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A common approach for enabling remote radiologists to view medical images is to provide them with secure access to a cloud instance using a web-based application. Such solutions must transcode input images or videos to low latency, lossless bit streams and make them available to remote users. The heart of the solution is the highly efficient, low-latency, and hardware-agnostic compression scheme. This poster surveys potential codecs for the low-latency, lossless compression of 16-bit RAW monochrome medical images and compares the compression ratio and encode time for each.

Localization of exact positions of the fundamental heart sounds (FHS) is an essential step towards automatic analysis of heart sound phonocardiogram (PCG) recordings, the automatic segmentation allows for data-driven classification of heart pathological events. Current approach using probabilistic models such as hidden Markov models (HMMs) has improved accuracy of heart sound segmentation.