From c17cb2d4022083af712262b1e92f1c2fdd7899bd Mon Sep 17 00:00:00 2001 From: Andreu Date: Tue, 27 Apr 2021 18:44:41 -0400 Subject: [PATCH] Adding links to our recent publications. --- README.md | 23 ++++++++++++++++++++++- 1 file changed, 22 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 2b677e5..ba7a52d 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,24 @@ +# LATEST NEWS! + +A peer-reviewed article describing the VICTRE_MCGPU software has been published. +The article is open-access so that everybody can read and understand how the code works and its limitations. +We would appreciate it if you cite this work in your own publications using the software: + + - _Andreu Badal, Diksha Sharma, Christian G.Graff, Rongping Zeng, and Aldo Badano, Mammography and breast tomosynthesis simulator for virtual clinical trials, +Computer Physics Communications 261, p. 107779 (2021)_ +https://doi.org/10.1016/j.cpc.2020.107779 + +Another key publication describing the results of our VICTRE pivotal virtual imaging clinical trial was also published, and provides essential information to understand this software project: + + - _Aldo Badano, Christian G. Graff, Andreu Badal, Diksha Sharma, Rongping Zeng, Frank W. Samuelson, Stephen J. Glick, Kyle J. Myers, +Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial, +JAMA Network Open 7, p. e185474 (2018)_ +https://doi:10.1001/jamanetworkopen.2018.5474 + +For a simplified method to run this software and the rest of the VICTRE tools, check the Python class in this new repository from our group: +https://github.com/DIDSR/VICTRE_PIPELINE + + # MC-GPU_v1.5b: VICTRE pivotal study simulations This version of MC-GPU was developed exclusively to replicate as realistically as possible a Siemens Mammomat Inspiration system for the Virtual Imaging Clinical Trial for Regulatory Evaluation (VICTRE) project. @@ -11,7 +32,7 @@ Some of the improvements implemented in this version of MC-GPU compared to previ - Optional anti-scatter grid model. - Amorphous Selenium direct detector model: depth of interaction, fluorescence escape, charge generation, Swank factor, electronic noise. - Voxelized phantoms stored in memory usig a binary tree structure to save memory. -- *Limitation: material densities hardcoded for Graff's phantom composition.* +- Old version limitation: material densities hardcoded for Graff's phantom composition. *New version: new input file allows user-defined materials and densities.* ## Disclaimer