Improved Volume Rendering for Head CT Images Using a Selective Offset of CT Values Histogram Space.
スポンサーリンク
概要
- 論文の詳細を見る
With X-ray CT images of the head, it is difficult to correctly classify pixels in regions of brain and skin, as the CT-value distributions for these tissues overlap. We present a method of separating the distributions, allowing brain tissue to be distinguished from skin and other tissue, by selectively shifting brain CT values in histogram space. We briefly describe the volume rendering process, and in particular the classification step (corresponding to the segmentation step in convensional surface rendering) in which our new algorithm is implimented. The algorithm, selective CT-value shifting, functions as follows: Brain regions are separated from other areas using image masking. Shifting the CT values of these regions in histogram space then allows brain regions to be distinguished from other regions the renderer. Finally, in order to demonstrate the effectiveness of the algorithm, we present rendered images based on Head X-ray CT images.
- 一般社団法人 日本生体医工学会の論文
一般社団法人 日本生体医工学会 | 論文
- Evaluating the Workload Reduction of Automatic Vital Data Transmission
- Mental Fatigue Measurement Based on the Changes in Flicker Perception Threshold using Consumer Mobile Devices
- A Theoretical Study on a Computational Algorithm for Human Posture Estimation Based on Motion Capture of a Small Number of Markers
- Latest microscopic technique. From the principle to application. Development of three-dimensional microscopic system for operation of mini-pig fertilized eggs.
- A Study of the Automation of Cytodiagnosis (The Second Report):Cytophotometry Using Photomicroscanner and a Trial of Data-processing