Mr. Keyur Shah Profile

Keyur Shah

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 | 15 February 2021 Poster + Presentation + Paper

Improving deformable image registration accuracy using a hybrid similarity metric for adaptive radiation therapy

Keyur Shah, James Shackleford, Nagarajan Kandasamy, Gregory Sharp

Proceedings Volume 11596, 115963H (2021) https://doi.org/10.1117/12.2582164

KEYWORDS: Image registration, Radiotherapy, Image segmentation, Computed tomography, Prostate, Medical imaging, Rectum, Imaging technologies, Image processing algorithms and systems, Bladder

Read Abstract +

Adaptive radiation therapy uses deformable image registration to warp the dose from the planning computed tomography (CT) image to the daily cone-beam CT (CBCT) image acquired using the onboard volumetric imaging. Image quality of this CBCT image is usually inferior due to poor soft-tissue contrast of organs such as the prostate, causing registration algorithms to underperform in terms of accuracy. To alleviate this problem, we develop a hybrid image-similarity cost function that incorporates a point-to-distance map (PD) metric as one of its components. Given a pair of segmented images, structures on the fixed image are represented as sets of points while structures on the moving image are described as distance maps. The total distance of all fixed points to their associated boundaries on the moving image constitutes the PD metric, which is combined with the more traditional intensity similarity metric between the fixed and moving images. In this work, we use cubic B-splines as the registration transform. Our approach is validated using the pelvic reference dataset wherein the prostate, bladder, and rectum are manually contoured from the CT and CBCT images by a medical expert to obtain the segmented fixed and moving images. Accuracy of the deformable registration is quantified using the Dice Similarity Coefficient (DSC) and 95% Hausdorff Distance (95% HD), with and without the PD metric. Results demonstrate much improved overlap between the fixed and warped contours once the PD metric is applied. Moreover, the computational overhead associated with adding the PD metric is minimal.

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