A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans

Jiamin Liu; Karthik Chellamuthu; Le Lu; Mohammadhadi Bagheri; Ronald M. Summers

doi:10.1117/12.2295972

27 February 2018 A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans

Jiamin Liu, Karthik Chellamuthu, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers

Proceedings Volume 10575, Medical Imaging 2018: Computer-Aided Diagnosis; 105753B (2018) https://doi.org/10.1117/12.2295972
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

Pericardial effusion on CT scans demonstrates very high shape and volume variability and very low contrast to adjacent structures. This inhibits traditional automated segmentation methods from achieving high accuracies. Deep neural networks have been widely used for image segmentation in CT scans. In this work, we present a two-stage method for pericardial effusion localization and segmentation. For the first step, we localize the pericardial area from the entire CT volume, providing a reliable bounding box for the more refined segmentation step. A coarse-scaled holistically-nested convolutional networks (HNN) model is trained on entire CT volume. The resulting HNN per-pixel probability maps are then threshold to produce a bounding box covering the pericardial area. For the second step, a fine-scaled HNN model is trained only on the bounding box region for effusion segmentation to reduce the background distraction. Quantitative evaluation is performed on a dataset of 25 CT scans of patient (1206 images) with pericardial effusion. The segmentation accuracy of our two-stage method, measured by Dice Similarity Coefficient (DSC), is 75.59±12.04%, which is significantly better than the segmentation accuracy (62.74±15.20%) of only using the coarse-scaled HNN model.

Citation Download Citation

Jiamin Liu, Karthik Chellamuthu, Le Lu, Mohammadhadi Bagheri, and Ronald M. Summers "A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans", Proc. SPIE 10575, Medical Imaging 2018: Computer-Aided Diagnosis, 105753B (27 February 2018); https://doi.org/10.1117/12.2295972

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available