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Obrazowanie perfuzji mózgu z wykorzystaniem modelowania parametrycznego danych DSC-MRI

Kalicka R., Pietrenko-Dąbrowska A., Nowicki A., Lipiński S.

Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej. Technologie Informacyjne

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2008

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T. 15

177-182

PL

Pomiary DSC-MRI (Dynamic Susecptibility Contrast Magnetic Resonance Imaging) zostały wykorzystane w pracy do estymacji parametrów perfuzji mózgu: przepływu krwi mózgowej (cerebral blood flow, CBF), objętości krwi mózgowej (cerebral blood volume, CBV) oraz średniego czasu przejścia (mean transit time, MIT). Zaproponowano model trzykompartmentowy. Przedstawiono i porównano dwa podejścia do identyfikacji modelu na pod-stawie danych pomiarowych MRI różniące się metodą identyfikacji mikroparametrów modelu. Utworzono i porównano obrazy parametryczne parametrów perfuzji CBF, CBV i MTT oraz mikroparametrów modelu.

EN

In the paper dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) measurements are used for estimation of brain perfusion parameters: cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT). The three-compartmental model is proposed. Two approaches to the model identification of MRI data are presented and compared. The difference between the two approaches consists in the method the model microparameters are identified. For both the approaches the perfusion parameters are calculated on the base of the calculated model microparameters. Then parametric images of CBF, CB V and MTT and of model microparameters are created and compared.

2

The unified algorithm for detection of potential lesions in dynamic perfusion maps cerebral blood flow, cerebral blood volume and time to peek

Hachaj T.

Journal of Medical Informatics & Technologies

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2008

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Vol. 12

117--122

EN

This paper presents an unified algorithm that enables detection of lesions in cerebral blood flow (CBF), cerebral blood volume (CBV) and time to peek (TTP) perfusion maps. The algorithm has one adaptive parameter for each type of perfusion map, the rest of algorithm is common for all kinds of perfusion images. There are two steps of the algorithm: in the first step the algorithm detects symmetry axis of a perfusion map (between left and right hemisphere), in the second stage the level of asymmetry in cerebral blood flow, cerebral blood volume or time to peak is measured by detection of regions with different perfusion in both brain hemispheres. Test of the algorithm were performed on a set of 84 different CBF, CBV and TTP images showing or not cerebral blood flow and volume anomalies. The algorithm presented in this publication has achieved satisfactory results. On 85,7% maps asymmetry regions was properly detected.

3

An algorithm for detecting lesions in CBF and CBV perfusion maps

Hachaj T.

Bio-Algorithms and Med-Systems

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2008

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Vol. 4, no. 7

35--41

EN

This paper presents an algorithm that enables detection of lesions in CBF and CBV perfusion maps. There are two steps of the algorithm: at the first step the algorithm detects symmetry axis of an image (between left and right hemisphere), in the second stage the level of asymmetry in cerebral blood flow and cerebral blood volume is measured by detection of regions with different perfusion in both brain hemispheres. Test of the algorithm were performed on a set of 56 different CBF and CBV images showing or not cerebral blood flow and volume anomalies. The paper also describes the method for estimating cerebral blood flow with a non diffusing contrast agent based on the Meier - Zierler convolution model as well as CBF, CBV, MTT and TTP perfusion maps.