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Model-based Extraction of Input and Organ Functions in Dynamic Medical Imaging

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F13%3A00208567" target="_blank" >RIV/68407700:21340/13:00208567 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985556:_____/13:00397761 RIV/00216208:11110/14:10287250 RIV/00064165:_____/14:10287250

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Model-based Extraction of Input and Organ Functions in Dynamic Medical Imaging

  • Original language description

    Availability of input and organ functions is a prerequisite for analysis of dynamic image sequences in scintigraphy and positron emission tomography (PET) via kinetic models. This task is typically done manually by a human operator who may be unreliable.We propose a probabilistic model based on physiological assumption that time-activity curves (TACs) arise as a convolution of an input function and organ-specific kernels. The model is solved via the Variational Bayes estimation procedure and provides estimates of the organ images, the TACs, and the input function as results. The ability of the resulting algorithm to extract the input function is tested on data from dynamic renal scintigraphy. The estimated input function was compared with the common estimate based on manual selection of the heart ROI. The method was applied to the problem of relative renal function estimation and the results are compared with competing techniques. Results of comparison on a dataset of 99 patients demo

  • 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

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Computational Vision and Medical Image Processing (VipIMAGE 2013)

  • ISBN

    978-1-138-00081-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    75-80

  • Publisher name

    CRC Press/Balkema

  • Place of publication

    Leiden

  • Event location

    Funchal

  • Event date

    Oct 14, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article