1. A magnetic resonance imaging method comprising: using a magnetic resonance system comprising a primary field magnet, a plurality of gradient field coils, a radiofrequency (RF) transmit coil, a plurality of RF receiving coils, and control circuitry to perform magnetic resonance imaging steps comprising: acquiring a region of k-space calibration data using the primary field magnet, the plurality of gradient field coils, the RF transmit coil, the plurality of RF receiving coils, and the control circuitry; acquiring a set of T1-weighted k-space imaging data representative of a subject of interest using the primary field magnet, the plurality of gradient field coils, the RF transmit coil, the plurality of RF receiving coils, and the control circuitry, the set of T1-weighted k-space imaging data comprising regions of undersampled k-space data rotated about a section of k-space, wherein each region of undersampled k-space data comprises filled encode lines that have acquired data and unfilled encode lines that are missing data, wherein the regions of undersampled k-space data comprise blades that have a rectangular geometry and an effective width that is between 27 and 33 encode lines, and wherein acquiring the set of T1-weighted k-space imaging data comprises: performing a fluid attenuating inversion pulse to attenuate cerebrospinal fluid (CSF) or water in the subject of interest; and receiving magnetic resonance (MR) signals from the subject of interest following the fluid attenuating inversion pulse, wherein the MR signals that are received from an echo train within each repetition time (TR) of the acquisition of the set of T1-weighted k-space data acquires the data of the filled lines within each region of undersampled k-space data, and wherein an echo train length of each TR is between 10 and 15; generating, via the control circuitry, a set of reconstruction weights for the regions of undersampled k-space data using the region of k-space calibration data; synthesizing, via the control circuitry, k-space data for at least a portion of the second data points using the set of reconstruction weights; and generating, via the control circuitry, a T1-weighted image of the subject of interest using the T1-weighted k-space imaging data and the synthesized k-space data.