All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F14%3A00221052" target="_blank" >RIV/68407700:21340/14:00221052 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985556:_____/14:00433424

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods

  • Original language description

    Image-based definition of regions of interest is a typical prerequisite step for estimation of time-activity curves in dynamic positron emission tomography (PET). This procedure is done manually by a human operator and therefore suffers from subjective errors. Another such problem is to estimate the input function. It can be measured from arterial blood or it can be searched for a vascular structure on the images which is hard to be done, unreliable, and often impossible. In this study, we focus on blind source separation methods with no needs of manual interaction. Recently, we developed sparse blind source separation and deconvolution (S-BSS-vecDC) method for separation of original sources from dynamic medical data based on probability modeling and Variational Bayes approximation methodology. We apply the methods on dynamic brain PET data and application and comparison of our S-BSS-vecDC algorithm with those of similar assumptions are given. The S-BSS-vecDC algorithm is publicly avai

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-29225S" target="_blank" >GA13-29225S: Image Blind Deconvolution in Demanding Conditions</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    The 2014 7th International Conference on BioMedical Engineering and Informatics

  • ISBN

    978-1-4799-5837-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    244-249

  • Publisher name

    IEEE

  • Place of publication

    Beijing

  • Event location

    Dalian

  • Event date

    Oct 14, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article