Abstract
Noninvasive methods of detection of diseases are very important in the medical domain. Imaging modalities such as MRI are usually employed and present the state of the art. As of now, it is very widely used in the prognosis of heart diseases where tissue distribution is taken into account. This work exhibits multi-modal MRI to enable segmenting tissues in limb, which happens to be a crucial first step in analysis.
This project has been partially founded by NIH grants 5R37AG018915-12 and 5P30AG021332-10 awarded to Wake Forest University School of Medicine.
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Acknowledgements
The authors thank Dr. RA Kraft, Dr. CA Hamilton of Virginia Tech and Dr. Kitzman, MD of Wake Forest University School of Medicine, for providing insights and feedback into this solution. The authors also express gratitude to Wake Forest University School of Medicine for kindly allowing to use the MRI datasets.
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Mishra, S., Rekhi, R.S., Anustha, Vyas, G. (2018). Segmentation of Musculoskeletal Tissues with Minimal Human Intervention. In: Mishra, D., Nayak, M., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Lecture Notes in Networks and Systems, vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-10-3932-4_5
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DOI: https://doi.org/10.1007/978-981-10-3932-4_5
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