Approximation error method can reduce artifacts due to scalp blood flow in optical brain activation imaging

2012 ◽  
Vol 17 (9) ◽  
pp. 0960121 ◽  
Author(s):  
Juha Heiskala ◽  
Ville Kolehmainen ◽  
Tanja Tarvainen ◽  
Jari. P. Kaipio ◽  
Simon R. Arridge
2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S198-S198
Author(s):  
Joseph R Meno ◽  
Thien-son K Nguyen ◽  
Elise M Jensen ◽  
G Alexander West ◽  
Leonid Groysman ◽  
...  

2018 ◽  
Vol 4 (12) ◽  
pp. 148 ◽  
Author(s):  
Niko Hänninen ◽  
Aki Pulkkinen ◽  
Tanja Tarvainen

Quantitative photoacoustic tomography is a novel imaging method which aims to reconstruct optical parameters of an imaged target based on initial pressure distribution, which can be obtained from ultrasound measurements. In this paper, a method for reconstructing the optical parameters in a Bayesian framework is presented. In addition, evaluating the credibility of the estimates is studied. Furthermore, a Bayesian approximation error method is utilized to compensate the modeling errors caused by coarse discretization of the forward model. The reconstruction method and the reliability of the credibility estimates are investigated with two-dimensional numerical simulations. The results suggest that the Bayesian approach can be used to obtain accurate estimates of the optical parameters and the credibility estimates of these parameters. Furthermore, the Bayesian approximation error method can be used to compensate for the modeling errors caused by a coarse discretization, which can be used to reduce the computational costs of the reconstruction procedure. In addition, taking the modeling errors into account can increase the reliability of the credibility estimates.


2013 ◽  
Vol 133 (5) ◽  
pp. 3230-3230 ◽  
Author(s):  
Janne Koponen ◽  
Tomi Huttunen ◽  
Tanja Tarvainen ◽  
Jari Kaipio

2005 ◽  
Vol 288 (6) ◽  
pp. R1581-R1588 ◽  
Author(s):  
Michelle Moody ◽  
Ronney B. Panerai ◽  
Penelope J. Eames ◽  
John F. Potter

Cognitive and/or sensorimotor stimulations of the brain induce increases in cerebral blood flow that are usually associated with increased metabolic demand. We tested the hypothesis that changes in arterial blood pressure (ABP) and arterial Pco2 also take place during brain activation protocols designed to induce hemispheric lateralization, leading to a pressure-autoregulatory response in addition to the metabolic-driven changes usually assumed by brain stimulation paradigms. Continuous recordings of cerebral blood flow velocity [CBFV; bilateral, middle cerebral artery (MCA)], ABP, ECG, and end-tidal Pco2 (PetCO2) were performed in 15 right-handed healthy subjects (aged 21–43 yr), in the seated position, at rest and during 10 repeated presentations of a word generation and a constructional puzzle paradigm that are known to induce differential cortical activation. Derived variables included heart rate, cerebrovascular resistance, critical closing pressure, resistance area product, and the difference between the right and left MCA recordings (CBFVR-L). No adaptation of the CBFVR-L difference was detected for the repeated presentation of 10 activation tasks, for either paradigm. During activation with the word generation tasks, CBFV changed by (mean ± SD) 9.0 ± 3.7% (right MCA, P = 0.0007) and by 12.3 ± 7.6% (left MCA, P = 0.0007), ABP by 7.7 ± 6.0 mmHg ( P = 0.0007), heart rate by 7.1 ± 5.3 beats/min ( P = 0.0008), and PetCO2 by −2.32 ± 2.23 Torr ( P = 0.002). For the puzzle paradigm, CBFV changed by 13.9 ± 6.6% (right MCA, P = 0.0007) and by 11.5 ± 6.2% (left MCA, P = 0.0007), ABP by 7.1 ± 8.4 mmHg ( P = 0.0054), heart rate by 7.9 ± 4.6 beats/min ( P = 0.0008), and PetCO2 by −2.42 ± 2.59 Torr ( P = 0.001). The word paradigm led to greater left hemispheric dominance than the right hemispheric dominance observed with the puzzle paradigm ( P = 0.004). We concluded that significant changes in ABP and PetCO2 levels occur during brain activation protocols, and these contribute to the evoked change in CBFV. A pressure-autoregulatory response can be observed in addition to the hemodynamic changes induced by increases in metabolic demand. Simultaneous changes in Pco2 and heart rate add to the complexity of the response, indicating the need for more detailed modeling and better understanding of brain activation paradigms.


2002 ◽  
Vol 92 (3) ◽  
pp. 1317-1324 ◽  
Author(s):  
J. W. Williamson ◽  
R. McColl ◽  
D. Mathews ◽  
J. H. Mitchell ◽  
P. B. Raven ◽  
...  

The purpose was to compare patterns of brain activation during imagined handgrip exercise and identify cerebral cortical structures participating in “central” cardiovascular regulation. Subjects screened for hypnotizability, five with higher (HH) and four with lower hypnotizability (LH) scores, were tested under two conditions involving 3 min of 1) static handgrip exercise (HG) at 30% of maximal voluntary contraction (MVC) and 2) imagined HG (I-HG) at 30% MVC. Force (kg), forearm integrated electromyography, rating of perceived exertion, heart rate (HR), mean blood pressure (MBP), and differences in regional cerebral blood flow distributions were compared using an ANOVA. During HG, both groups showed similar increases in HR (+13 ± 5 beats/min) and MBP (+17 ± 3 mmHg) after 3 min. However, during I-HG, only the HH group showed increases in HR (+10 ± 2 beats/min; P < 0.05) and MBP (+12 ± 2 mmHg; P < 0.05). There were no significant increases or differences in force or integrated electromyographic activity between groups during I-HG. The rating of perceived exertion was significantly increased for the HH group during I-HG, but not for the LH group. In comparison of regional cerebral blood flow, the LH showed significantly lower activity in the anterior cingulate (−6 ± 2%) and insular cortexes (−9 ± 4%) during I-HG. These findings suggest that cardiovascular responses elicited during imagined exercise involve central activation of insular and anterior cingulate cortexes, independent of muscle afferent feedback; these structures appear to have key roles in the central modulation of cardiovascular responses.


1998 ◽  
Vol 39 (6) ◽  
pp. 855-864 ◽  
Author(s):  
Richard B. Buxton ◽  
Eric C. Wong ◽  
Lawrence R. Frank
Keyword(s):  

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