| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0376737 |
| utime |
20240103200845.9 |
| mtime |
20120511235959.9 |
| WOS |
000312384100040 |
| DOI |
10.1109/ISBI.2012.6235508 |
| title
(primary) (eng) |
Automatic Regions of Interest in Factor Analysis for Dynamic Medical Imaging |
| specification |
| page_count |
4 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0376736 |
| ISBN |
978-1-4577-1858-8 |
| title
|
Proceedings of 2012 IEEE International Symposium on Biomedical Imaging |
| page_num |
158-161 |
| publisher |
| place |
Barcelona, Spain |
| name |
IEEE |
| year |
2012 |
|
|
| keyword |
Blind Source Separation |
| keyword |
Dynamic Medical Imaging |
| keyword |
Factor Analysis |
| keyword |
Regions of Interest |
| keyword |
Renal Scintigraphy |
| author
(primary) |
| ARLID |
cav_un_auth*0101207 |
| name1 |
Šmídl |
| name2 |
Václav |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0267768 |
| name1 |
Tichý |
| name2 |
Ondřej |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
302710 |
| agency |
GA UK |
| country |
CZ |
| ARLID |
cav_un_auth*0280958 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
Factor Analysis (FA) is a well established method for factors separation in analysis of dynamic medical imaging. However, its assumptions are valid only in limited regions of interest (ROI) in the images which must be selected manually or using heuristics. The resulting quality of separation is sensitive to the choice of these ROI. We propose a new probabilistic model for functional analysis with inherent estimation of probabilistic ROI. The model is solved using the Variational Bayes method which provides also automatic relevance determination of the estimated factors. Performance of the method is demonstrated on data from renal scintigraphy, where a significant improvement is achieved. Since there are no scintigraphy-related assumptions, the method can be used in any other imaging modality. |
| action |
| ARLID |
cav_un_auth*0280957 |
| name |
2012 IEEE International Symposium on Biomedical Imaging |
| place |
Barcelona |
| dates |
02.05.2012-05.05.2012 |
| country |
ES |
|
| reportyear |
2013 |
| RIV |
BB |
| presentation_type |
PO |
| permalink |
http://hdl.handle.net/11104/0209064 |
| mrcbC86 |
n.a. Proceedings Paper Engineering Electrical Electronic|Radiology Nuclear Medicine Medical Imaging |
| arlyear |
2012 |
| mrcbU34 |
000312384100040 WOS |
| mrcbU63 |
cav_un_epca*0376736 Proceedings of 2012 IEEE International Symposium on Biomedical Imaging 978-1-4577-1858-8 158 161 Proceedings of 2012 IEEE International Symposium on Biomedical Imaging Barcelona, Spain IEEE 2012 |
|