发明名称 |
Method for detecting and quantifying cerebral infarct |
摘要 |
A method for detecting a cerebral infarct includes receiving an image of a brain of a subject from a magnetic resonance imaging scanner, wherein the image has a plurality of voxels, and each of the voxels has a voxel intensity. Then, the voxel intensities are normalized, wherein the normalized voxel intensities have a distribution peak, and the normalized voxel intensity of the distribution peak is Ipeak. A threshold is determined, which is the Ipeak+ a value. Voxel having the normalized voxel intensity larger than the threshold is selected, wherein the selected voxel is the cerebral infarct. A method for quantifying the cerebral infarct is also provided. |
申请公布号 |
US9412163(B2) |
申请公布日期 |
2016.08.09 |
申请号 |
US201514642761 |
申请日期 |
2015.03.10 |
申请人 |
National Central University |
发明人 |
Peng Syu-Jyun;Tsai Jang-Zern;Chen Yu-Wei;Wang Kuo-Wei |
分类号 |
G06T7/00;A61B5/00 |
主分类号 |
G06T7/00 |
代理机构 |
CKC & Partners Co., Ltd. |
代理人 |
CKC & Partners Co., Ltd. |
主权项 |
1. A method for detecting a cerebral infarct, comprising:
receiving an image of a brain of a subject from a magnetic resonance imaging scanner, wherein the image has a plurality of voxels, and each of the voxels has a voxel intensity; normalizing the voxel intensities to make the voxel intensities disperse in a standard range, wherein the normalized voxel intensities have a distribution peak, and the normalized voxel intensity of the distribution peak is Ipeak; determining a threshold, which is the Ipeak+ a value, wherein the value is a difference value between a minimum normalized voxel intensity of the cerebral infarct diagnosed by a semi-automatic segmentation method and the Ipeak; and selecting voxel having the normalized voxel intensity larger than the threshold, wherein the selected voxel is the cerebral infarct. |
地址 |
Taoyuan TW |