title: Right Ventricle Extraction by Low level and Model-based algorithm.
abstract: In this paper we present an algorithm as the combination of a low level morphological operation and model based global circular shortest path scheme to explore the segmentation of the right ventricle. Traditional morphological operations were employed to obtain the region of interest, and adjust it to generate a mask. The image cropped by the mask is then partitioned into a few overlapping regions. Global circular shortest path algorithm is then applied to extract the contour from each partition. The final step is to re-assemble the partitions to create the whole contour. The technique is deemed quite reliable and robust, as this is illustrated by a very good agreement between the extracted contour and the expert manual drawing output.
authors.affiliation: Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., St. Lucia, Qld.
authors.forename: Nianjun
authors.initials: N
authors.lastname: Liu
authors.forename: Wendy
authors.initials: W
authors.lastname: Strugnell
authors.forename: Richard
authors.initials: R
authors.lastname: Slaughter
authors.forename: Robyn
authors.initials: R
authors.lastname: Riley
authors.forename: Stuart
authors.initials: S
authors.lastname: Crozier
authors.forename: Stephen
authors.initials: S
authors.lastname: Wilson
authors.forename: Feng
authors.initials: F
authors.lastname: Liu
authors.forename: Ben
authors.initials: B
authors.lastname: Appleton
authors.forename: Adnan
authors.initials: A
authors.lastname: Trakic
authors.forename: Qing
authors.initials: Q
authors.lastname: Wei