June 28, 2024, 4:47 a.m. | Chengkang Shen, Hao Zhu, You Zhou, Yu Liu, Si Yi, Lili Dong, Weipeng Zhao, David J. Brady, Xun Cao, Zhan Ma, Yi Lin

cs.CV updates on arXiv.org arxiv.org

arXiv:2310.02792v2 Announce Type: replace-cross
Abstract: Myocardial motion tracking stands as an essential clinical tool in the prevention and detection of cardiovascular diseases (CVDs), the foremost cause of death globally. However, current techniques suffer from incomplete and inaccurate motion estimation of the myocardium in both spatial and temporal dimensions, hindering the early identification of myocardial dysfunction. To address these challenges, this paper introduces the Neural Cardiac Motion Field (NeuralCMF). NeuralCMF leverages implicit neural representation (INR) to model the 3D structure and …

abstract arxiv clinical continuous cs.cv current death detection dimensions diseases eess.iv however identification prevention replace spatial temporal tool tracking type via

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