|
|||||
|
|
Improved CT diagnosis of acute middle cerebral artery territory infarcts with density-difference analysis |
|
| Authors: | M. Bendszus H. Urbach B. Meyer R. Schultheiß L. Solymosi |
| Affiliation: | (1) Department of Neuroradiology, University of Würzburg, Josef Schneider-Strasse 11, D-97080 Würzburg, Germany, DE;(2) Department of Neuroradiology, University of Bonn, Sigmund Freud-Strasse 25, D-53127 Bonn, Germany, DE;(3) Department of Neurosurgery, University of Bonn, Sigmund Freud-Strasse 25, D-53127 Bonn, Germany, DE |
| Abstract: | A new postprocessing method is described for CT detection of acute middle cerebral artery (MCA) territory infarcts by histograph analysis of density values. The density values in each CT slice were histographically recorded for each hemisphere. A density-difference diagram was calculated by digital subtraction of the histogram of the left hemisphere from that of the right. Pixels within the highest density-difference ranges were highlighted. To investigate the value of this method CT studies of 30 patients with acute MCA territory infarcts and of 15 normal CT studies were analysed by two radiologists and neurosurgeons. CT images with and without postprocessing were assessed for the presence, site and size of infarcts. Follow-up CT was used as control. With density-difference analysis (DDA) the detection rate for infarcts increased significantly (96 % compared to 61 %). In no case was a correct diagnosis made on the unpostprocessed images falsely revised with DDA. All normal CT studies were detected correctly using DDA. Received: 16 October 1995 Accepted: 20 March 1996 |
| Keywords: | Computed tomography post processing Brain infarcts Early ischaemia |
| 本文献已被 SpringerLink 等数据库收录！ | |