After administration of gadolinium, infarcted myocardium exhibits delayed hyperenhancement and can be imaged using an inversion recovery (IR) sequence. The performance of such a method when using magnitude-reconstructed images is highly sensitive to the inversion recovery time (TI) selected. Using phase-sensitive reconstruction, it is possible to use a nominal value of TI, eliminate several breath-holds otherwise needed to find the precise null time for normal myocardium, and achieve a consistent contrast. Phase-sensitive detection is used to remove the background phase while preserving the sign of the desired magnetization during IR. Experimental results are presented which demonstrate the benefits of both phase-sensitive IR image reconstruction and surface coil intensity normalization for detecting myocardial infarction (MI). The phase-sensitive reconstruction method reduces the variation in apparent infarct size that is observed in the magnitude images as TI is changed. Phase-sensitive detection also has the advantage of decreasing the sensitivity to changes in tissue T 1 with increasing delay from contrast agent injection. Magn Reson Med 47: 372-383,

The method for phased array image reconstruction of uniform noise images may be used in conjunction with proper image scaling as a means of reconstructing images directly in SNR units. This facilitates accurate and precise SNR measurement on a per pixel basis. This method is applicable to root-sum-ofsquares magnitude combining, B 1 -weighted combining, and parallel imaging such as SENSE. A procedure for image reconstruction and scaling is presented, and the method for SNR measurement is validated with phantom data. Alternative methods that rely on noise only regions are not appropriate for parallel imaging where the noise level is highly variable across the field-of-view. The purpose of this article is to provide a nuts and bolts procedure for calculating scale factors used for reconstructing images directly in SNR units. The procedure includes scaling for noise equivalent bandwidth of digital receivers, FFTs and associated window functions (raw data filters), and array combining.

Ventricular pacing causes a threefold difference in myofiber work within the LV wall. This difference appears large enough to regard local myocardial function as an important determinant for abnormalities in perfusion, metabolism, structure and pump function during asynchronous electrical activation. Pacing at sites that cause more synchronous activation may limit the occurrence of such derangements.

Summary: Accuracy in in vivo quantitation of brain func tion with positron emission tomography (PET) has often been limited by partial volume effects. This limitation be comes prominent in studies of aging and degenerative brain diseases where partial volume effects vary with dif ferent degrees of atrophy. The present study describes how the actual gray matter (GM) tracer concentration can be estimated using an algorithm that relates the regional fraction of GM to partial volume effects. The regional fraction of GM was determined by magnetic resonance imaging (MRI). The procedure is designated as GM PET. In computer simulations and phantom studies, the GM PET algorithm permitted a 100% recovery of the actual tracer concentration in neocortical GM and hippocam pus, irrespective of the GM volume. GM PET was apPositron emission tomography (PET) permits in vestigation of physiological and biochemical pro cesses in human brain in vivo, and has yielded new insights into both normal physiology and diseases (Kuhl et aI. , 1982;Foster, 1983; Wagner et aI. , 1983; Frost et aI., 1985;Phelps and Mazziotta, 1985;Frost, 1986; Yamaguchi et aI. , 1986; Yoshii et aI., Abbreviations used: AU, arbitrary units; FWHM, full width at half-maximum; OM, gray matter; MRI, magnetic resonance im aging; PET, positron emission tomography; RMSE, relative mean-squared error; ROI, region of interest; SPOR, spoiled grass; WM, white matter. 571plied in a test case of temporal lobe epilepsy revealing an increase in radiotracer activity in GM that was undetec ted in the PET image before correction for partial volume effects. In computer simulations, errors in the segmenta tion of GM and errors in registration of PET and MRI images resulted in less than 15% inaccuracy in the GM PET image. In conclusion, GM PET permits accurate de termination of the actual radiotracer concentration in hu man brain GM in vivo. The method differentiates whether a change in the apparent radiotracer concentration re flects solely an alteration in GM volume or rather a change in radiotracer concentration per unit volume of GM. Key Words: Brain gray matter-Positron emission tomography-Magnetic resonance imaging-Partial vol ume effects-Aging-Dementia-Brain atrophy.1988; Fowler, 1990; Frost and Wagner, 1990; Leen ders et aI., 1990;Martin et al., 1991; Mayberg et aI. , 1991). Nevertheless, a limitation of PET remains: its relatively poor spatial resolution. As a result, PET quantification, especially in structures smaller than two times the full width at half-maximum (FWHM) of the tomograph, is affected by partial volume effects (Hoffmann et aI. , 1979). Given that the in-plane FWHM of current PET instruments ranges from 2.6 mm (Valk et aI. , 1990) to about 14 mm, tracer activity in many brain structures, in cluding the neocortex, is often underestimated. In neocortex, gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) spaces are convo luted, and cannot be resolved using PET instrumen tation; a cortical PET signal thus reflects the aver age tracer concentr...

PURPOSE-To present a database of systolic three-dimensional (3D) strain evolution throughout the normal left ventricle (LV) in humans.MATERIALS AND METHODS-In 31 healthy volunteers, magnetic resonance (MR) tissue tagging and breath-hold MR imaging were used to generate and then detect the motion of transient fiducial markers (ie, tags) in the heart every 32 msec. Strain and motion were calculated from a 3D displacement field that was fit to the tag data. Special indexes of contraction and thickening that were based on multiple strain components also were evaluated. RESULTS-The temporal evolution of local strains was linear during the first half of systole. The peak shortening and thickening strain components were typically greatest in the anterolateral wall, increased toward the apex, and increased toward the endocardium. Shears and displacements were more spatially variable. The two specialized indexes of contraction and thickening had higher measurement precision and tighter normal ranges than did the traditional strain components.

A number of different methods have been demonstrated which increase the speed of MR acquisition by decreasing the number of sequential phase encodes. The UNFOLD technique is based on time interleaving of k-space lines in sequential images and exploits the property that the outer portion of the field-of-view is relatively static. The differences in spatial sensitivity of multiple receiver coils may be exploited using SENSE or SMASH techniques to eliminate the aliased component that results from undersampling k-space. In this article, an adaptive method of sensitivity encoding is presented which incorporates both spatial and temporal filtering. Temporal filtering and spatial encoding may be combined by acquiring phase encodes in an interleaved manner. In this way the aliased components are alternating phase. The SENSE formulation is not altered by the phase of the alias artifact; however, for imperfect estimates of coil sensitivities the residual artifact will have alternating phase using this approach. This is the essence of combining temporal filtering (UNFOLD) with spatial sensitivity encoding (SENSE). Any residual artifact will be temporally frequency-shifted to the band edge and thus may be further suppressed by temporal low-pass filtering. By combining both temporal and spatial filtering a high degree of alias artifact rejection may be achieved with less stringent requirements on accuracy of coil sensitivity estimates and temporal low-pass filter selectivity than would be required using each method individually. Experimental results that demonstrate the adaptive spatiotemporal filtering method (adaptive TSENSE) with acceleration factor R ‫؍‬ 2, for real-time nonbreath-held cardiac MR imaging during exercise induced stress are presented. Magn Reson Med 45:846 -852,

This article introduces a new image processing technique for rapid analysis of tagged cardiac magnetic resonance image sequences. The method uses isolated spectral peaks in SPAMMtagged magnetic resonance images, which contain information about cardiac motion. The inverse Fourier transform of a spectral peak is a complex image whose calculated angle is called a harmonic phase (HARP) image. It is shown how two HARP image sequences can be used to automatically and accurately track material points through time. A rapid, semiautomated procedure to calculate circumferential and radial Lagrangian strain from tracked points is described. This new computational approach permits rapid analysis and visualization of myocardial strain within 5-10 min after the scan is complete. Its performance is demonstrated on MR image sequences reflecting both normal and abnormal cardiac motion. Results from the new method are shown to compare very well with a previously validated tracking algorithm. Magn Reson Med 42:1048-1060,

A method is proposed to estimate signal-to-noise ratio (SNR) values in phased array magnitude images, based on a region-of-interest (ROI) analysis. It is shown that the SNR can be found by correcting the measured signal intensity for the noise bias effects and by evaluating the noise variance as the mean square value of all the pixel intensities in a chosen background ROI, divided by twice the number of receivers used. Estimated SNR values are shown to vary spatially within a bound of 20% with respect to the true SNR values as a result of noise correlations between receivers.