Comput Math Methods Med - Theoretical compartment modeling of DCE-MRI data based on the transport across physiological barriers in the brain.

Tópicos

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Resumo

Neurological disorders represent major causes of lost years of healthy life and mortality worldwide. Development of their quantitative interdisciplinary in vivo evaluation is required. Compartment modeling (CM) of brain data acquired in vivo using magnetic resonance imaging techniques with clinically available contrast agents can be performed to quantitatively assess brain perfusion. Transport of (1)H spins in water molecules across physiological compartmental brain barriers in three different pools was mathematically modeled and theoretically evaluated in this paper and the corresponding theoretical compartment modeling of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) data was analyzed. The pools considered were blood, tissue, and cerebrospinal fluid (CSF). The blood and CSF data were mathematically modeled assuming continuous flow of the (1)H spins in these pools. Tissue data was modeled using three CMs. Results in this paper show that transport across physiological brain barriers such as the blood to brain barrier, the extracellular space to the intracellular space barrier, or the blood to CSF barrier can be evaluated quantitatively. Statistical evaluations of this quantitative information may be performed to assess tissue perfusion, barriers' integrity, and CSF flow in vivo in the normal or disease-affected brain or to assess response to therapy.

Resumo Limpo

neurolog disord repres major caus lost year healthi life mortal worldwid develop quantit interdisciplinari vivo evalu requir compart model cm brain data acquir vivo use magnet reson imag techniqu clinic avail contrast agent can perform quantit assess brain perfus transport h spin water molecul across physiolog compartment brain barrier three differ pool mathemat model theoret evalu paper correspond theoret compart model dynam contrast enhanc magnet reson imag dcemri data analyz pool consid blood tissu cerebrospin fluid csf blood csf data mathemat model assum continu flow h spin pool tissu data model use three cms result paper show transport across physiolog brain barrier blood brain barrier extracellular space intracellular space barrier blood csf barrier can evalu quantit statist evalu quantit inform may perform assess tissu perfus barrier integr csf flow vivo normal diseaseaffect brain assess respons therapi

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