Model-based esophagus segmentation from CT scans using a spatial probability map

Feulner J, Zhou SK, Huber M, Hornegger J, Comaniciu D, Cavallaro AJ (2010)

Publication Type: Book chapter / Article in edited volumes

Publication year: 2010

Journal

Lecture Notes in Computer Science Springer Verlag

Original Authors: Feulner J., Kevin Zhou S., Huber M., Cavallaro A., Hornegger J., Comaniciu D.

Publisher: Springer-verlag

Edited Volumes: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010

Series: MICCAI 2010, Lecture Notes in Computer Science, LNCS

City/Town: Heidelberg

Book Volume: 6361

Pages Range: 95-102

Event location: Beijing

Journal Issue: null

ISBN: 978-3-642-15704-2

DOI: 10.1007/978-3-642-15705-9_12

Abstract

Automatic segmentation of the esophagus from CT data is a challenging problem. Its wall consists of muscle tissue, which has low contrast in CT. Sometimes it is filled with air or remains of orally given contrast agent. While air holes are a clear hint to a human when searching for the esophagus, we found that they are rather distracting to discriminative models of the appearance because of their similarity to the trachea and to lung tissue. However, air inside the respiratory organs can be segmented easily. In this paper, we propose to combine a model based segmentation algorithm of the esophagus with a spatial probability map generated from detected air. Threefold cross-validation on 144 datasets showed that this probability map, combined with a technique that puts more focus on hard cases, increases accuracy by 22%. In contrast to prior work, our method is not only automatic on a manually selected region of interest, but on a whole thoracic CT scan, while our mean segmentation error of 1.80mm is even better. © 2010 Springer-Verlag.

Authors with CRIS profile

Johannes Feulner Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Joachim Hornegger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Alexander Josef Cavallaro Institute of Radiology

Involved external institutions

Siemens Corporate Research US United States (USA) (US) Siemens AG, Sector Corporate Technology DE Germany (DE)

How to cite

APA:

Feulner, J., Zhou, S.K., Huber, M., Hornegger, J., Comaniciu, D., & Cavallaro, A.J. (2010). Model-based esophagus segmentation from CT scans using a spatial probability map. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. (pp. 95-102). Heidelberg: Springer-verlag.

MLA:

Feulner, Johannes, et al. "Model-based esophagus segmentation from CT scans using a spatial probability map." Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. Heidelberg: Springer-verlag, 2010. 95-102.

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