Fast, accurate and reliable software for algebraic CT reconstruction

Related tags

Deep LearningKCT_cbct
Overview

KCT CBCT

Fast, accurate and reliable software for algebraic CT reconstruction.

This set of software tools includes OpenCL implementation of modern CT and CBCT reconstruction algorithms including unpublished algorithms by the author. Initially, the focus was on CT reconstruction using Krylov LSQR and CGLS methods. Gradually, other widely used methods such as OS-SIRT are added. Initially, the software was based on the idea of a projector that directly computes the projections of individual voxels onto pixels using the volume integrals of the voxel cuts. The author intends to publish a paper on this cutting voxel projector (CVP) in late 2021. However, the package also includes implementations of the TT projector and the Siddon projector the DD and TR projectors will be implemented in the near future. The code for the CVP projector is optimized using OpenCL local memory and is probably one of the fastest projector implementations ever for algebraic reconstruction.

The package has been tested and is compatible with the AMD Radeon VII Vega 20 GPU and NVIDIA GeForce RTX 2080 Ti GPU. Some routines have been optimized specifically for these GPU architectures. OpenCL code conforms to the OpenCL 1.2 specification and the implementation uses C++ wrappers from OpenCL 1.2. OpenCL 2.0 is not supported due to lack of support from NVidia.

Algorithms

Cutting voxel projector yet to be published.

LSQR algorithm was implemented according to https://doi.org/10.1002/nla.611

CGLS algorithm with delayed residual computation as described in the proceedings of Fully3D conference 2021 Software Implementation of the Krylov Methods Based Reconstruction for the 3D Cone Beam CT Operator Poster and extendend absract can be found in the publications directory

Repositories

The KCT package is hosted on Bitbucket and GitHub

GitHub public repository

git clone https://github.com/kulvait/KCT_cbct.git

Bitbucket public repository

git clone https://bitbucket.org/kulvait/kct_cbct.git

Submodules

Submodules lives in the submodules directory. To clone project including submodules one have to use the following commands

git submodule init
git submodule update

or use the following command when cloning repository

git clone --recurse-submodules

CTIOL

Input output routines for asynchronous thread safe reading/writing CT data. The DEN format read/write is implemented.

CTMAL

Mathematic/Algebraic algorithms for supporting CT data manipulation.

Plog logger

Logger Plog is used for logging. It is licensed under the Mozilla Public License Version 2.0.

CLI11

Comand line parser CLI11. It is licensed under 3 Clause BSD License.

Catch2

Testing framework. Licensed under Boost Software License 1.0.

CTPL

Threadpool library.

Documentation

Documentation is generated using doxygen and lives in doc directory. First the config file for doxygen was prepared runing doxygen -g. Doc files and this file can be written using Markdown syntax, JAVADOC_AUTOBRIEF is set to yes to treat first line of the doc comment as a brief description, comments are of the format

/**Brief description.
*
*Long description
*thay might span multiple lines.
*/

.

Licensing

When there is no other licensing and/or copyright information in the source files of this project, the following apply for the source files in the directories include and src and for CMakeLists.txt file:

Copyright (C) 2018-2021 Vojtěch Kulvait

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, version 3 of the License.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <https://www.gnu.org/licenses/>.

This licensing applies to the direct source files in the directories include and src of this project and not for submodules.

Owner
Vojtěch Kulvait
2018-2021 PostDoc at Magdeburg University, CT reconstruction
Vojtěch Kulvait
This is my codes that can visualize the psnr image in testing videos.

CVPR2018-Baseline-PSNRplot This is my codes that can visualize the psnr image in testing videos. Future Frame Prediction for Anomaly Detection – A New

Wenhao Yang 12 May 29, 2021
CS_Final_Metal_surface_detection - This is a final project for CoderSchool Machine Learning bootcamp on 29/12/2021.

CS_Final_Metal_surface_detection This is a final project for CoderSchool Machine Learning bootcamp on 29/12/2021. The project is based on the dataset

Cuong Vo 1 Dec 29, 2021
TreeSubstitutionCipher - Encryption system based on trees and substitution

Tree Substitution Cipher Generation Algorithm: Generate random tree. Tree nodes

stepa 1 Jan 08, 2022
A Java implementation of the experiments for the paper "k-Center Clustering with Outliers in Sliding Windows"

OutliersSlidingWindows A Java implementation of the experiments for the paper "k-Center Clustering with Outliers in Sliding Windows" Dataset generatio

PaoloPellizzoni 0 Jan 05, 2022
Continual Learning of Electronic Health Records (EHR).

Continual Learning of Longitudinal Health Records Repo for reproducing the experiments in Continual Learning of Longitudinal Health Records (2021). Re

Jacob 7 Oct 21, 2022
FCN (Fully Convolutional Network) is deep fully convolutional neural network architecture for semantic pixel-wise segmentation

FCN_via_Keras FCN FCN (Fully Convolutional Network) is deep fully convolutional neural network architecture for semantic pixel-wise segmentation. This

Kento Watanabe 48 Aug 30, 2022
A cross-lingual COVID-19 fake news dataset

CrossFake An English-Chinese COVID-19 fake&real news dataset from the ICDMW 2021 paper below: Cross-lingual COVID-19 Fake News Detection. Jiangshu Du,

Yingtong Dou 11 Dec 01, 2022
FastFace: Lightweight Face Detection Framework

Light Face Detection using PyTorch Lightning

Ömer BORHAN 75 Dec 05, 2022
Python script that takes an Impulse response .wav and a input .wav to demonstrate audio convolution.

convolver Python script that takes an Impulse response .wav and a input .wav to demonstrate audio convolution. Created by Sean Higley

Sean Higley 1 Feb 23, 2022
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree

CatBoost 6.9k Jan 04, 2023
QuakeLabeler is a Python package to create and manage your seismic training data, processes, and visualization in a single place — so you can focus on building the next big thing.

QuakeLabeler Quake Labeler was born from the need for seismologists and developers who are not AI specialists to easily, quickly, and independently bu

Hao Mai 15 Nov 04, 2022
Deploy a ML inference service on a budget in less than 10 lines of code.

BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end.

1.3k Dec 25, 2022
Mercury: easily convert Python notebook to web app and share with others

Mercury Share your Python notebooks with others Easily convert your Python notebooks into interactive web apps by adding parameters in YAML. Simply ad

MLJAR 2.2k Dec 27, 2022
Graph parsing approach to structured sentiment analysis.

Fine-grained Sentiment Analysis as Dependency Graph Parsing This repository contains the code and datasets described in following paper: Fine-grained

Jeremy Barnes 36 Dec 12, 2022
Predictive Modeling on Electronic Health Records(EHR) using Pytorch

Predictive Modeling on Electronic Health Records(EHR) using Pytorch Overview Although there are plenty of repos on vision and NLP models, there are ve

81 Jan 01, 2023
When in Doubt: Improving Classification Performance with Alternating Normalization

When in Doubt: Improving Classification Performance with Alternating Normalization Findings of EMNLP 2021 Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoa

Menglin Jia 13 Nov 06, 2022
PyTorch and GPyTorch implementation of the paper "Conditioning Sparse Variational Gaussian Processes for Online Decision-making."

Conditioning Sparse Variational Gaussian Processes for Online Decision-making This repository contains a PyTorch and GPyTorch implementation of the pa

Wesley Maddox 16 Dec 08, 2022
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Exposure: A White-Box Photo Post-Processing Framework ACM Transactions on Graphics (presented at SIGGRAPH 2018) Yuanming Hu1,2, Hao He1,2, Chenxi Xu1,

Yuanming Hu 719 Dec 29, 2022
DRIFT is a tool for Diachronic Analysis of Scientific Literature.

About DRIFT is a tool for Diachronic Analysis of Scientific Literature. The application offers user-friendly and customizable utilities for two modes:

Rajaswa Patil 108 Dec 12, 2022
Garbage Detection system which will detect objects based on whether it is plastic waste or plastics or just garbage.

Garbage Detection using Yolov5 on Jetson Nano 2gb Developer Kit. Garbage detection system which will detect objects based on whether it is plastic was

Rishikesh A. Bondade 2 May 13, 2022