From 1ea0a305e43fff73f9ae6903c360afbe4520c21b Mon Sep 17 00:00:00 2001 From: Andrey Fedorov Date: Fri, 20 Oct 2023 10:02:37 -0400 Subject: [PATCH] DOC: update readme and trigger GA --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 56f79e7e..45ba8854 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ dcmqi (DICOM (**dcm**) for Quantitative Imaging (**qi**)) is a collection of libraries and command line tools with minimum dependencies to support standardized communication of [quantitative image analysis](http://journals.sagepub.com/doi/pdf/10.1177/0962280214537333) research data using [DICOM standard](https://en.wikipedia.org/wiki/DICOM). -Specifically, the current focus of development for dcmqi is to support conversion of the following data types to and from DICOM: +Specifically, dcmqi can help you with the conversion of the following data types to and from DICOM: * voxel-based segmentations using [DICOM Segmentation IOD](http://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_A.51.html) * parametric maps using [DICOM Parametric map IOD](http://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_A.75.html) * image-based measurements using [DICOM Structured Reporting (SR) template TID1500](http://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_1500) @@ -19,7 +19,7 @@ As an introduction to the motivation, capabilities and advantages of using the D > Fedorov A, Clunie D, Ulrich E, Bauer C, Wahle A, Brown B, Onken M, Riesmeier J, Pieper S, Kikinis R, Buatti J, Beichel RR. (2016) DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research. *PeerJ* 4:e2057 https://doi.org/10.7717/peerj.2057 -dcmqi is developed and maintained by the [QIICR](http://qiicr.org) project. +dcmqi is developed and maintained by the [NCI Imaging Data Commons](https://imaging.datacommons.cancer.gov) project. # Getting started