RNifti | Fast R and C++ access to NIfTI images | Computer Vision library

by jonclayden C Version: v1.4.5 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | RNifti Summary

RNifti is a C library typically used in Artificial Intelligence, Computer Vision applications. RNifti has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The NIfTI-1 format is a popular file format for storing medical imaging data, widely used in medical research and related fields. Conceptually, a NIfTI-1 file incorporates multidimensional numeric data, like an R array, but with additional metadata describing the real-space resolution of the image, the physical orientation of the image, and how the image should be interpreted. The NIfTI-2 format was a later revision mostly to use wider data types for very large images. There are several packages available for reading and writing NIfTI-1 files in R, and these are summarised in the Medical Imaging task view. However, RNifti is distinguished by its. The latest development version of the package can always be installed from GitHub using the remotes package.

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Support

RNifti has a low active ecosystem.

It has 37 star(s) with 13 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 21 have been closed. On average issues are closed in 9 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RNifti is v1.4.5

Quality

RNifti has 0 bugs and 0 code smells.

Security

RNifti has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

RNifti code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

RNifti does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

RNifti releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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RNifti Key Features

No Key Features are available at this moment for RNifti.

RNifti Examples and Code Snippets

No Code Snippets are available at this moment for RNifti.

Community Discussions

Trending Discussions on RNifti

Find and Replace number to NA in array R

QUESTION

Find and Replace number to NA in array R

Asked 2021-Jun-09 at 16:35

I have some NifTi files of brain images where there are lots of zeros that I want to replace with NAs but I'm not sure how to do it. I read in the description of the is.na() function that: "the generic function is.na<- sets elements to NA" so I thought I could use that, but it didn't work. Here is specifically what I tried:

...

ANSWER

Answered 2021-Jun-08 at 22:19

Here are some possible option to replace 0 by NA

Source https://stackoverflow.com/questions/67894954

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install RNifti

You can download it from GitHub.

Support

The NIfTI standard supports composite types such as complex-valued and RGB images, and support for these was added in version 1.0.0 of this package. Complex data is exposed to R using the standard complex vector type:. R's native representation for RGB values is CSS-style hex strings of character mode, which are reasonably space-efficient (8 or 10 bytes per value) but a little clunky to work with. For efficiency of interchange between R and the NIfTI-internal datatypes, RNifti uses a byte-packed representation of integer mode instead, which takes up 4 bytes per value. Of course, the viewer understands this format. Notice that values are shown in the viewer using R's conventional hex string format, but the data is of class rgbArray. The function of the same name can be used to create these arrays from strings or channel values, for the purposes of building RGB images from data, while the as.character method and channels function perform the opposite conversions. RGB images with an alpha (opacity) channel are also supported.

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