{"doi":"10.1002/mrm.28579","title":"Diffusion‐PEPTIDE: Distortion‐ and blurring‐free diffusion imaging with self‐navigated motion‐correction and relaxometry capabilities","abstract":"Purpose To implement the time‐resolved relaxometry PEPTIDE technique into a diffusion acquisition to provide self‐navigated, distortion‐ and blurring‐free diffusion imaging that is robust to motion, while simultaneously providing T 2 and mapping. Theory and Methods The PEPTIDE readout was implemented into a spin‐echo diffusion acquisition, enabling reconstruction of a time‐series of T 2 ‐ and ‐weighted images, free from conventional echo planar imaging (EPI) distortion and blurring, for each diffusion‐encoding. Robustness of PEPTIDE to motion and shot‐to‐shot phase variation was examined through a deliberate motion‐corrupted diffusion experiment. Two diffusion‐relaxometry in vivo brain protocols were also examined: (1)1 × 1 × 3 mm 3 across 32 diffusion directions in 20 min, (2)1.5 × 1.5 × 3.0 mm 3 across 6 diffusion‐weighted images in 3.4 min. T 2 , , and diffusion parameter maps were calculated from these data. As initial exploration of the rich diffusion‐relaxometry data content for use in multi‐compartment modeling, PEPTIDE data were acquired of a gadolinium‐doped asparagus phantom. These datasets contained two compartments with different relaxation parameters and different diffusion orientation properties, and T 2 relaxation variations across these diffusion directions were explored. Results Diffusion‐PEPTIDE showed the capability to provide high quality diffusion images and T 2 and maps from both protocols. The reconstructions were distortion‐free, avoided potential resolution losses exceeding 100% in equivalent EPI acquisitions, and showed tolerance to nearly 30° of rotational motion. Expected variation in T 2 values as a function of diffusion direction was observed in the two‐compartment asparagus phantom ( P < .01), demonstrating potential to explore diffusion‐PEPTIDE data for multi‐compartment modeling. Conclusions Diffusion‐PEPTIDE provides highly robust diffusion and relaxometry data and offers potential for future applications in diffusion‐relaxometry multi‐compartment modeling.","journal":"Magnetic Resonance in Medicine","year":2020,"id":83174,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":12,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9573,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":263265,"name":"Congyu Liao","orcid":"0000-0003-2270-276X","position":1,"is_corresponding":false},{"id":428312,"name":"Mary Kate Manhard","orcid":"0000-0001-5374-9988","position":2,"is_corresponding":false},{"id":263269,"name":"Kawin Setsompop","orcid":"0000-0003-0455-7634","position":3,"is_corresponding":false},{"id":428311,"name":"Merlin J. Fair","orcid":"0000-0002-9100-3105","position":0,"is_corresponding":true}],"reference_count":64,"raw_metadata":null,"created_at":"2026-07-18T21:54:09.383533Z","pmid":"33314281","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}