Luo Hui, Hao Wei, Foos David H, Cornelius Craig W
Kodak Research & Development Laboratories, Eastman Kodak Company, Rochester, NY 14650-2003, USA.
IEEE Trans Inf Technol Biomed. 2006 Apr;10(2):302-11. doi: 10.1109/titb.2005.859872.
Chest radiography is one of the most widely used techniques in diagnostic imaging. It comprises at least one-third of all diagnostic radiographic procedures in hospitals. However, in the picture archive and communication system, images are often stored with the projection and orientation unknown or mislabeled, which causes inefficiency for radiologists' interpretation. To address this problem, an automatic hanging protocol for chest radiographs is presented. The method targets the most effective region in a chest radiograph, and extracts a set of size-, rotation-, and translation-invariant features from it. Then, a well-trained classifier is used to recognize the projection. The orientation of the radiograph is later identified by locating the neck, heart, and abdomen positions in the radiographs. Initial experiments are performed on the radiographs collected from daily routine chest exams in hospitals and show promising results. Using the presented protocol, 98.2% of all cases could be hung correctly on projection view (without protocol, 62%), and 96.1% had correct orientation (without protocol, 75%). A workflow study on the protocol also demonstrates a significant improvement in efficiency for image display.
胸部X线摄影是诊断成像中使用最广泛的技术之一。它占医院所有诊断性放射检查程序的至少三分之一。然而,在图像存档与通信系统中,图像的投影和方向常常未知或标记错误,这给放射科医生的解读带来了不便。为了解决这个问题,本文提出了一种胸部X光片的自动悬挂方案。该方法针对胸部X光片中最有效的区域,从中提取一组尺寸、旋转和平移不变特征。然后,使用经过良好训练的分类器来识别投影。通过定位X光片中颈部、心脏和腹部的位置来确定X光片的方向。在从医院日常胸部检查收集的X光片上进行了初步实验,结果很有前景。使用所提出的方案,98.2%的病例能够在投影视图上正确悬挂(无方案时为62%),96.1%的病例方向正确(无方案时为75%)。对该方案的工作流程研究也表明,图像显示效率有显著提高。