分类： 医学、药学 >> 医学、药学其他学科 分类： 数学 >> 几何与拓扑 分类： 计算机科学 >> 计算机科学的集成理论 提交时间： 2018-03-31
摘要： Labeled images are one of the most important means of scientific communication and education. However, traditional markers (arrows, lines) are point markers; do not include information about how large the feature is. We designed an efficient marker system for labeling scientific images (electron or light microscopy, CT, MRI, ultrasonography, camera pictures, etc), called the “T Area Marker, (TAM)”. The basic TAM marker looks like a “T”, composed of a line segment and a small tick on one end; it defines an imagined circle that stands on the tickless end and the diameter of the circle is equal to the length of the line segment. Thus the TAM can define an exact area rather than a single point; and the imagined circle does not break the continuity of the image (unlike traditional visible circles, rectangles, etc). A TAM with N ticks (N>1) means the diameter equals to N times the length of TAM. A TAM may also have a tail and/or several tail branches to define translation of the imagined circle, thus define complicated areas. tAreaMarker.py is free software that combines the drawing and reading of TAMs, although in most cases TAMs are easily interpreted without computer assistance.
分类： 心理学 >> 医学心理学 提交时间： 2018-03-31
摘要： 脑功能成像包含有多种研究模态，其中功能磁共振成像（functional magnetic resonance imaging, fMRI）技术，特别是静息态fMRI技术由于其所具有的安全无创、兼具较高的空间/时间分辨率、临床易实施、便于积累大数据等独特优势在精神疾病研究中得到了广泛应用。然而，效应量过小、可重复性不高等问题也困扰着该技术在精神疾病诊断治疗中的进一步临床转化应用。笔者认为，对静息态自发思维进行精细化以改进静息态fMRI研究范式，阐明静息态fMRI指标生理意义并开发更具神经意义的新指标，积累大数据并训练深度学习分类器辅助临床诊断，以及精心设计纵向研究探讨精神疾病治疗方案的改进，是推动静息态fMRI技术进一步向临床诊疗转化的可行途径。
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