Interface Detection in Diffusion Tensor MRI

Topics:
Healthcare Services
Tags:
Detection,
Productivity,
Springer Science+Business Media
Source:
Springer Science+Business Media

FREE Registration is required

Overview: This paper presents a new method for detecting the interface, or edge, structure present in diffusion MRI. Interface detection is an important first step for applications including segmentation and registration. Additionally, due to the higher dimensionality of tensor data, humans are visually unable to detect edges as easily as in scalar data, so edge detection has potential applications in diffusion tensor visualization. Their method employs the computer vision techniques of local structure filtering and normalized convolution. They detect the edges in the tensor field by calculating a generalized local structure tensor, based on the sum of the outer products of the gradients of the tensor components.

(Is this item miscategorized? Does it need more tags? Let us know.)

Format: PDF | Size: 558KB | Date: Sep 2004 | Pages: 8

Top results from Healthcare Services

Resource Center Protect your patient data and your budget at the same time
White Paper New HIPPA Regulations Require Quick Action By Group Health Plans
White Paper A Common Language Architecture for Health Care
White Paper A Digital Imaging Transformation in Radiology Departments
White Paper Alternative Health Care Models

» View all Healthcare Services listings

advertisement
advertisement
  • Click Here
  • Click Here
  • Click Here
advertisement

Returning users: Log In Here!

Already registered on BNET, TechRepublic, or ZDNet? Simply log in.

Free Membership: Sign Up Now!

Sign up for a free membership today and get instant and unlimited access to one of the largest databases of white papers, webcasts, and casestudies anywhere. Your FREE membership allows you to:

  • Download an unlimited amount of content, including classic and current white papers, case studies, webcasts and more
  • Track content on your chosen topics of interest
  • Receive targeted email alerts when your favorite content is added
  • Save content for future reading
  • Receive our member newsletter

When you register to access this directory, you become a member of BNET. In addition, you allow us to share your information with companies that produce products or services featured in the library--so that such companies may contact you with information and offers regarding their products and services. This enables us to keep the library a free service. As a directory registrant, you will receive a complimentary subscription to the BNET member newsletter, The BNET Report. You can unsubscribe from this newsletter at any time. By clicking the Sign up button, you indicate that you agree to our Terms and Conditions and have read and understand our Privacy Policy (updated).