Transmitting Chinese Medicine: Changing Perceptions of Body, Pathology, and Treatment in Late Imperial China

Historians of Chinese medicine acknowledge the plurality of Chinese medicine along both synchronic and diachronic dimensions. Yet, there remains a tendency to think of tradition as being defined by some unchanging features. The Chinese medical body is a case in point. This is assumed to have been formalised by the late Han dynasty around a system of internal organs, conduits, collaterals, and associated body structures. Although criticism was voiced from time to time, this body and the micro/ macrocosmic cosmological resonances that underpin it are seen to persist until the present day. I challenge this view by attending to attempts by physicians in China and Japan in the period from the mid 16th to the late 18th century to reimagine this body. Working within the domain of cold damage therapeutics and combining philological scholarship, empirical observations, and new hermeneutic strategies these physicians worked their way towards a new territorial understanding of the body and of medicine as warfare that required an intimate familiarity with the body’s topography. In late imperial China this new view of the body and medicine was gradually re-absorbed into the mainstream. In Japan, however, it led to a break with this orthodoxy that in the Republican era became influential in China once more. I argue that attending further to the innovations of this period—commonly portrayed as one of decline—from a transnational perspective may help to go beyond the modern insistence to frame East Asian medicines as traditional.

3D Reconstruction of Medical Images from Slices Automatically Landmarked with Growing Neural Models

In this study, we utilise a novel approach to segment out the ventricular system in a series of high resolution T1-weighted MR images. We present a brain ventricles fast reconstruction method. The method is based on the processing of brain sections and establishing a fixed number of landmarks onto those sections to reconstruct the ventricles 3D surface. Automated landmark extraction is accomplished through the use of the self-organising network, the growing neural gas (GNG), which is able to topographically map the low dimensionality of the network to the high dimensionality of the contour manifold without requiring a priori knowledge of the input space structure. Moreover, our GNG landmark method is tolerant to noise and eliminates outliers. Our method accelerates the classical surface reconstruction and filtering processes. The proposed method offers higher accuracy compared to methods with similar efficiency as Voxel Grid.

Analyzing and Modeling Medical Data on Distributed Computing Infrastructures

Researchers want to analyse Health Care data which may requires large pools of compute and data resources. To have them they need access to Distributed Computing Infrastructures (DCI). To use them it requires expertise which researchers may not have. Workflows can hide infrastructures. There are many workflow systems but they are not interoperable. To learn a workflow system and create workflows in a workflow system may require significant effort. Considering these efforts it is not reasonable to expect that researchers will learn new workflow systems if they want to run workflows of other workflow systems. As a result, the lack of interoperability prevents workflow sharing and a vast amount of research efforts is wasted. The FP7 Sharing Interoperable Workflow for Large-Scale Scientific Simulation on Available DCIs (SHIWA) project developed the Coarse-Grained Interoperability (CGI) to enable workflow sharing. The project created the SHIWA Simulation Platform (SSP) to support CGI as a production-level service. The paper describes how the CGI approach can be used for analysis and simulation in Health Care.

Image, video and 3D data registration: medical, satellite and video processing applications with quality metrics

Data registration refers to a series of techniques for matching or bringing similar objects or datasets together into alignment. These techniques enjoy widespread use in a diverse variety of applications, such as video coding, tracking, object and face detection and recognition, surveillance and satellite imaging, medical image analysis and structure from motion. Registration methods are as numerous as their manifold uses, from pixel level and block or feature based methods to Fourier domain methods. This book is focused on providing algorithms and image and video techniques for registration and quality performance metrics. The authors provide various assessment metrics for measuring registration quality alongside analyses of registration techniques, introducing and explaining both familiar and state–of–the–art registration methodologies used in a variety of targeted applications.