Age‐specific optimization of the T2‐weighted MRI contrast in infant and toddler brain.
Saved in:
| Title: | Age‐specific optimization of the T |
|---|---|
| Authors: | Wu, Jiani1 (AUTHOR), Qin, Fenjie2 (AUTHOR), Tian, Fengyu2 (AUTHOR), Li, Haotian1 (AUTHOR), Yong, Xingwang1 (AUTHOR), Liu, Tingting1 (AUTHOR), Zhang, Hongxi2 (AUTHOR), Wu, Dan1,2 (AUTHOR) danwu.bme@zju.edu.cn |
| Source: | Magnetic Resonance in Medicine. Mar2025, Vol. 93 Issue 3, p1014-1025. 12p. |
| Subjects: | Age groups, Graph algorithms, Gray matter (Nerve tissue), White matter (Nerve tissue), Toddlers |
| Abstract: | Purpose: In 0–2‐year‐old brains, the T2‐weighted (T2w) contrast between white matter (WM) and gray matter (GM) is weaker compared with that in adult brains and rapidly changes with age. This study aims to design variable‐flip‐angle (VFA) trains in 3D fast spin‐echo sequence that adapt to the dynamically changing relaxation times to improve the contrast in the T2w images of the developing brains. Methods: T1 and T2 relaxation times in 0–2‐year‐old brains were measured, and several age groups were defined according to the age‐dependent pattern of T2 values. Based on the static pseudo‐steady‐state theory and the extended phase graph algorithm, VFA trains were designed for each age group to maximize WM/GM contrast, constrained by the maximum specific absorption rate and overall signal intensity. The optimized VFA trains were compared with the default one used for adult brains based on the relative contrast between WM and GM. Dice coefficient was used to demonstrate the advantage of contrast‐improved images as inputs for automatic tissue segmentation in infant brains. Results: The 0–2‐year‐old pool was divided into groups of 0–8 months, 8–12 months, and 12–24 months. The optimal VFA trains were tested in each age group in comparison with the default sequence. Quantitative analyses demonstrated improved relative contrasts in infant and toddler brains by 1.5–2.3‐fold at different ages. The Dice coefficient for contrast‐optimized images was improved compared with default images (p < 0.001). Conclusion: An effective strategy was proposed to improve the 3D T2w contrast in 0–2‐year‐old brains. [ABSTRACT FROM AUTHOR] |
| Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 181922281 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Age‐specific optimization of the T<subscript>2</subscript>‐weighted MRI contrast in infant and toddler brain. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wu%2C+Jiani%22">Wu, Jiani</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qin%2C+Fenjie%22">Qin, Fenjie</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tian%2C+Fengyu%22">Tian, Fengyu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Haotian%22">Li, Haotian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yong%2C+Xingwang%22">Yong, Xingwang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Tingting%22">Liu, Tingting</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Hongxi%22">Zhang, Hongxi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Dan%22">Wu, Dan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> danwu.bme@zju.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Mar2025, Vol. 93 Issue 3, p1014-1025. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Age+groups%22">Age groups</searchLink><br /><searchLink fieldCode="DE" term="%22Graph+algorithms%22">Graph algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Gray+matter+%28Nerve+tissue%29%22">Gray matter (Nerve tissue)</searchLink><br /><searchLink fieldCode="DE" term="%22White+matter+%28Nerve+tissue%29%22">White matter (Nerve tissue)</searchLink><br /><searchLink fieldCode="DE" term="%22Toddlers%22">Toddlers</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: In 0–2‐year‐old brains, the T2‐weighted (T2w) contrast between white matter (WM) and gray matter (GM) is weaker compared with that in adult brains and rapidly changes with age. This study aims to design variable‐flip‐angle (VFA) trains in 3D fast spin‐echo sequence that adapt to the dynamically changing relaxation times to improve the contrast in the T2w images of the developing brains. Methods: T1 and T2 relaxation times in 0–2‐year‐old brains were measured, and several age groups were defined according to the age‐dependent pattern of T2 values. Based on the static pseudo‐steady‐state theory and the extended phase graph algorithm, VFA trains were designed for each age group to maximize WM/GM contrast, constrained by the maximum specific absorption rate and overall signal intensity. The optimized VFA trains were compared with the default one used for adult brains based on the relative contrast between WM and GM. Dice coefficient was used to demonstrate the advantage of contrast‐improved images as inputs for automatic tissue segmentation in infant brains. Results: The 0–2‐year‐old pool was divided into groups of 0–8 months, 8–12 months, and 12–24 months. The optimal VFA trains were tested in each age group in comparison with the default sequence. Quantitative analyses demonstrated improved relative contrasts in infant and toddler brains by 1.5–2.3‐fold at different ages. The Dice coefficient for contrast‐optimized images was improved compared with default images (p < 0.001). Conclusion: An effective strategy was proposed to improve the 3D T2w contrast in 0–2‐year‐old brains. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=181922281 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/mrm.30339 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1014 Subjects: – SubjectFull: Age groups Type: general – SubjectFull: Graph algorithms Type: general – SubjectFull: Gray matter (Nerve tissue) Type: general – SubjectFull: White matter (Nerve tissue) Type: general – SubjectFull: Toddlers Type: general Titles: – TitleFull: Age‐specific optimization of the T2‐weighted MRI contrast in infant and toddler brain. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wu, Jiani – PersonEntity: Name: NameFull: Qin, Fenjie – PersonEntity: Name: NameFull: Tian, Fengyu – PersonEntity: Name: NameFull: Li, Haotian – PersonEntity: Name: NameFull: Yong, Xingwang – PersonEntity: Name: NameFull: Liu, Tingting – PersonEntity: Name: NameFull: Zhang, Hongxi – PersonEntity: Name: NameFull: Wu, Dan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 07403194 Numbering: – Type: volume Value: 93 – Type: issue Value: 3 Titles: – TitleFull: Magnetic Resonance in Medicine Type: main |
| ResultId | 1 |