Identification of 'black hole' T1 hypointense lesions using different intensity thresholds on gradient-echo T1w MRI

Vanessa Wiggermann; Mie Arnau  Martinez; Jasmin Merhout; Jeppe Romme Christensen; Morten Bjørn Blinkenberg; Finn Thorup Sellebjerg; Henrik Lundell; Hartwig R. Siebner

Identification of 'black hole' T1 hypointense lesions using different intensity thresholds on gradient-echo T1w MRI

Vanessa Wiggermann, Mie Arnau Martinez, Jasmin Merhout, Jeppe Romme Christensen, Morten Bjørn Blinkenberg, Finn Thorup Sellebjerg, Henrik Lundell, Hartwig R. Siebner

Abstract

Black holes (BHs), T1 hypointense lesions, are known predictors of multiple sclerosis disease severity, however, their identification is strongly intensity dependent. As traditional spin-echo T1 scans are being replaced by 3D gradient-echo images, we need to understand how hypointense lesions on these images compare. We assessed whether an intensity threshold for MPRAGE images exists that would allow to match spin-echo black hole definitions. Simple thresholding was only able to reproduce black hole segmentations to an intermediate degree.

Original language	English
Publication date	9 May 2022
Number of pages	1
Publication status	Published - 9 May 2022
Event	Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting - London, Englnd, UK Duration: 7 May 2022 → 12 May 2022 https://www.ismrm.org/22m/

Conference

Conference	Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting
Location	London, Englnd, UK
Period	07/05/2022 → 12/05/2022
Internet address	https://www.ismrm.org/22m/

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Identification of 'black hole' T1 hypointense lesions using different intensity thresholds on gradient-echo T1w MRI. / Wiggermann, Vanessa ; Martinez, Mie Arnau ; Merhout, Jasmin et al.

2022. 1-1 Abstract from Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting.

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

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abstract = "Black holes (BHs), T1 hypointense lesions, are known predictors of multiple sclerosis disease severity, however, their identification is strongly intensity dependent. As traditional spin-echo T1 scans are being replaced by 3D gradient-echo images, we need to understand how hypointense lesions on these images compare. We assessed whether an intensity threshold for MPRAGE images exists that would allow to match spin-echo black hole definitions. Simple thresholding was only able to reproduce black hole segmentations to an intermediate degree.",

author = "Vanessa Wiggermann and Martinez, {Mie Arnau} and Jasmin Merhout and Christensen, {Jeppe Romme} and Blinkenberg, {Morten Bj{\o}rn} and Sellebjerg, {Finn Thorup} and Henrik Lundell and Siebner, {Hartwig R.}",

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T1 - Identification of 'black hole' T1 hypointense lesions using different intensity thresholds on gradient-echo T1w MRI

AU - Wiggermann, Vanessa

AU - Martinez, Mie Arnau

AU - Merhout, Jasmin

AU - Christensen, Jeppe Romme

AU - Blinkenberg, Morten Bjørn

AU - Sellebjerg, Finn Thorup

AU - Lundell, Henrik

AU - Siebner, Hartwig R.

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N2 - Black holes (BHs), T1 hypointense lesions, are known predictors of multiple sclerosis disease severity, however, their identification is strongly intensity dependent. As traditional spin-echo T1 scans are being replaced by 3D gradient-echo images, we need to understand how hypointense lesions on these images compare. We assessed whether an intensity threshold for MPRAGE images exists that would allow to match spin-echo black hole definitions. Simple thresholding was only able to reproduce black hole segmentations to an intermediate degree.

AB - Black holes (BHs), T1 hypointense lesions, are known predictors of multiple sclerosis disease severity, however, their identification is strongly intensity dependent. As traditional spin-echo T1 scans are being replaced by 3D gradient-echo images, we need to understand how hypointense lesions on these images compare. We assessed whether an intensity threshold for MPRAGE images exists that would allow to match spin-echo black hole definitions. Simple thresholding was only able to reproduce black hole segmentations to an intermediate degree.

UR - https://archive.ismrm.org/2022/0783.html

M3 - Conference abstract for conference

SP - 1

EP - 1

T2 - Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting

Y2 - 7 May 2022 through 12 May 2022

ER -

Identification of 'black hole' T1 hypointense lesions using different intensity thresholds on gradient-echo T1w MRI

Abstract

Conference

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