Mr. Sanath K. Nadiger Profile

Sanath K. Nadiger

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 Presentation + Paper

An improved freehand 3D-ultrasound volume reconstruction technique for fast scans with scanline motion correction

Aparna Harindranath, Satvika Bharadwaj, Komal Nikhil Shah, Sanath Kumar Nadiger, Kajoli Krishnan, Manish Arora

Proceedings Volume 11602, 1160213 (2021) https://doi.org/10.1117/12.2582139

KEYWORDS: Visualization, 3D imaging standards, Transducers, Sensors, Quantitative analysis, Image visualization, Image analysis, Edge detection

Read Abstract +

Freehand 3D-ultrasound imaging using a 2D-ultrasound probe with attached position and orientation(pose) sensor is a cost-effective 3D-imaging modality. The standard method of 3D-reconstruction involves stacking the 2D-image slices in their appropriate position and orientations in the region swept by the probe. A single 2D-image is obtained by sequentially exciting the multiple elements of an array transducer probe. Standard 3D-reconstruction assumes that all the scanlines of a single frame are acquired concurrently. This assumption limits the speed of the scan required with accurate volume reconstruction. For correcting imperfections in reconstructed volume due to fast probe-motion, this paper proposes a new scanline-based 3D-volume reconstruction. This method corrects the placement and orientation of each scanline, such that the 'fast' probe motion does not distort the reconstructed volume. The improved performance of the proposed reconstruction method compared to standard plane-based reconstruction is demonstrated with scans performed with a convex probe on imaging phantoms. An anechoic cylindrical inclusion in a cube-shaped phantom is visualized using both reconstruction methods and visually compared to a reference image. Reference image of inclusion is reconstructed from a slow scan. For quantitative analysis, edge detected inclusions from images of the reconstructed volumes are compared with that of the corresponding reference image. The Dice coefficient of the inclusion with the proposed scanline-based reconstruction with the reference image is on an average 83% higher than that of the standard method.

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