Dr. Chan H. Kim Profile

Dr. Chan H. Kim

at Hanyang 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 | 1 April 2024 Presentation + Paper

Random walk small intestine models for virtual patient populations

David Kim, Lavsen Dahal, Joseph Lo, Yeon Soo Yeom, Chan Hyeong Kim, W. Paul Segars

Proceedings Volume 12925, 129251Q (2024) https://doi.org/10.1117/12.3006212

KEYWORDS: Intestine, Anatomy, 3D modeling, Simulations, Computed tomography, Medical imaging

Read Abstract +

We develop the XCAT series of phantoms for medical imaging research. The phantoms model different individuals over various ages, heights, and weights, but a current drawback is they do not include small intestine variability. Each phantom has a small intestine derived from a common anatomical template due to the difficulty of fitting a regular tubular model to patient segmentations. Building upon previous work, we develop a software pipeline to add realistic variability in the phantoms by generating tubular small intestine surface models with random length and diameter fit within the constraints of a given intestine segmentation. The pipeline first alpha wraps a given segmentation into a 3D mesh. Using a random walk algorithm, a path is then constructed within the constraints of the surface mesh while avoiding both path and surface collisions given a set diameter, start point, and end point that bounds the random walk of the passage line. After generating the passage line, the program smooths the path by fitting a cubic spline curve to it. A cubic NURBS cylinder is lofted along the path to create an initial target model. The cylinder is then grown radially, avoiding self-intersection and bounded by the mesh surface, to achieve a user-defined volume. The pipeline was tested on 45 sets of patient CT data. From the results, we find we can generate variable mean passage lengths and mean diameters within realistic ranges found for the general population.

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