Shorten project title

On branch main
	modified:   projects.csv

Author: jfnielsen

_data/projects.csv

@@ -5,7 +5,7 @@ timestamp,title,contact,url,category,description,logo,featured
 3/14/2025 13:11:06,Pypulseq,imr-framework2108@gmail.com,https://github.com/imr-framework/pypulseq,Sequence programming,"Python-based, vendor-neutral pulse sequence programming",/assets/logos/Pypulseq.png,False
 3/14/2025 13:33:09,Free-breathing fat quantification with flip angle modulation,jtang263@wisc.edu,https://qiml.radiology.wisc.edu/,"Sequence programming, Image reconstruction, Image processing, Quantitative MRI","This project implements a flip angle modulated, 2D-encoded sequential Cartesian gradient echo acquisition for high-SNR, motion-robust fat (PDFF) and iron (R2*) quantification, originally designed for use in the liver. After confounder-corrected fitting for PDFF and R2*, initial results show strong reproducibility across vendors, scanner models, and field strengths.",/assets/logos/Free-breathing_fat_quantification_with_flip_angle_modulation.png,False
 3/21/2025 0:17:59,PRIME: Phase Reversed Interleaved Multi-Echo acquisition enables highly accelerated distortion-free diffusion MRI,yjun@mgh.harvard.edu,https://github.com/yohan-jun/PRIME,"Sequence programming, Image reconstruction, Diffusion","Phase-reversed interleaved multi-echo acquisition (PRIME) for rapid, high-resolution, and distortion-free dMRI",/assets/logos/PRIME:_Phase_Reversed_Interleaved_Multi-Echo_acquisition_enables_highly_accelerated_distortion-free_diffusion_MRI.png,False
-3/28/2025 13:40:54,MIMOSA: Multi-parametric Imaging using Multiple-echoes with Optimized Simultaneous Acquisition for highly-efficient quantitative MRI,ychen156@mgh.harvard.edu,https://github.com/yutingchen11/MIMOSA,"Sequence programming, Image reconstruction, Quantitative MRI","MIMOSA enables highly-efficient T1, T2, T2*, PD, QSM, para- and diamagnetic susceptibility mapping.",/assets/logos/MIMOSA:_Multi-parametric_Imaging_using_Multiple-echoes_with_Optimized_Simultaneous_Acquisition_for_highly-efficient_quantitative_MRI.png,True
+3/28/2025 13:40:54,MIMOSA for highly efficient qMRI,ychen156@mgh.harvard.edu,https://github.com/yutingchen11/MIMOSA,"Sequence programming, Image reconstruction, Quantitative MRI","MIMOSA enables highly-efficient T1, T2, T2*, PD, QSM, para- and diamagnetic susceptibility mapping.",/assets/logos/MIMOSA:_Multi-parametric_Imaging_using_Multiple-echoes_with_Optimized_Simultaneous_Acquisition_for_highly-efficient_quantitative_MRI.png,True
 6/13/2025 8:07:41,Shuffle3DGRE,rita.schmidt@weizmann.ac.il,https://github.com/RitaSchmidt/Shuffle3DGRE,Sequence programming,An open (via Pulseq) 3D gradient echo MRI sequence supporting multiple Cartesian trajectory options for reducing physiological fluctuation artifacts,/assets/logos/Shuffle3DGRE.png,False
 7/1/2025 14:20:53,Fast-fMRI: Random 3D-EPI Acquisition + Locally Low-Rank Reconstruction,rexfung@umich.edu,https://github.com/rextlfung/Fast-fMRI,"Sequence programming, Image reconstruction, fMRI","A set of tools for vendor-agnostic, highly accelerated fMRI acquisition and reconstruction.",/assets/logos/Fast-fMRI:_Random_3D-EPI_Acquisition_+_Locally_Low-Rank_Reconstruction.png,False
 7/7/2025 10:22:45,Open-MOLLI,andreia.gaspar@tecnico.ulisboa.pt,https://github.com/asgaspar/OpenMOLLI,Sequence programming,Open-source Myocardial T1 mapping (Open-MOLLI) developed using Pulseq is an inversion recovery T1 mapping sequence with a triggering scheme 5(3)3. Open-MOLLI provides the groundwork for standardization and for further developments such as adding simultaneous multi-slice excitation (SMS) capabilities to Open-MOLLI myocardium T1 mapping.,/assets/logos/Open-MOLLI.png,False