A variety of variable and constant rate, sparse sampling strategies ha
ve previously been proposed to rapidly image dynamically changing obje
cts. The majority of these strategies compile a k-space data set for a
ny given time point by substituting k-space data from the most recentl
y sampled time positions (extracted from the sparsely sampled set), Th
e BRISK technique, is a variable rate, sparse sampling technique which
additionally incorporates an interpolation scheme to more accurately
represent k-space data at positions which were not directly sampled, H
ere, strategies are introduced that allow turbo concepts to be incorpo
rated with BRISK, Simulations are conducted to compare the efficacy of
the turbo BRISK acquisition and processing strategy against a constan
t rate, sparse sampling strategy with direct substitution of the most
recently acquired k-space lines. It is shown that turbo BRISK generate
s images of similar quality in approximately half the time as the unif
orm sampling rate, sparse sampling strategy. Data from turbo BRISK acq
uisitions of multicardiac phase image sets, obtained on a normal volun
teer and cardiac patients are presented.