Calculate the voxel volume for the following pulse sequence: TR 2000, TE 85, FOV 24cm, Matrix 272 x 320, 3mm slice thickness, 3 NSA.

Calculate the voxel volume for the following pulse sequence: TR 2000, TE 85, FOV 24cm, Matrix 272 x 320, 3mm slice thickness, 3 NSA.

• A. 1.5 mm3
• B. 1.98 mm3
• C. 2.5 mm3
• D. 3.0 mm3

Answer: (B)

To calculate the voxel volume in an MRI pulse sequence, you need to determine the dimensions of the voxel based on the given parameters: field of view (FOV), matrix size, and slice thickness. The voxel volume can be calculated using the formula: \[ \text{Voxel Volume} = \text{(Slice Thickness)} \times \left( \frac{\text{FOV}}{\text{Matrix Width}} \right) \times \left( \frac{\text{FOV}}{\text{Matrix Height}} \right) \] Here’s how we can compute this step-by-step with the provided information: 1. **Slice Thickness**: This is given as 3 mm. 2. **Field of View (FOV)**: The FOV is given as 24 cm, which needs to be converted to mm for consistency in units. Therefore, 24 cm = 240 mm. 3. **Matrix Size**: The matrix dimensions are 272 x 320. - The voxel width (in mm) can be calculated: \[ \text{Voxel Width} = \frac{\text{FOV (width)}}{\text{Matrix Width}} = \frac

To calculate the voxel volume in an MRI pulse sequence, you need to determine the dimensions of the voxel based on the given parameters: field of view (FOV), matrix size, and slice thickness.

The voxel volume can be calculated using the formula:

[ \text{Voxel Volume} = \text{(Slice Thickness)} \times \left( \frac{\text{FOV}}{\text{Matrix Width}} \right) \times \left( \frac{\text{FOV}}{\text{Matrix Height}} \right) ]

Here’s how we can compute this step-by-step with the provided information:

1. Slice Thickness: This is given as 3 mm.

2. Field of View (FOV): The FOV is given as 24 cm, which needs to be converted to mm for consistency in units. Therefore, 24 cm = 240 mm.

3. Matrix Size: The matrix dimensions are 272 x 320.

• The voxel width (in mm) can be calculated:

[

\text{Voxel Width} = \frac{\text{FOV (width)}}{\text{Matrix Width}} = \frac