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
—