Blood transfusion is a frequently performed medical procedure in surgical and nonsurgical contexts. Although it is often necessary or even life-saving, it has been identified as one of the most overused procedures in ...
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Blood transfusion is a frequently performed medical procedure in surgical and nonsurgical contexts. Although it is often necessary or even life-saving, it has been identified as one of the most overused procedures in hospitals. Unnecessary transfusions not only waste resources but can also be detrimental to patient outcomes. Patient blood management (PBM) is the clinical practice of optimizing transfusions and associated outcomes. In this paper, we introduce Sanguine, a visual analysis tool for transfusion data and related patient medical records. Sanguine was designed with two user groups in mind: PBM experts who oversee blood management practices across an institution and clinicians performing transfusions. PBM experts use Sanguine to explore and analyze transfusion practices and their associated medical outcomes. They can compare individual surgeons, or compare outcomes or time periods, such as before and after an intervention regarding transfusion practices. PBM experts then curate and annotate views for communication with clinicians, with the goal of improving their transfusion practices. We validate the utility and effectiveness of Sanguine through case studies.
A modified single-pass multiview rendering method is proposed to achieve real-time large viewing angle volume data three-dimensional (3-D) display. By modifying the volume rendering pipeline, the mapping of the synthe...
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A modified single-pass multiview rendering method is proposed to achieve real-time large viewing angle volume data three-dimensional (3-D) display. By modifying the volume rendering pipeline, the mapping of the synthetic image pixel and multiperspective information is directly accomplished in once rendering pass. And then shear-transformed ray is cast to integrate multiperspective information into the synthetic image used for 3-D display. Proof-of-concept experimental setups are constructed with the autostereoscopic 3-D display and the 3-D light-field display to demonstrate the proposed method without loss of generality. The experimental results show that the real-time frame rates of the autostereoscopic 3-D display and the 3-D light-field display are more than 30 and 60 fps at 4K (3840 x 2160) resolution, respectively. The rendering efficiency of the proposed method is irrespective of the viewpoint number and viewing angle size. In addition, it is not only compatible with the volume drawing pipeline but also robust to different types of 3-D displays based on pixel coding. A feasible way of applying 3-D display to the biological and medical fields is presented. (C) 2020 Society of Photo-Optical Instrumentation Engineers (SPIE)
The purpose of this research is to provide medical clinicians with a new technology for interpreting large and diverse datasets to expedite critical care decision-making in the ICU. We refer to this technology as the ...
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ISBN:
(纸本)9783642217166;9783642217159
The purpose of this research is to provide medical clinicians with a new technology for interpreting large and diverse datasets to expedite critical care decision-making in the ICU. We refer to this technology as the medical information visualization assistant (MIVA). MIVA delivers multivariate biometric (bedside) data via a visualization display by transforming and organizing it into temporal resolutions that can provide contextual knowledge to clinicians. The result is a spatial organization of multiple datasets that allows rapid analysis and interpretation of trends. Findings from the usability study of the MIVA static prototype and heuristic inspection of the dynamic prototype suggest that using MIVA can yield faster and more accurate results. Furthermore, comments from the majority of the experimental group and the heuristic inspectors indicate that MIVA can facilitate clinical task flow in context-dependent health care settings.
We present a model to predict and represent human fatigue in a 3D interactive system. A fatigue model has been developed for the fatigue assessment of several joints of the human body within the static case hypothesis...
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ISBN:
(纸本)0819448095
We present a model to predict and represent human fatigue in a 3D interactive system. A fatigue model has been developed for the fatigue assessment of several joints of the human body within the static case hypothesis. The model incorporates normalized torques, joint strength and maximum holding time as parameters. Fatigue evolution is predicted taking into account how these variables evolve over time. The fatigue model is embedded within an Inverse Kinematics engine that tries to achieve user-defined goals. During the animation, the predicted fatigue level is given to the graphical system in order to visualize it around its associated joint. The current fatigue value is exploited by the fatigue model to perform a new iteration towards the goal. The traditional joint model is broken down into two half-joints that better represents the anatomic organization of motion production through two independent muscle groups. Based on this organization, we can calculate and visualize independent fatigue variables for each antagonist muscle group. This type of visualization gives an intuitive and clear feedback. Each half-joint maintains its own fatigue, model and variable. The two fatigue variables are represented by means of dynamic semicircles. Visual guides as semicircle's length and gradual color indicates fatigue evolution along time.
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