Method and device for detecting bright brain regions from computed tomography images

摘要

A method and devices are disclosed to detect bright brain regions (BBRs) from clinical non-enhanced computed tomography images through large grayscale, large grayscale asymmetry with respect to the midsagittal plane (MSP), and large grayscale local contrast. An adaptive approach is disclosed to determine thresholds of the 3 features and adjust the window width for data conversion. The substantial grayscale variability of BBRs for a subject is addressed by finding the bright portion followed by recovering. Those BBR voxels symmetrical to the MSP are recovered, partial volume effects are compensated and the high grayscale regions which may not correspond to intracerebral hemorrhage are excluded. The disclosed method and system could be a useful tool to aid classifying stroke types, quantifying intracerebral hemorrhage and enhancing stroke therapy.

主权项

1. A method for detecting the bright brain regions from computed tomography images, comprising:
loading computed tomography image data; deriving images of a skull; deriving brain images; converting the brain images to lower bit images data; calculating a generalized asymmetry map with respect to the midsagittal plane (MSP); calculating a grayscale threshold, a threshold of a local contrast, a threshold of asymmetry, and a threshold of partial volume voxels for bright brain regions (BBRs); deriving initial bright brain regions (BBRs); recovering bright brain voxels symmetrical to the midsagittal plane (MSP); refining the initial bright brain regions (BBRs); checking if detected bright brain regions (BBRs) is different from an average grayscale, increasing or decreasing a window width being increased or decreased when the detected bright brain regions (BBRs) is different from the average grayscale, then and going back to the converting step; and after checking to ensure that the bright brain regions (BBRs) match the average grayscale, outputting the bright brain regions (BBRs).