The Effect of Voxel Volume and Voxel Shape on Cardiac Diffusion Tensor Imaging Metrics

In vivo differences in SNR slopes suggest a physiological bias-dominated environment. The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mn>2</mml:mn> <mml:mo>.</mml:mo> <mml:mn>5</mml:mn> <mml:mo>×</mml:mo> <mml:mn>2</mml:mn> <mml:mo>.</mml:mo> <mml:mn>5</mml:mn> <mml:mo>×</mml:mo> <mml:mn>8</mml:mn></mml:mrow> <mml:annotation>$$ 2.5\times 2.5\times 8 $$</mml:annotation></mml:semantics> </mml:math> mm <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msup><mml:mo> </mml:mo> <mml:mrow><mml:mn>3</mml:mn></mml:mrow> </mml:msup> </mml:mrow> <mml:annotation>$$ {}^3 $$</mml:annotation></mml:semantics> </mml:math> voxel configuration had the lowest uncertainties (highest TOPSIS score), followed by <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mn>2</mml:mn> <mml:mo>.</mml:mo> <mml:mn>0</mml:mn> <mml:mo>×</mml:mo> <mml:mn>2</mml:mn> <mml:mo>.</mml:mo> <mml:mn>0</mml:mn> <mml:mo>×</mml:mo> <mml:mn>8</mml:mn></mml:mrow> <mml:annotation>$$ 2.0\times 2.0\times 8 $$</mml:annotation></mml:semantics> </mml:math> mm <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msup><mml:mo> </mml:mo> <mml:mrow><mml:mn>3</mml:mn></mml:mrow> </mml:msup> </mml:mrow> <mml:annotation>$$ {}^3 $$</mml:annotation></mml:semantics> </mml:math> . This work provides a framework for evaluating the best cDTI voxel configuration.

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Publication Details

Journal
Magnetic Resonance in Medicine
Published
2025-11-23
DOI
https://doi.org/10.1002/mrm.70189
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
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article

The Effect of Voxel Volume and Voxel Shape on Cardiac Diffusion Tensor Imaging Metrics

Ariel Hannum, Daniel B. Ennis, Tyler E. Cork, Kawin Setsompop
Magnetic Resonance in Medicine
Advanced Neuroimaging Techniques and Applications
article

The Effect of Voxel Volume and Voxel Shape on Cardiac Diffusion Tensor Imaging Metrics

Ariel Hannum, Daniel B. Ennis, Tyler E. Cork, Kawin Setsompop
article en

Abstract

In vivo differences in SNR slopes suggest a physiological bias-dominated environment. The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mn>2</mml:mn> <mml:mo>.</mml:mo> <mml:mn>5</mml:mn> <mml:mo>×</mml:mo> <mml:mn>2</mml:mn> <mml:mo>.</mml:mo> <mml:mn>5</mml:mn> <mml:mo>×</mml:mo> <mml:mn>8</mml:mn></mml:mrow> <mml:annotation>$$ 2.5\times 2.5\times 8 $$</mml:annotation></mml:semantics> </mml:math> mm <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msup><mml:mo> </mml:mo> <mml:mrow><mml:mn>3</mml:mn></mml:mrow> </mml:msup> </mml:mrow> <mml:annotation>$$ {}^3 $$</mml:annotation></mml:semantics> </mml:math> voxel configuration had the lowest uncertainties (highest TOPSIS score), followed by <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mn>2</mml:mn> <mml:mo>.</mml:mo> <mml:mn>0</mml:mn> <mml:mo>×</mml:mo> <mml:mn>2</mml:mn> <mml:mo>.</mml:mo> <mml:mn>0</mml:mn> <mml:mo>×</mml:mo> <mml:mn>8</mml:mn></mml:mrow> <mml:annotation>$$ 2.0\times 2.0\times 8 $$</mml:annotation></mml:semantics> </mml:math> mm <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msup><mml:mo> </mml:mo> <mml:mrow><mml:mn>3</mml:mn></mml:mrow> </mml:msup> </mml:mrow> <mml:annotation>$$ {}^3 $$</mml:annotation></mml:semantics> </mml:math> . This work provides a framework for evaluating the best cDTI voxel configuration.

Magnetic Resonance in MedicineVol. 95(4)
VA Palo Alto Health Care System (US), Cardiovascular Institute of the South (US), Stanford University (US)
Openalex Percentile: Top 49%
Advanced Neuroimaging Techniques and Applications
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The Effect of Voxel Volume and Voxel Shape on Cardiac Diffusion Tensor Imaging Metrics — Ariel Hannum, Daniel B. Ennis, et al. · Magnetic Resonance in Medicine (2025) | TGRS Research Map | TGRS