TY - GEN
T1 - Reducing over- and undersegmentations of the liver in computed tomographies using anatomical knowledge
AU - Laura, Cristina Oyarzun
AU - Oelmann, S.
AU - Drechsler, K.
AU - Wesarg, S.
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - In the last decades several liver segmentation methods have been proposed. The proposed methods go from region growing to the more complex statistical shape models. Despite the robustness of those algorithms, liver segmentation is still a challenging task especially in areas in which its neighboring organs have similar intensities, e.g., heart and ribcage. In addition to this, pathological organs that contain tumors near their surface present additional difficulties. This paper presents a solution to increase the accuracy of those algorithms in the aforementioned areas. The effect of the improvement using the generated heart and ribcage walls (7% and 1% respectively) is evaluated on 9 clinical computer tomographies (CT). The improvement (12%) when tumors are near the surface, on the contrary, is tested on 7 clinical CT images.
AB - In the last decades several liver segmentation methods have been proposed. The proposed methods go from region growing to the more complex statistical shape models. Despite the robustness of those algorithms, liver segmentation is still a challenging task especially in areas in which its neighboring organs have similar intensities, e.g., heart and ribcage. In addition to this, pathological organs that contain tumors near their surface present additional difficulties. This paper presents a solution to increase the accuracy of those algorithms in the aforementioned areas. The effect of the improvement using the generated heart and ribcage walls (7% and 1% respectively) is evaluated on 9 clinical computer tomographies (CT). The improvement (12%) when tumors are near the surface, on the contrary, is tested on 7 clinical CT images.
KW - Liver
KW - Oversegmentation
KW - Segmentation
UR - http://www.scopus.com/inward/record.url?scp=84968626555&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-32703-7_75
DO - 10.1007/978-3-319-32703-7_75
M3 - Conference contribution
AN - SCOPUS:84968626555
SN - 9783319327013
T3 - IFMBE Proceedings
SP - 382
EP - 387
BT - XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016
A2 - Kyriacou, Efthyvoulos
A2 - Christofides, Stelios
A2 - Pattichis, Constantinos S.
PB - Springer Verlag
T2 - 14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016
Y2 - 31 March 2016 through 2 April 2016
ER -