We describe a standard set of quantity names and symbols related to the estimation of kinetic parameters from dynamic contrast-enhanced T 1 -weighted magnetic resonance imaging data, using diffusable agents such as gadopentetate dimeglumine (Gd-DTPA). These include a) the volume transfer constant K trans (min ؊1 ); b) the volume of extravascular extracellular space (EES) per unit volume of tissue v e (0 F v e F 1); and c) the flux rate constant between EES and plasma k ep (min ؊1 ). The rate constant is the ratio of the transfer constant to the EES (k ep ؍ K trans / v e ). Under flow-limited conditions K trans equals the blood plasma flow per unit volume of tissue; under permeability-limited conditions K trans equals the permeability surface area product per unit volume of tissue. We relate these quantities to previously published work from our groups; our future publications will refer to these standardized terms, and we propose that these be adopted as international standards.
Neuronal activity causes local changes in cerebral blood flow, blood volume, and blood oxygenation. Magnetic resonance imaging (MRI) techniques sensitive to changes in cerebral blood flow and blood oxygenation were developed by high-speed echo planar imaging. These techniques were used to obtain completely noninvasive tomographic maps of human brain activity, by using visual and motor stimulus paradigms. Changes in blood oxygenation were detected by using a gradient echo (GE) imaging sequence sensitive to the paramagnetic state of deoxygenated hemoglobin. Blood flow changes were evaluated by a spin-echo inversion recovery (IR), tissue relaxation parameter Tl-sensitive pulse sequence. A series of images were acquired continuously with the same imaging pulse sequence (either GE or IR) during task activation. Cine display of subtraction images (activated minus baseline) directly demonstrates activity-induced changes in brain MR signal observed at a temporal resolution of seconds. During 8-Hz patterned-flash photic stimulation, a significant increase in signal intensity (paired t test; P < 0.001) of 1.8% ± 0.8% (GE) and 1.8% ± 0.9% (ID) was observed in the primary visual cortex (Vi) of seven normal volunteers. The mean rise-time constant of the signal change was 4.4 ± 2.2 s for the GE images and 8.9 ± 2.8 s for the IR images. The stimulation frequency dependence of visual activation agrees with previous positron emission tomography observations, with the largest MR signal response occurring at 8 Hz. Similar signal changes were observed within the human primary motor cortex (Ml) during a hand squeezing task and in animal models of increased blood flow by hypercapnia. By using intrinsic blood-tissue contrast, functional MRI opens a spatialtemporal window onto individual brain physiology. The brain possesses anatomically distinct processing regions. A complete understanding of brain function requires determination ofwhere these sites are located, what operations are performed, and how distributed processing is organized (1). Changes in neuronal activity are accompanied by focal changes in cerebral blood flow (CBF) (2), blood volume (CBV) (3,4), blood oxygenation (3,5), and metabolism (6, 7). These physiological changes can be used to produce functional maps of component mental operations.Conventional magnetic resonance imaging (MRI) examinations provide high spatial-resolution anatomic images primarily based on contrast derived from the tissue-relaxation parameters T1 and T2. Recently, several investigators have demonstrated in animals that brain tissue relaxation is influenced by the oxygenation state of hemoglobin (a T* effect, modulated by the local blood volume) (8-13) and intrinsic tissue perfusion (T1 effect) (14)(15)(16). High-speed MRI techniques sensitive to these relaxation phenomena can thus be used to generate tomographic images of brain activity (17).We report here completely noninvasive MRI of brain activity by techniques with intrinsic sensitivity to CBF and blood oxygenation state. Time-resolved...
The authors review the theoretical basis of determination of cerebral blood flow (CBF) using dynamic measurements of nondiffusible contrast agents, and demonstrate how parametric and nonparametric deconvolution techniques can be modified for the special requirements of CBF determination using dynamic MRI. Using Monte Carlo modeling, the use of simple, analytical residue models is shown to introduce large errors in flow estimates when actual, underlying vascular characteristics are not sufficiently described by the chosen function. The determination of the shape of the residue function on a regional basis is shown to be possible only at high signal-to-noise ratio. Comparison of several nonparametric deconvolution techniques showed that a nonparametric deconvolution technique (singular value decomposition) allows estimation of flow relatively independent of underlying vascular structure and volume even at low signal-to-noise ratio associated with pixel-by-pixel deconvolution.
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