PMID- 17433760
OWN - NLM
STAT- MEDLINE
DCOM- 20070913
LR  - 20151119
IS  - 1361-8415 (Print)
IS  - 1361-8415 (Linking)
VI  - 11
IP  - 3
DP  - 2007 Jun
TI  - Classification of hemodynamics from dynamic-susceptibility-contrast magnetic 
      resonance (DSC-MR) brain images using noiseless independent factor analysis.
PG  - 242-53
AB  - Dynamic-susceptibility-contrast (DSC) magnetic resonance imaging records signal 
      changes on images when the injected contrast-agent particles pass through a human 
      brain. The temporal signal changes on different brain tissues manifest distinct 
      blood-supply patterns which are vital for the profound analysis of cerebral 
      hemodynamics. Under the assumption of the spatial independence among these 
      patterns, noiseless independent factor analysis (IFA) was first applied to 
      decompose the DSC-MR data into different independent-factor images with 
      corresponding signal-time curves. A major tissue type, such as artery, gray 
      matter, white matter, vein, sinus, and choroid plexus, etc., on each 
      independent-factor image was further segmented out by an optimal threshold. Based 
      on the averaged signal-time curve on the arterial area, the cerebral hemodynamic 
      parameters, such as relative cerebral blood volume (rCBV), relative cerebral 
      blood flow (rCBF), and mean transit time (MTT), were computed and their averaged 
      ratios between gray matter and white matter for normal subjects were in good 
      agreement with those in the literature. Data of a stenosis patient before and 
      after treatment were analyzed and the result illustrates that this method is 
      effective in extracting spatiotemporal blood-supply patterns which improves 
      differentiation of pathological and non-pathological hemodynamics.
FAU - Chou, Yen-Chun
AU  - Chou YC
AD  - Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming 
      University, No. 155, Sec. 2, Li-Nong St., Pei-Tou, Taipei 112, Taiwan, ROC.
FAU - Teng, Michael Mu Huo
AU  - Teng MM
FAU - Guo, Wan-Yuo
AU  - Guo WY
FAU - Hsieh, Jen-Chuen
AU  - Hsieh JC
FAU - Wu, Yu-Te
AU  - Wu YT
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20070225
PL  - Netherlands
TA  - Med Image Anal
JT  - Medical image analysis
JID - 9713490
RN  - 0 (Contrast Media)
RN  - 84F6U3J2R6 (gadodiamide)
RN  - K2I13DR72L (Gadolinium DTPA)
SB  - IM
MH  - Adolescent
MH  - Adult
MH  - Algorithms
MH  - Brain/*blood supply
MH  - Brain Mapping/*methods
MH  - *Cerebrovascular Circulation
MH  - Computer Simulation
MH  - Contrast Media
MH  - Factor Analysis, Statistical
MH  - Gadolinium DTPA
MH  - Humans
MH  - Image Processing, Computer-Assisted
MH  - Magnetic Resonance Angiography/*methods
MH  - Middle Aged
MH  - Reference Values
EDAT- 2007/04/17 09:00
MHDA- 2007/09/14 09:00
CRDT- 2007/04/17 09:00
PHST- 2006/01/21 00:00 [received]
PHST- 2007/02/13 00:00 [revised]
PHST- 2007/02/16 00:00 [accepted]
PHST- 2007/04/17 09:00 [pubmed]
PHST- 2007/09/14 09:00 [medline]
PHST- 2007/04/17 09:00 [entrez]
AID - S1361-8415(07)00023-0 [pii]
AID - 10.1016/j.media.2007.02.002 [doi]
PST - ppublish
SO  - Med Image Anal. 2007 Jun;11(3):242-53. doi: 10.1016/j.media.2007.02.002. Epub 
      2007 Feb 25.