Please wait, while we are loading the content...
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Clarke, L.P. Wei Qian |
| Copyright Year | 1998 |
| Description | Author affiliation: Res. Inst., Univ. of South Florida, Tampa, FL, USA (Clarke, L.P.) |
| Abstract | A novel neural network with adaptive fuzzy logic rule is proposed for image restoration as required for quantitative imaging using a nuclear gamma camera. The overall aims is to compensate for image degradation due to photon scattering and photon penetration through the collimated gamma camera to allow more accurate measurement of radiotracers in vivo. In this work, fuzzy rules are generated to train a membership function using a least mean squares (LMS) algorithm. This membership function allows one to describe rules to differentiate gray levels differences, so that the regularizer parameter can be optimally adjusted, based on the fuzzy membership value. The relative performance of this algorithm is compared to a previously reported neural network based hybrid filter by the authors (Wei Qian et al., 1993-8) using both simulated images with different noise levels and experimentally acquired nuclear images using a gamma camera. The improved signal to noise ratio (/spl Delta/SNR) is used for quantitative measurement. The proposed method has proved to be useful in quantitative imaging using a gamma camera for the planar and tomographic imaging mode using single photon emitters, beta emitters (bremsstrahlung detection) and positron 511 keV imaging. |
| Starting Page | 1363 |
| Ending Page | 1366 |
| File Size | 381755 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780351649 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.1998.747133 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-11-01 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptive systems Neural networks Nuclear medicine Optical imaging Cameras Fuzzy logic Image restoration Degradation Electromagnetic scattering Particle scattering |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
| 5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
| 6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
| 7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
| 8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
|
Loading...
|