-
Something wrong with this record ?
Automated infarction core delineation using cerebral and perfused blood volume maps
P. Maule, J. Klečková, V. Rohan, R. Tupý,
Language English Country Germany
Document type Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Blood Volume * MeSH
- Humans MeSH
- Brain physiopathology radiography MeSH
- Brain Infarction diagnosis physiopathology MeSH
- Cerebrovascular Circulation physiology MeSH
- Tomography, X-Ray Computed methods MeSH
- Regional Blood Flow physiology MeSH
- Software * MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
PURPOSE: Thrombolytic therapy in patients with acute ischemic stroke is contraindicated when the infarction core exceeds a given threshold. To date, there are no standardized guidelines for computed tomography infarction core assessment. Current practice involves use of thresholding methods, where the results are further adjusted by an experienced physician. An automated method for infarction core delineation and volume measurement was developed and tested. MATERIALS AND METHODS: CT postprocessing software was developed for analysis of whole brain perfused blood volume (PBV) and cerebral blood volume (CBV) maps. The program was designed for potential use with mean transit time (MTT) or cerebral blood flow (CBF) maps. The proposed method was tested on a set of 12 patients on both PBV and CBV maps with whole brain coverage by comparison with the results of a simple thresholding method and with manually marked findings provided by two independent physicians. RESULTS: The proposed method produced a marked infarct core volume corresponding to 53 % of the manually delineated volumes. The simple thresholding method with the optimal threshold, using the same dataset, marked 15[Formula: see text] larger volume compared to the volume delineated by physicians. CONCLUSION: An automated infarction core segmentation method based on local neighborhood features was developed and tested, demonstrating its utility in distinguishing between infarcted and non-infarcted areas, as well as reduction in the number of false positives and volume error.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc14074765
- 003
- CZ-PrNML
- 005
- 20141112094234.0
- 007
- ta
- 008
- 141006s2013 gw f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1007/s11548-013-0815-9 $2 doi
- 035 __
- $a (PubMed)23371252
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a gw
- 100 1_
- $a Maule, Petr $u Department of Computer Science and Engineering, University of West Bohemia, Univerzitní 22, 306 14, Pilsen, Czech Republic, pmaule@kiv.zcu.cz.
- 245 10
- $a Automated infarction core delineation using cerebral and perfused blood volume maps / $c P. Maule, J. Klečková, V. Rohan, R. Tupý,
- 520 9_
- $a PURPOSE: Thrombolytic therapy in patients with acute ischemic stroke is contraindicated when the infarction core exceeds a given threshold. To date, there are no standardized guidelines for computed tomography infarction core assessment. Current practice involves use of thresholding methods, where the results are further adjusted by an experienced physician. An automated method for infarction core delineation and volume measurement was developed and tested. MATERIALS AND METHODS: CT postprocessing software was developed for analysis of whole brain perfused blood volume (PBV) and cerebral blood volume (CBV) maps. The program was designed for potential use with mean transit time (MTT) or cerebral blood flow (CBF) maps. The proposed method was tested on a set of 12 patients on both PBV and CBV maps with whole brain coverage by comparison with the results of a simple thresholding method and with manually marked findings provided by two independent physicians. RESULTS: The proposed method produced a marked infarct core volume corresponding to 53 % of the manually delineated volumes. The simple thresholding method with the optimal threshold, using the same dataset, marked 15[Formula: see text] larger volume compared to the volume delineated by physicians. CONCLUSION: An automated infarction core segmentation method based on local neighborhood features was developed and tested, demonstrating its utility in distinguishing between infarcted and non-infarcted areas, as well as reduction in the number of false positives and volume error.
- 650 12
- $a krevní objem $7 D001810
- 650 _2
- $a mozek $x patofyziologie $x radiografie $7 D001921
- 650 _2
- $a mozkový infarkt $x diagnóza $x patofyziologie $7 D020520
- 650 _2
- $a mozkový krevní oběh $x fyziologie $7 D002560
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a regionální krevní průtok $x fyziologie $7 D012039
- 650 12
- $a software $7 D012984
- 650 _2
- $a počítačová rentgenová tomografie $x metody $7 D014057
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Klečková, Jana
- 700 1_
- $a Rohan, Vladimír
- 700 1_
- $a Tupý, Radek
- 773 0_
- $w MED00184797 $t International journal of computer assisted radiology and surgery $x 1861-6429 $g Roč. 8, č. 5 (2013), s. 787-97
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/23371252 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20141006 $b ABA008
- 991 __
- $a 20141112094248 $b ABA008
- 999 __
- $a ok $b bmc $g 1042648 $s 873677
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2013 $b 8 $c 5 $d 787-97 $i 1861-6429 $m International journal of computer assisted radiology and surgery $n Int J Comput Assist Radiol Surg $x MED00184797
- LZP __
- $a Pubmed-20141006