinterpretation.

scholarly journals OC-0410 Soft-tissue based on-line prostate motion assessment in 4D Cine-MR for MR-Linac treatments

2019 ◽  
Vol 133 ◽  
pp. S211-S212
Author(s):  
D. De Muinck Keizer ◽  
L.G.W. Kerkmeijer ◽  
M. Maspero ◽  
J.R.N. Van der Voort van Zyp ◽  
C.A.T. Van den Berg ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Cine Mr ◽  
Prostate Motion ◽  
On Line ◽  
Motion Assessment

scholarly journals Conditional Shape Models for Cardiac Motion Estimation

2010 ◽  
pp. 452-459 ◽  
Author(s):  
Coert Metz ◽  
Nora Baka ◽  
Hortense Kirisli ◽  
Michiel Schaap ◽  
Theo van Walsum ◽  
...  
Keyword(s):  
Motion Estimation ◽  
Cardiac Motion ◽  
Shape Models
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