We recently had a new detector installed in our micro-CT machine that has resulted in significantly higher dataset sizes (from 0.5-1.0GB to 10GB). While this is really nice from a resolution and dynamic range point of view, working with big datasets has its challenges. Some studies need the full dy…

“Simple filters” module offers a number of filters intensity rescaling, which can be used for compressing dynamic range of the image. Try RescaleIntensityFilter, IntensityWindowingFilter, ShiftScaleImageFilter, etc. You can get the currently displayed window/level (or min/max) value from Volumes mo…

Ah, ok - simple filters is a great idea, thanks! 2x reduction might not seem like a lot, but it’s enough to make the data useable. Dumb question - can you convert 16 bit data to 8 bit data within Slicer? I’ve always used Fiji for this…

[image] hherhold: can you convert 16 bit data to 8 bit data within Slicer? You can use “Cast scalar volume” module (or CastImageFilter in Simple Filters module) to change scalar type of a volume (16-bit short to 8-bit char).

Awesome! Thanks (again), Andras!

Here is a sequence of steps to correctly convert 16bit to 8bit: https://github.com/SlicerMorph/W_2020/tree/master/Lab11_SlicerPlusPlus#rescalecast

Oh, that’s perfect! Thanks very much! -Hollister

[image] tsehrhardt: Here is a sequence of steps to correctly convert 16bit to 8bit This is very nice! I have submitted a pull request with a few minor corrections.

Image quantization techniques?

Support

Topic		Replies	Views
Compute volume in image Support	3	390	May 5, 2022
Prostate MRI-US Contour Propagation 8 bits export Support	5	321	July 7, 2020
MicroCT--Rescale, Resample Support	4	1344	November 2, 2020
CT data type, why int16? Support	1	237	February 25, 2024
Change display range of .raw file Support	20	2550	August 9, 2019

Image quantization techniques?

Related topics