Automatic recognition of basal cisterns on brain CT

Ke Chun Huang, Furen Xiao, Jau Min Wong, I-Jen Chiang, Chun Chih Liao

研究成果: 書貢獻/報告類型會議貢獻

摘要

Effacement of the basal cisterns (BC) and midline shift (MLS) are two most important features clinicians use to evaluate the severity of brain compression by various pathologies. Because of its complex shape, measuring the compression of the BC is not an easy task and its standardization has not been proposed until recently. Based on this standard method, we develop a method for automatic recognition of the BC on brain CT slices. Hypodense pixels of the brain area on each slice are found with a threshold derived from its own histogram. Hough transform is then applied to find the semicircular band containing largest number of hypodense pixels within the lower-central brain. This area was recognized as the normal or abnormal BC if it fits certain rules derived from human experts. Our system is tested on patient images. We found good inter-rater agreement between the results generated by our system and those evaluated by a board-certified neurosurgeon (kappa = 0.957).
原文英語
主出版物標題Advanced Materials Research
頁面5121-5125
頁數5
403-408
DOIs
出版狀態已發佈 - 2012
事件2011 7th International Conference on MEMS, NANO and Smart Systems, ICMENS 2011 - Kuala Lumpur, 马来西亚
持續時間: 十一月 4 2011十一月 6 2011

出版系列

名字Advanced Materials Research
403-408
ISSN(列印)10226680

其他

其他2011 7th International Conference on MEMS, NANO and Smart Systems, ICMENS 2011
國家马来西亚
城市Kuala Lumpur
期間11/4/1111/6/11

ASJC Scopus subject areas

  • Engineering(all)

指紋 深入研究「Automatic recognition of basal cisterns on brain CT」主題。共同形成了獨特的指紋。

引用此