Incremental refinement method for 3D visualization of ultrasonic images

Feng Lin; Seah Hock Soon; Lee Yong Tsui; Chong Man Nang; Daniel H. Tan; David Flyn; Peter Mack

doi:10.1117/12.205957

7 April 1995 Incremental refinement method for 3D visualization of ultrasonic images

Feng Lin, Seah Hock Soon, Lee Yong Tsui, Chong Man Nang, Daniel H. Tan, David Flyn, Peter Mack

Proceedings Volume 2410, Visual Data Exploration and Analysis II; (1995) https://doi.org/10.1117/12.205957
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

Compared with other medical imaging modalities, ultrasonic imaging has its advantages of safety, low cost, and very importantly, real-time performance in data acquisition. To match the real-time data acquisition, interactivity is considered as one of the crucial characteristics for 3D ultrasonic imaging systems. This paper proposes an incremental refinement method in a multi-process system with an eye on ultimately running real-time 3D ultrasonic imaging applications. We use deformable geometric models as templates of the target biomedical objects. With a matching and refining procedure, the geometric data will be incrementally refined on the arrival of each injected boundary from 2D ultrasonic slice. All the data processing tasks are distributed to a set of processes which are connected in a graphic environment. Each process incrementally reads the data received from its upstream and produces new data for its downstream. By simultaneously running different processes, the system gradually transforms the 3D templates to match the detected ultrasonic images.

Citation Download Citation

Feng Lin, Seah Hock Soon, Lee Yong Tsui, Chong Man Nang, Daniel H. Tan, David Flyn, and Peter Mack "Incremental refinement method for 3D visualization of ultrasonic images", Proc. SPIE 2410, Visual Data Exploration and Analysis II, (7 April 1995); https://doi.org/10.1117/12.205957

ACCESS THE FULL ARTICLE

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