講演抄録/キーワード |
講演名 |
2009-01-21 10:30
[招待講演]Computer-aided Detection of CT Colonography ○Se Hyung Kim(Seoul National Univ. Hospital) MI2008-160 |
抄録 |
(和) |
Computer-aided detection (CAD) for CT colonography is an automated process that detects configurations of the colon wall that might represent polyps. It is a method that has the potential to increase the diagnostic performance of radiologists in detecting polyps and cancers at CTC and to decrease the inter- or intra-observer variability of diagnostic accuracy among readers without significantly increasing the reading time. Preliminary studies have demonstrated that CAD programs are capable of identifying some polyps missed by CTC readers, but at the expense of false-positive findings. Such studies indicate that CAD has the potential to reduce perceptual errors with a relatively low false-positive rate, but further improvements in technology are required. Some of the current challenges faced by CAD researchers are optimizing the trade-off between sensitivity and specificity, establishing a strategy for reading paradigm, developing programs that detect polyps in patients who have undergone stool and fluid tagging, developing other algorithms that are tuned to detect flat polyps or cancers, and insuring that the programs are robust even when ultra-low radiation dose CTC techniques are used. |
(英) |
Computer-aided detection (CAD) for CT colonography is an automated process that detects configurations of the colon wall that might represent polyps. It is a method that has the potential to increase the diagnostic performance of radiologists in detecting polyps and cancers at CTC and to decrease the inter- or intra-observer variability of diagnostic accuracy among readers without significantly increasing the reading time. Preliminary studies have demonstrated that CAD programs are capable of identifying some polyps missed by CTC readers, but at the expense of false-positive findings. Such studies indicate that CAD has the potential to reduce perceptual errors with a relatively low false-positive rate, but further improvements in technology are required. Some of the current challenges faced by CAD researchers are optimizing the trade-off between sensitivity and specificity, establishing a strategy for reading paradigm, developing programs that detect polyps in patients who have undergone stool and fluid tagging, developing other algorithms that are tuned to detect flat polyps or cancers, and insuring that the programs are robust even when ultra-low radiation dose CTC techniques are used. |
キーワード |
(和) |
CT colonography / Computer-aided detection / Colon / Polyp / / / / |
(英) |
CT colonography / Computer-aided detection / Colon / Polyp / / / / |
文献情報 |
信学技報, vol. 108, no. 385, MI2008-160, pp. 453-453, 2009年1月. |
資料番号 |
MI2008-160 |
発行日 |
2009-01-12 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
MI2008-160 |