TY - PAT T1 - Systems and methods for segmenting an organ in a plurality of images Y1 - 2008 A1 - Márta Fidrich A1 - Géza Makay A1 - Eörs Máté A1 - Emese Balogh A1 - Attila Kuba A1 - László Gábor Nyúl A1 - Judit Kanyó CY - Amerikai Egyesült Államok VL - US20040858241 IS - US7388973 ER - TY - CHAP T1 - Method for Automatically Segmenting the Spinal Cord and Canal from 3D CT Images T2 - Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), 29th workshop of the Austrian Association for Pattern Reco Y1 - 2005 AB - We present two approaches for automatically segmenting thespinal cord/canal from native CT images of the thorax region containing the spine. Different strategies are included to handle images where only part of the spinal column is visible. The algorithms require one seed point given on a slice located in the middle region of the spine, and the rest is automatic. The spatial extent of the spinal cord/canal is determined automatically using anatomical information for segmenting the spinal canal while active contours are applied if the spinal cord is to be segmented. Both methods work in 2D and use propagated information from neighboring slices. They are also very rapid in execution, that means an efficient, user-friendly workflow. The methods were evaluated by radiologists and were found to be useful and met the accuracy and repeatability requirements for the particular task. JF - Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), 29th workshop of the Austrian Association for Pattern Reco PB - OCG CY - Vienna ER - TY - CHAP T1 - Method for automatically segmenting the spinal cord and canal from 3D CT images T2 - Computer Analysis of Images and Patterns Y1 - 2005 JF - Computer Analysis of Images and Patterns PB - Springer-Verlag CY - Berlin; Heidelberg N1 - UT: 000232301200056 ER -