Imperial College London

DR BERNHARD KAINZ

Faculty of EngineeringDepartment of Computing

Reader in Medical Image Computing
 
 
 
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Contact

 

+44 (0)20 7594 8349b.kainz Website CV

 
 
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Location

 

372Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Meng:2018:10.1007/978-3-030-00807-9_7,
author = {Meng, Q and Baumgartner, C and Sinclair, M and Housden, J and Rajchl, M and Gomez, A and Hou, B and Toussaint, N and Zimmer, V and Tan, J and Matthew, J and Rueckert, D and Schnabel, J and Kainz, B},
doi = {10.1007/978-3-030-00807-9_7},
pages = {66--75},
title = {Automatic shadow detection in 2D ultrasound images},
url = {http://dx.doi.org/10.1007/978-3-030-00807-9_7},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Automatically detecting acoustic shadows is of great importance for automatic 2D ultrasound analysis ranging from anatomy segmentation to landmark detection. However, variation in shape and similarity in intensity to other structures make shadow detection a very challenging task. In this paper, we propose an automatic shadow detection method to generate a pixel-wise, shadow-focused confidence map from weakly labelled, anatomically-focused images. Our method: (1) initializes potential shadow areas based on a classification task. (2) extends potential shadow areas using a GAN model. (3) adds intensity information to generate the final confidence map using a distance matrix. The proposed method accurately highlights the shadow areas in 2D ultrasound datasets comprising standard view planes as acquired during fetal screening. Moreover, the proposed method outperforms the state-of-the-art quantitatively and improves failure cases for automatic biometric measurement.
AU - Meng,Q
AU - Baumgartner,C
AU - Sinclair,M
AU - Housden,J
AU - Rajchl,M
AU - Gomez,A
AU - Hou,B
AU - Toussaint,N
AU - Zimmer,V
AU - Tan,J
AU - Matthew,J
AU - Rueckert,D
AU - Schnabel,J
AU - Kainz,B
DO - 10.1007/978-3-030-00807-9_7
EP - 75
PY - 2018///
SN - 0302-9743
SP - 66
TI - Automatic shadow detection in 2D ultrasound images
UR - http://dx.doi.org/10.1007/978-3-030-00807-9_7
UR - http://hdl.handle.net/10044/1/83316
ER -