Omni-QALAS: Optimized Multiparametric Imaging for Simultaneous T1, T2 and Myelin Water Mapping Article Swipe

PDF

Song Li , Unay Dorken Gallastegi , Shohei Fujita , Yuting Chen , Pengcheng Xu , Yangsean Choi , Borjan Gagoski , Huihui Ye , Huafeng Liu , Berkin Bilgic̦ , Yohan Jun ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2510.13118

Purpose: To improve the accuracy of multiparametric estimation, including myelin water fraction (MWF) quantification, and reduce scan time in 3D-QALAS by optimizing sequence parameters, using a self-supervised multilayer perceptron network. Methods: We jointly optimize flip angles, T2 preparation durations, and sequence gaps for T1 recovery using a self-supervised MLP trained to minimize a Cramer-Rao bound-based loss function, with explicit constraints on total scan time. The optimization targets white matter, gray matter, and myelin water tissues, and its performance was validated through simulation, phantom, and in vivo experiments. Results: Building on our previously proposed MWF-QALAS method for simultaneous MWF, T1, and T2 mapping, the optimized sequence reduces the number of readouts from six to five and achieves a scan time nearly one minute shorter, while also yielding higher T1 and T2 accuracy and improved MWF maps. This sequence enables simultaneous multiparametric quantification, including MWF, at 1 mm isotropic resolution within 3 minutes and 30 seconds. Conclusion: This study demonstrated that optimizing sequence parameters using a self-supervised MLP network improved T1, T2 and MWF estimation accuracy, while reducing scan time.

Related Topics

Truth And Reconciliation Commission Of Canada

2025 Nba Draft

28 Years Later

Reich Ministry Of Public Enlightenment And Propaganda

Concepts

No concepts available.

Metadata

Type: preprint
Landing Page: http://arxiv.org/abs/2510.13118
PDF: https://arxiv.org/pdf/2510.13118
OA Status: green
OpenAlex ID: https://openalex.org/W4415274596

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4415274596

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.48550/arxiv.2510.13118

Digital Object Identifier
Title: Omni-QALAS: Optimized Multiparametric Imaging for Simultaneous T1, T2 and Myelin Water Mapping

Work title
Type: preprint

OpenAlex work type
Publication year: 2025

Year of publication
Publication date: 2025-10-15

Full publication date if available
Authors: Song Li, Unay Dorken Gallastegi, Shohei Fujita, Yuting Chen, Pengcheng Xu, Yangsean Choi, Borjan Gagoski, Huihui Ye, Huafeng Liu, Berkin Bilgic̦, Yohan Jun

List of authors in order
Landing page: https://arxiv.org/abs/2510.13118

Publisher landing page
PDF URL: https://arxiv.org/pdf/2510.13118

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: green

Open access status per OpenAlex
OA URL: https://arxiv.org/pdf/2510.13118

Direct OA link when available
Cited by: 0

Total citation count in OpenAlex

Full payload

id	https://openalex.org/W4415274596
doi	https://doi.org/10.48550/arxiv.2510.13118
ids.doi	https://doi.org/10.48550/arxiv.2510.13118
ids.openalex	https://openalex.org/W4415274596
fwci	0.0
type	preprint
title	Omni-QALAS: Optimized Multiparametric Imaging for Simultaneous T1, T2 and Myelin Water Mapping
biblio.issue
biblio.volume
biblio.last_page
biblio.first_page
topics[0].id	https://openalex.org/T12422
topics[0].field.id	https://openalex.org/fields/27
topics[0].field.display_name	Medicine
topics[0].score	0.5146999955177307
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	Radiomics and Machine Learning in Medical Imaging
topics[1].id	https://openalex.org/T10836
topics[1].field.id	https://openalex.org/fields/13
topics[1].field.display_name	Biochemistry, Genetics and Molecular Biology
topics[1].score	0.5138999819755554
topics[1].domain.id	https://openalex.org/domains/1
topics[1].domain.display_name	Life Sciences
topics[1].subfield.id	https://openalex.org/subfields/1312
topics[1].subfield.display_name	Molecular Biology
topics[1].display_name	Metabolomics and Mass Spectrometry Studies
topics[2].id	https://openalex.org/T13702
topics[2].field.id	https://openalex.org/fields/17
topics[2].field.display_name	Computer Science
topics[2].score	0.4869999885559082
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/1702
topics[2].subfield.display_name	Artificial Intelligence
topics[2].display_name	Machine Learning in Healthcare
is_xpac	False
apc_list
apc_paid
language
locations[0].id	pmh:oai:arXiv.org:2510.13118
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/2510.13118
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/2510.13118
locations[1].id	doi:10.48550/arxiv.2510.13118
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
locations[1].pdf_url
locations[1].version
locations[1].raw_type	article
locations[1].license_id
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.2510.13118
indexed_in	arxiv, datacite
authorships[0].author.id	https://openalex.org/A5100701086
authorships[0].author.orcid	https://orcid.org/0000-0002-9140-9973
authorships[0].author.display_name	Song Li
authorships[0].author_position	first
authorships[0].raw_author_name	Li, Shizhuo
authorships[0].is_corresponding	False
authorships[1].author.id	https://openalex.org/A5120033636
authorships[1].author.orcid
authorships[1].author.display_name	Unay Dorken Gallastegi
authorships[1].author_position	middle
authorships[1].raw_author_name	Gallastegi, Unay Dorken
authorships[1].is_corresponding	False
authorships[2].author.id	https://openalex.org/A5051043193
authorships[2].author.orcid	https://orcid.org/0000-0003-4276-6226
authorships[2].author.display_name	Shohei Fujita
authorships[2].author_position	middle
authorships[2].raw_author_name	Fujita, Shohei
authorships[2].is_corresponding	False
authorships[3].author.id	https://openalex.org/A5100436560
authorships[3].author.orcid	https://orcid.org/0000-0002-0262-9721
authorships[3].author.display_name	Yuting Chen
authorships[3].author_position	middle
authorships[3].raw_author_name	Chen, Yuting
authorships[3].is_corresponding	False
authorships[4].author.id	https://openalex.org/A5101666393
authorships[4].author.orcid	https://orcid.org/0000-0002-3137-4801
authorships[4].author.display_name	Pengcheng Xu
authorships[4].author_position	middle
authorships[4].raw_author_name	Xu, Pengcheng
authorships[4].is_corresponding	False
authorships[5].author.id	https://openalex.org/A5033157744
authorships[5].author.orcid	https://orcid.org/0000-0003-1674-7101
authorships[5].author.display_name	Yangsean Choi
authorships[5].author_position	middle
authorships[5].raw_author_name	Choi, Yangsean
authorships[5].is_corresponding	False
authorships[6].author.id	https://openalex.org/A5021911579
authorships[6].author.orcid	https://orcid.org/0000-0003-3777-2621
authorships[6].author.display_name	Borjan Gagoski
authorships[6].author_position	middle
authorships[6].raw_author_name	Gagoski, Borjan
authorships[6].is_corresponding	False
authorships[7].author.id	https://openalex.org/A5103031274
authorships[7].author.orcid	https://orcid.org/0000-0002-7563-0352
authorships[7].author.display_name	Huihui Ye
authorships[7].author_position	middle
authorships[7].raw_author_name	Ye, Huihui
authorships[7].is_corresponding	False
authorships[8].author.id	https://openalex.org/A5100725635
authorships[8].author.orcid	https://orcid.org/0000-0002-9737-9437
authorships[8].author.display_name	Huafeng Liu
authorships[8].author_position	middle
authorships[8].raw_author_name	Liu, Huafeng
authorships[8].is_corresponding	False
authorships[9].author.id	https://openalex.org/A5072823095
authorships[9].author.orcid	https://orcid.org/0000-0002-9080-7865
authorships[9].author.display_name	Berkin Bilgic̦
authorships[9].author_position	middle
authorships[9].raw_author_name	Bilgic, Berkin
authorships[9].is_corresponding	False
authorships[10].author.id	https://openalex.org/A5017460004
authorships[10].author.orcid	https://orcid.org/0000-0003-4787-4760
authorships[10].author.display_name	Yohan Jun
authorships[10].author_position	last
authorships[10].raw_author_name	Jun, Yohan
authorships[10].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/2510.13118
open_access.oa_status	green
open_access.any_repository_has_fulltext	False
created_date	2025-10-17T00:00:00
display_name	Omni-QALAS: Optimized Multiparametric Imaging for Simultaneous T1, T2 and Myelin Water Mapping
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T06:51:31.235846
primary_topic.id	https://openalex.org/T12422
primary_topic.field.id	https://openalex.org/fields/27
primary_topic.field.display_name	Medicine
primary_topic.score	0.5146999955177307
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	Radiomics and Machine Learning in Medical Imaging
cited_by_count	0
locations_count	2
best_oa_location.id	pmh:oai:arXiv.org:2510.13118
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/2510.13118
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/2510.13118
primary_location.id	pmh:oai:arXiv.org:2510.13118
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/2510.13118
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/2510.13118
publication_date	2025-10-15
publication_year	2025
referenced_works_count	0
abstract_inverted_index.1	144
abstract_inverted_index.3	149
abstract_inverted_index.a	25, 46, 52, 116, 163
abstract_inverted_index.30	152
abstract_inverted_index.T1	43, 127
abstract_inverted_index.T2	36, 100, 129, 169
abstract_inverted_index.To	1
abstract_inverted_index.We	31
abstract_inverted_index.at	143
abstract_inverted_index.by	20
abstract_inverted_index.in	18, 84
abstract_inverted_index.mm	145
abstract_inverted_index.of	5, 108
abstract_inverted_index.on	60, 89
abstract_inverted_index.to	50, 112
abstract_inverted_index.MLP	48, 165
abstract_inverted_index.MWF	133, 171
abstract_inverted_index.T1,	98, 168
abstract_inverted_index.The	64
abstract_inverted_index.and	14, 39, 71, 75, 83, 99, 114, 128, 131, 151, 170
abstract_inverted_index.for	42, 95
abstract_inverted_index.its	76
abstract_inverted_index.one	120
abstract_inverted_index.our	90
abstract_inverted_index.six	111
abstract_inverted_index.the	3, 102, 106
abstract_inverted_index.was	78
abstract_inverted_index.MWF,	97, 142
abstract_inverted_index.This	135, 155
abstract_inverted_index.also	124
abstract_inverted_index.five	113
abstract_inverted_index.flip	34
abstract_inverted_index.from	110
abstract_inverted_index.gaps	41
abstract_inverted_index.gray	69
abstract_inverted_index.loss	55
abstract_inverted_index.scan	16, 62, 117, 176
abstract_inverted_index.that	158
abstract_inverted_index.time	17, 118
abstract_inverted_index.vivo	85
abstract_inverted_index.with	57
abstract_inverted_index.(MWF)	12
abstract_inverted_index.maps.	134
abstract_inverted_index.study	156
abstract_inverted_index.time.	63, 177
abstract_inverted_index.total	61
abstract_inverted_index.using	24, 45, 162
abstract_inverted_index.water	10, 73
abstract_inverted_index.while	123, 174
abstract_inverted_index.white	67
abstract_inverted_index.higher	126
abstract_inverted_index.method	94
abstract_inverted_index.minute	121
abstract_inverted_index.myelin	9, 72
abstract_inverted_index.nearly	119
abstract_inverted_index.number	107
abstract_inverted_index.reduce	15
abstract_inverted_index.within	148
abstract_inverted_index.angles,	35
abstract_inverted_index.enables	137
abstract_inverted_index.improve	2
abstract_inverted_index.jointly	32
abstract_inverted_index.matter,	68, 70
abstract_inverted_index.minutes	150
abstract_inverted_index.network	166
abstract_inverted_index.reduces	105
abstract_inverted_index.targets	66
abstract_inverted_index.through	80
abstract_inverted_index.trained	49
abstract_inverted_index.3D-QALAS	19
abstract_inverted_index.Building	88
abstract_inverted_index.Methods:	30
abstract_inverted_index.Purpose:	0
abstract_inverted_index.Results:	87
abstract_inverted_index.accuracy	4, 130
abstract_inverted_index.achieves	115
abstract_inverted_index.explicit	58
abstract_inverted_index.fraction	11
abstract_inverted_index.improved	132, 167
abstract_inverted_index.mapping,	101
abstract_inverted_index.minimize	51
abstract_inverted_index.network.	29
abstract_inverted_index.optimize	33
abstract_inverted_index.phantom,	82
abstract_inverted_index.proposed	92
abstract_inverted_index.readouts	109
abstract_inverted_index.recovery	44
abstract_inverted_index.reducing	175
abstract_inverted_index.seconds.	153
abstract_inverted_index.sequence	22, 40, 104, 136, 160
abstract_inverted_index.shorter,	122
abstract_inverted_index.tissues,	74
abstract_inverted_index.yielding	125
abstract_inverted_index.MWF-QALAS	93
abstract_inverted_index.accuracy,	173
abstract_inverted_index.function,	56
abstract_inverted_index.including	8, 141
abstract_inverted_index.isotropic	146
abstract_inverted_index.optimized	103
abstract_inverted_index.validated	79
abstract_inverted_index.Cramer-Rao	53
abstract_inverted_index.durations,	38
abstract_inverted_index.estimation	172
abstract_inverted_index.multilayer	27
abstract_inverted_index.optimizing	21, 159
abstract_inverted_index.parameters	161
abstract_inverted_index.perceptron	28
abstract_inverted_index.previously	91
abstract_inverted_index.resolution	147
abstract_inverted_index.Conclusion:	154
abstract_inverted_index.bound-based	54
abstract_inverted_index.constraints	59
abstract_inverted_index.estimation,	7
abstract_inverted_index.parameters,	23
abstract_inverted_index.performance	77
abstract_inverted_index.preparation	37
abstract_inverted_index.simulation,	81
abstract_inverted_index.demonstrated	157
abstract_inverted_index.experiments.	86
abstract_inverted_index.optimization	65
abstract_inverted_index.simultaneous	96, 138
abstract_inverted_index.multiparametric	6, 139
abstract_inverted_index.quantification,	13, 140
abstract_inverted_index.self-supervised	26, 47, 164
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	11
citation_normalized_percentile