<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>tao-lan.r-universe.dev</title><link>https://tao-lan.r-universe.dev</link><description>Recent package updates in tao-lan</description><generator>R-universe</generator><image><url>https://github.com/tao-lan.png</url><title>R packages by tao-lan</title><link>https://tao-lan.r-universe.dev</link></image><lastBuildDate>Fri, 23 Oct 2026 14:36:00 GMT</lastBuildDate><item><title>[tao-lan] osirad 0.1.0</title><author>lantao32405@gmail.com (Tao Lan)</author><description>Reads regions of interest (ROIs) drawn in the 'OsiriX'
medical image viewer and exported as XML files, and recovers
the exact voxels of each ROI on the positron emission
tomography (PET) series stored as Digital Imaging and
Communications in Medicine (DICOM) files. The voxels are found
by matching the voxel values stored in the XML file to the
standardised uptake values (SUV) computed from the DICOM
header. The resulting voxel table (positions in pixels and
millimetres, and SUV) can be passed to the 'Python' library
'PyRadiomics' (van Griethuysen et al. (2017)
&lt;doi:10.1158/0008-5472.CAN-17-0339&gt;) through 'reticulate' to
compute radiomics features.</description><link>https://github.com/r-universe/tao-lan/actions/runs/42476705912</link><pubDate>Fri, 23 Oct 2026 14:36:00 GMT</pubDate><r:package>osirad</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://tao-lan.r-universe.dev</r:repository><r:upstream>https://github.com/tao-lan/osirad</r:upstream><r:article><r:source>osirad.Rmd</r:source><r:filename>osirad.html</r:filename><r:title>From 'OsiriX' ROIs to PET voxels and radiomics features</r:title><r:created>2026-10-23 12:07:10</r:created><r:modified>2026-10-23 12:07:10</r:modified></r:article></item></channel></rss>