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| library:slice_thickness [2025/07/08 17:38] – scott | library:slice_thickness [2026/05/26 14:26] (current) – scott | ||
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| - A gradient is imposed perpendicular to the desired slice; this changes the Larmor Frequency along that direction linearly. This is known as the slice select gradient. | - A gradient is imposed perpendicular to the desired slice; this changes the Larmor Frequency along that direction linearly. This is known as the slice select gradient. | ||
| - | - Once the Slice Select gradient is activated, a range of frequencies | + | - At the same time as the Slice Select gradient is activated, a radiofrequency pulse will be played out over a few thousand hz, corresponding to the desired slice thickness. This is known as the RF transmit bandwidth. |
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| + | By modifying either the transmit bandwidth and the strength of the slice select | ||
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| + | ====Slice Thickness in 2D and 3D imaging==== | ||
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| + | Most veterinary imaging is done in 2D mode, meaning that each slice is excited and encoded separately from the other slices, and all signal generated will be from within that slice volume. This, among other pulse sequence factors, inherently limits how thin a slice can be achieved in a reasonable amount of time. For most purposes, a 2mm slice is as thin as is practically possibly for a 2D sequence. For slices thinner | ||
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| + | Unlike 2D imaging, a sequence in 3D mode will excite a whole volume of tissue and then differentiate slices with an additional slice encoding gradient, resulting in a much more efficient SNR per slice. __This adds a useful property to 3D imaging: More slices coverage = more SNR__. If thin slices are needed with 3D imaging, more slices can be added to increase SNR and improve image quality at the cost of additional imaging time. Conversely, and importantly, | ||
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| + | ====How to Use Slice Thickness==== | ||
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| + | As mentioned earlier, slice thickness is a major controller of Signal to Noise Ratio and of the volume averaging artifact. So what is the appropriate slice thickness to choose for any given situation? It depends, but there are some rough guidelines. Generally, the slice thickness should be chosen to at least match the expected size of the smallest pathology of interest and the anatomy to be imaged. Once that has been determined, other factors controlling SNR such as bandwidth, resolution, and averages/ | ||
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| + | Spine Imaging, Sagittal Plane: | ||
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| + | * Extra small (< | ||
| + | * Small (10-20lbs): 2.5mm | ||
| + | * Medium (20-40lbs) 3mm | ||
| + | * Large (40+lbs) 3-3.5mm | ||
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| + | Spine Imaging Axial Plane: | ||
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| + | * Extra Small (< | ||
| + | * Small (10-20lbs): 3mm | ||
| + | * Medium (20-40lbs): 3mm | ||
| + | * Large (40-100lbs): | ||
| + | * Extra Large (100+ lbs): 4mm | ||
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| + | Brain Imaging, All Planes: | ||
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| + | * Extra Small (< | ||
| + | * Small (10-20lbs): 3mm | ||
| + | * Medium (20-40lbs) 3mm | ||
| + | * Large (40+lbs): 3.5mm | ||
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| + | ====Examples of Slice Thickness Effects==== | ||
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| + | In the example slide below, notice the ' | ||
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| + | In the example below are two 3D acquisitions side by side; notice the difference between the dorsal reconstructions; | ||
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| + | In the example below, notice the changes between the two acquisitions; | ||
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| + | Below is a GIF of slice thickness being changed from 1mm to 15mm thick in a slice of tomato; pay attention to how small anatomy like the tomato seeds are affected by the slice thickness. The seeds are analogous to small disc extrusions, etc. | ||
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