DicomAnnotator: a Configurable Open-Source Software Program for Efficient DICOM Image Annotation

Abstract. The analysis of aircraft-based measurements of clouds are critical for studies of aerosol and clouds. Many such measurements have been taken, but it is difficult to compare such data across instruments, flights and campaigns. We present a new open-source software program, SAMAC (Software for Airborne Measurements of Aerosol and Clouds), that may enable a more generic approach to the analysis of aerosol-cloud-precipitation data. The software offers a faster and standardized approach to the analysis of aircraft measurements of clouds across campaigns. SAMAC is an object-oriented software program in which a cloud is an object. The cloud objects come with built-in methods and properties that allow for the quick generation of basic plots and calculations, which provide a quick view of the data set and may be used to compare clouds and to filter for specific characteristics. Other researchers are encouraged to apply the software to their data and to contribute to its improvement. SAMAC can be downloaded at https://github.com/StephGagne/SAMAC/releases.

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Software to analyze the relationship between aerosol, clouds, and precipitation: SAMAC

Atmospheric Measurement Techniques ◽

10.5194/amt-9-619-2016 ◽

2016 ◽

Vol 9 (2) ◽

pp. 619-630 ◽

Cited By ~ 2

Author(s):

S. Gagné ◽

L. P. MacDonald ◽

W. R. Leaitch ◽

J. R. Pierce

Keyword(s):

Open Source ◽

Open Source Software ◽

Object Oriented ◽

Precipitation Data ◽

Aircraft Measurements ◽

Data Set ◽

Cloud Structure ◽

Airborne Measurements ◽

Software Program ◽

The Relationship

Abstract. The analysis of aircraft-based measurements of clouds is critical for studies of aerosol and of clouds. Many such measurements have been taken, but it is difficult to compare such data across instruments, flights and campaigns. We present a new open-source software program, SAMAC (Software for Airborne Measurements of Aerosol and Clouds), that may enable a more systematic and comparable approach to the analysis of aerosol–cloud–precipitation data. The software offers a cooperative and reproducible approach to the analysis of aircraft measurements of clouds across campaigns. SAMAC is an object-oriented software program in which a cloud is an object; all the data related to a cloud is contained in the cloud object. The cloud objects come with built-in methods and functions that allow for the quick generation of basic plots and calculations, SAMAC provides a quick view of the data set and may be used to compare clouds and to filter for specific characteristics. Other researchers can readily use already submitted algorithms once their data is placed in the cloud structure provided, and they can contribute their own algorithms to the software for others to see and use. This approach would improve comparability, reproducibility and transparency by allowing others to replicate results and test the same algorithms on different data. SAMAC can be downloaded at https://github.com/StephGagne/SAMAC/releases.

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DICOM-based medical image repository using DSpace

Collection and Curation ◽

10.1108/cc-11-2019-0039 ◽

2020 ◽

Vol 39 (4) ◽

pp. 105-115 ◽

Cited By ~ 1

Author(s):

Hirak Jyoti Hazarika ◽

Akash Handique ◽

S. Ravikumar S. Ravikumar

Keyword(s):

Open Source ◽

Open Source Software ◽

Medical Image ◽

Medical Professional ◽

Library Science ◽

Medical Professionals ◽

Dicom Image ◽

Science Field ◽

Content Type ◽

Image Repository

Purpose This paper aims to provide image repository to the medical professional in an open source platform, which will increase the visibility of Digital Imaging and Communication in Medicine (DICOM) image in a network mode; further, the proposed system will reduce the storage cost of the images to significant level. Design/methodology/approach The authors have developed a new institutional repository model for the medical professionals cum radiologists to preserve, store and retrieve medical images from one database with the help of open source software. The authors used JavaScript programming to integrate and develop the DICOM Standard with DSpace. Findings Major outcome of this work is that DICOM images can be accommodated in DSpace without modifying the image properties and keeping intact the various dimensions of image viewing options. Further, it was found that the images are retrieved without any ease because of the robust indexing system. Research limitations/implications Major limitation of this study was the size of the data (5000 DICOM image) with which the authors have tested the system. The scalability of the system has to be tested on various fronts, for which separate study has to be done. Practical implications Once this system is in place, DICOM user can store, retrieve and access the image from Web platform. This proposed repository will be the storehouse of various DICOM images with reasonable storage costs. Originality/value In addition to exploring the opportunities of open source software (OSS) implementation in Medical Fields, this study includes issues related to implementation of open source repository for storing and preserving medical image. This is the first time in Library Science field to create and develop Open Source DICOM Medical Image Library with the help of DSpace. The study will create value for library professionals as well as medical professionals and OSS vendors to understand the medical market in the context of OSS.

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