Abstract
The key role of three-dimensional reconstructions in the analyses of medical imagery has gained more recognition over the past 20 years through many fields such as computer graphics and biological medicine. Specifically, lighting the role of isolated discrete mammalian cardiac tissues or organs typically involves a more accurate anatomical reconstruction procedure. To date, however, there has been no unified approach that could be extended to model establishments. This article seeks to amend these problems by introducing a new approach for studying the three-dimensional distribution of Pnmt+ cell-derived cells in isolated mouse hearts. Related data comes from Scientific Data that describes a new cardiomyocyte population which is a specific class of phenylethanolamine n-methyltransferase (Pnmt+) cell-derived cardiomyocytes (PdCMs). Rigid registration was implemented to match the raw sliced images of the murine heart using TrakEM2. Compared to previous reconstruction approaches, our methods have accomplished automated 3D reconstruction using image processing. The primary purpose of this paper is to propose an automatic image processing pipeline to recreate the 3D image of the murine heart, which prevents cell distribution distortion induced by handcrafted noise removal. The final 3D reconstructed exhibition was displayed by Paraview.
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Zhong, H., Huang, C., Cui, J., Hu, W. (2022). Three-Dimensional Image Reconstruction of Murine Heart Using Image Processing. In: Su, R., Zhang, YD., Liu, H. (eds) Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021). MICAD 2021. Lecture Notes in Electrical Engineering, vol 784. Springer, Singapore. https://doi.org/10.1007/978-981-16-3880-0_2
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DOI: https://doi.org/10.1007/978-981-16-3880-0_2
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