{"doi":"10.21105/joss.06586","title":"PulPy: A Python Toolkit for MRI RF and Gradient PulseDesign","abstract":"We present PulPy (Pulses in Python), an extensive set of open-source, Python-based tools for magnetic resonance imaging (MRI) radiofrequency (RF) and gradient pulse design.PulPy is a Python package containing implementations of a wide range of commonly used RF and gradient pulse design tools.Our implemented functions for RF pulse design include advanced Shinnar-LeRoux (SLR), multiband, adiabatic, optimal control, B + 1 -selective and small-tip parallel transmission (pTx) designers.Gradient waveform design functionality is included, providing the ability to design and optimize readout or excitation k-space trajectories (John Pauly et al., 1989).Other useful tools such as vendor-specific waveform input/output, Bloch equation simulators, abstracted linear operators, and pulse reshaping functions are included.This toolbox builds on the RF tools introduced previously in the SigPy.RF Python software package (Martin et al., 2020).The current toolbox continues to leverage SigPy's existing capabilities for GPU computation, iterative optimization, and powerful abstractions for linear operators and applications (Ong & Lustig, 2019).The table below shows an outline of the implemented functions.","journal":"The Journal of Open Source Software","year":2024,"id":474404,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9402,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1086883,"name":"Heng Sun","orcid":"0000-0002-6716-6430","position":1,"is_corresponding":false},{"id":1310959,"name":"Madison Albert","orcid":null,"position":2,"is_corresponding":false},{"id":313994,"name":"Kevin M. Johnson","orcid":"0000-0002-8660-0853","position":3,"is_corresponding":false},{"id":497343,"name":"William A. Grissom","orcid":"0000-0002-3289-1827","position":4,"is_corresponding":false},{"id":937065,"name":"Jonathan B. Martin","orcid":"0000-0002-9384-8056","position":0,"is_corresponding":true}],"reference_count":32,"raw_metadata":null,"created_at":"2026-07-19T02:06:09.108857Z","pmid":"40881849","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":[]}