Hi guys, firstly I would like to acknowledge the great work the Slicer team is doing. The software is really great!
I am from a startup company from Brazil that is working with CT images of rock samples from well cores (133mm of diameter per 900mm of length), core plugs (1 in. in diameter by 2 in length) and micro plugs (3mm in diameter). Slicer is being really helpful in loading the data and manipulating it.
For the well cores case, we need to load a lot of them inside slicer for processing. They are the rock cylindrical core of a oil well, which can be several hundred meters long (region of interest only). Therefore, we need to load several hundred cores inside slicer to process, visualize and interpret them as a whole set.
Now to my question: What is the fastest way to load them inside slicer. I don’t care about dicom metadata, and patient IDs or stuff like that. I only care about the pixel size and slice distance for maintaining the original size and distances inside the image.
I’ve been doing with a temporary dataset as suggested by cpinter How to convert dicom files to nrrd
The idea is to load the volume and do not work with dicom anymore.