Optimization of pulsed saturation transfer MR fingerprinting (ST MRF) acquisition using the Cramér-Rao bound and sequential quadratic programming Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2504.03298
Purpose: To develop a method for optimizing pulsed saturation transfer MR fingerprinting (ST MRF) acquisition. Methods: The Cramér-Rao bound (CRB) for variance assessment was employed on Bloch-McConnell-based simulated signals, followed by a numerical sequential quadratic programming optimization and basin-hopping avoidance of local minima. Validation was performed using L-arginine phantoms and healthy human volunteers (n=4) at 3T while restricting the scan time to be less than 40 s. Results: The proposed optimization approach resulted in a significantly improved agreement with reference gold standard values in vivo, compared to baseline non-optimized protocols (8$\%$ lower NRMSE, 7$\%$ higher SSIM, and 15$\%$ higher Pearson's r value, p<0.001). Conclusion: The combination of the CRB with sequential quadratic programming and a rapid Bloch-McConnell simulator offers a means for optimizing and accelerating pulsed CEST and semisolid magnetization transfer (MT) MRF acquisition.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2504.03298
- https://arxiv.org/pdf/2504.03298
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W4415196352
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4415196352Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2504.03298Digital Object Identifier
- Title
-
Optimization of pulsed saturation transfer MR fingerprinting (ST MRF) acquisition using the Cramér-Rao bound and sequential quadratic programmingWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-04-04Full publication date if available
- Authors
-
Nikita Vladimirov, Moritz Zaiß, Or PerlmanList of authors in order
- Landing page
-
https://arxiv.org/abs/2504.03298Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2504.03298Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2504.03298Direct OA link when available
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W4415196352 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2504.03298 |
| ids.doi | https://doi.org/10.48550/arxiv.2504.03298 |
| ids.openalex | https://openalex.org/W4415196352 |
| fwci | |
| type | preprint |
| title | Optimization of pulsed saturation transfer MR fingerprinting (ST MRF) acquisition using the Cramér-Rao bound and sequential quadratic programming |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10378 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9865000247955322 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2741 |
| topics[0].subfield.display_name | Radiology, Nuclear Medicine and Imaging |
| topics[0].display_name | Advanced MRI Techniques and Applications |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2504.03298 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/2504.03298 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2504.03298 |
| locations[1].id | doi:10.48550/arxiv.2504.03298 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2504.03298 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5078478374 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-1159-0689 |
| authorships[0].author.display_name | Nikita Vladimirov |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Vladimirov, Nikita |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5054149506 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-9780-3616 |
| authorships[1].author.display_name | Moritz Zaiß |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zaiss, Moritz |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5027178832 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3566-569X |
| authorships[2].author.display_name | Or Perlman |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Perlman, Or |
| authorships[2].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2504.03298 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-15T00:00:00 |
| display_name | Optimization of pulsed saturation transfer MR fingerprinting (ST MRF) acquisition using the Cramér-Rao bound and sequential quadratic programming |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10378 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9865000247955322 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2741 |
| primary_topic.subfield.display_name | Radiology, Nuclear Medicine and Imaging |
| primary_topic.display_name | Advanced MRI Techniques and Applications |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2504.03298 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2504.03298 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2504.03298 |
| primary_location.id | pmh:oai:arXiv.org:2504.03298 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2504.03298 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2504.03298 |
| publication_date | 2025-04-04 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 3, 31, 74, 114, 119 |
| abstract_inverted_index.r | 100 |
| abstract_inverted_index.3T | 55 |
| abstract_inverted_index.40 | 65 |
| abstract_inverted_index.MR | 10 |
| abstract_inverted_index.To | 1 |
| abstract_inverted_index.at | 54 |
| abstract_inverted_index.be | 62 |
| abstract_inverted_index.by | 30 |
| abstract_inverted_index.in | 73, 83 |
| abstract_inverted_index.of | 40, 106 |
| abstract_inverted_index.on | 25 |
| abstract_inverted_index.s. | 66 |
| abstract_inverted_index.to | 61, 86 |
| abstract_inverted_index.(ST | 12 |
| abstract_inverted_index.CRB | 108 |
| abstract_inverted_index.MRF | 132 |
| abstract_inverted_index.The | 16, 68, 104 |
| abstract_inverted_index.and | 37, 49, 96, 113, 123, 127 |
| abstract_inverted_index.for | 5, 20, 121 |
| abstract_inverted_index.the | 58, 107 |
| abstract_inverted_index.was | 23, 44 |
| abstract_inverted_index.(MT) | 131 |
| abstract_inverted_index.CEST | 126 |
| abstract_inverted_index.MRF) | 13 |
| abstract_inverted_index.gold | 80 |
| abstract_inverted_index.less | 63 |
| abstract_inverted_index.scan | 59 |
| abstract_inverted_index.than | 64 |
| abstract_inverted_index.time | 60 |
| abstract_inverted_index.with | 78, 109 |
| abstract_inverted_index.(CRB) | 19 |
| abstract_inverted_index.(n=4) | 53 |
| abstract_inverted_index.7$\%$ | 93 |
| abstract_inverted_index.SSIM, | 95 |
| abstract_inverted_index.bound | 18 |
| abstract_inverted_index.human | 51 |
| abstract_inverted_index.local | 41 |
| abstract_inverted_index.lower | 91 |
| abstract_inverted_index.means | 120 |
| abstract_inverted_index.rapid | 115 |
| abstract_inverted_index.using | 46 |
| abstract_inverted_index.vivo, | 84 |
| abstract_inverted_index.while | 56 |
| abstract_inverted_index.(8$\%$ | 90 |
| abstract_inverted_index.15$\%$ | 97 |
| abstract_inverted_index.NRMSE, | 92 |
| abstract_inverted_index.higher | 94, 98 |
| abstract_inverted_index.method | 4 |
| abstract_inverted_index.offers | 118 |
| abstract_inverted_index.pulsed | 7, 125 |
| abstract_inverted_index.value, | 101 |
| abstract_inverted_index.values | 82 |
| abstract_inverted_index.develop | 2 |
| abstract_inverted_index.healthy | 50 |
| abstract_inverted_index.minima. | 42 |
| abstract_inverted_index.Methods: | 15 |
| abstract_inverted_index.Purpose: | 0 |
| abstract_inverted_index.Results: | 67 |
| abstract_inverted_index.approach | 71 |
| abstract_inverted_index.baseline | 87 |
| abstract_inverted_index.compared | 85 |
| abstract_inverted_index.employed | 24 |
| abstract_inverted_index.followed | 29 |
| abstract_inverted_index.improved | 76 |
| abstract_inverted_index.phantoms | 48 |
| abstract_inverted_index.proposed | 69 |
| abstract_inverted_index.resulted | 72 |
| abstract_inverted_index.signals, | 28 |
| abstract_inverted_index.standard | 81 |
| abstract_inverted_index.transfer | 9, 130 |
| abstract_inverted_index.variance | 21 |
| abstract_inverted_index.Pearson's | 99 |
| abstract_inverted_index.agreement | 77 |
| abstract_inverted_index.avoidance | 39 |
| abstract_inverted_index.numerical | 32 |
| abstract_inverted_index.performed | 45 |
| abstract_inverted_index.protocols | 89 |
| abstract_inverted_index.quadratic | 34, 111 |
| abstract_inverted_index.reference | 79 |
| abstract_inverted_index.semisolid | 128 |
| abstract_inverted_index.simulated | 27 |
| abstract_inverted_index.simulator | 117 |
| abstract_inverted_index.L-arginine | 47 |
| abstract_inverted_index.Validation | 43 |
| abstract_inverted_index.assessment | 22 |
| abstract_inverted_index.optimizing | 6, 122 |
| abstract_inverted_index.saturation | 8 |
| abstract_inverted_index.sequential | 33, 110 |
| abstract_inverted_index.volunteers | 52 |
| abstract_inverted_index.Conclusion: | 103 |
| abstract_inverted_index.Cramér-Rao | 17 |
| abstract_inverted_index.combination | 105 |
| abstract_inverted_index.programming | 35, 112 |
| abstract_inverted_index.restricting | 57 |
| abstract_inverted_index.accelerating | 124 |
| abstract_inverted_index.acquisition. | 14, 133 |
| abstract_inverted_index.optimization | 36, 70 |
| abstract_inverted_index.p<0.001). | 102 |
| abstract_inverted_index.basin-hopping | 38 |
| abstract_inverted_index.magnetization | 129 |
| abstract_inverted_index.non-optimized | 88 |
| abstract_inverted_index.significantly | 75 |
| abstract_inverted_index.fingerprinting | 11 |
| abstract_inverted_index.Bloch-McConnell | 116 |
| abstract_inverted_index.Bloch-McConnell-based | 26 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile |