Mr. Erik Vidholm Profile

Erik Vidholm

at Uppsala Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 17 March 2008 Paper

Accurate and reproducible semi-automatic liver segmentation using haptic interaction

Erik Vidholm, Milan Golubovic, Sven Nilsson, Ingela Nyström

Proceedings Volume 6918, 69182Q (2008) https://doi.org/10.1117/12.769864

KEYWORDS: Image segmentation, Liver, Haptic technology, 3D modeling, Visualization, Computed tomography, Fuzzy logic, Surgery, Data modeling, Image analysis

Read Abstract +

In this work, we describe and evaluate a semi-automatic method for liver segmentation in CT images using a 3D interface with haptic feedback and stereo graphics. Recently, we reported our fast semi-automatic method using fast marching segmentation. Four users performed initialization of the method for 52 datasets by manually drawing seed-regions directly in 3D using the haptic interface. Here, we evaluate our segmentation method by computing accuracy based on newly obtained manual delineations by two radiologists for 23 datasets. We also show that by performing subsequent segmentation with an interactive deformable model, we can increase segmentation accuracy. Our method shows high reproducibility compared to manual delineation. The mean precision for the manual delineation is 89%, while it is 97% for the fast marching method. With the subsequent deformable mesh segmentation, we obtain a mean precision of 98%. To assess accuracy, we construct a fuzzy ground truth by averaging the manual delineations. The mean sensitivity for the fast marching segmentation is 93% and the specificity is close to 100%. When we apply deformable model segmentation, we obtain a sensitivity increase of three percentage points while the high specificity is maintained. The mean interaction time for the deformable model segmentation is 1.5 minutes. We present a fully 3D liver segmentation method where high accuracy and precision is efficiently obtained via haptic interaction in a 3D user interface. Our method makes it possible to avoid time-consuming manual delineation, which otherwise is a common option prior to, e.g., hepatic surgery planning.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years