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Table 1 MRI acquisition parameters

From: The efficacy of deep learning models in the diagnosis of endometrial cancer using MRI: a comparison with radiologists

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Sequence

Cross-section

Type

TR/TE (ms)

FA (degree)

Slice/Gap (mm)

FOV (mm)

Matrix

Ingenia® 3.0 T

T2WI

Sg

2D-TSE

1400/110

90

3–5/0.3–0.5

280

640 × 640

 

T2WI

Ax

2D-TSE

4955–5789/100–110

90

3–5/0.3–0.5

280

704 × 704

 

DWI

Ax

EPI

6500–7500/77–79

90

3–5/0.3–0.5

280

224 × 224

 

CE-T1WI

Sg

3D-GRE SPIR

4/2

10

3.3/1.6

280

576 × 576

 

CE-T1WI

Ax

3D-GRE SPIR

4/2

10

3.3/1.6

280

576 × 576

Achiva® 1.5 T

T2WI

Sg

2D-TSE

1400/100–110

90

3–5/0.3–0.5

280

512 × 512–640 × 640

 

T2WI

Ax

2D-TSE

1400–6013/100–110

90

3–5/0.3–0.5

280

512 × 512–704 × 704

 

DWI

Ax

EPI

3963–7500/70–77

90

3–5/0.3–0.5

280

224 × 224–256 × 256

 

CE-T1WI

Sg

3D-GRE SPIR

4–5/2

15

4.4/2.2

280

336 × 336–576 × 576

 

CE-T1WI

Ax

3D-GRE SPIR

5/2

15

2/1

250–280

320 × 320–576 × 576

  1. T2WI, T2 weighted image; DWI, Diffusion-weighted image; CE-T1WI, contrast-enhanced T1 weighted image; TR, repetition time; TE, echo time; FA, flip angle; FOV, field of view; Sg, sagittal; Ax, axial; TSE, turbo-spin echo;.EPI, echo planar imaging; GRE SPIR, gradient echo spectral pre-saturation with inversion recovery