Literature DB >> 28188483

Integrating CAD modules in a PACS environment using a wide computing infrastructure.

Jorge J Suárez-Cuenca1, Amara Tilve2, Ricardo López3, Gonzalo Ferro1, Javier Quiles3, Miguel Souto4.   

Abstract

PURPOSE: The aim of this paper is to describe a project designed to achieve a total integration of different CAD algorithms into the PACS environment by using a wide computing infrastructure.
METHODS: The aim is to build a system for the entire region of Galicia, Spain, to make CAD accessible to multiple hospitals by employing different PACSs and clinical workstations. The new CAD model seeks to connect different devices (CAD systems, acquisition modalities, workstations and PACS) by means of networking based on a platform that will offer different CAD services. This paper describes some aspects related to the health services of the region where the project was developed, CAD algorithms that were either employed or selected for inclusion in the project, and several technical aspects and results.
RESULTS: We have built a standard-based platform with which users can request a CAD service and receive the results in their local PACS. The process runs through a web interface that allows sending data to the different CAD services. A DICOM SR object is received with the results of the algorithms stored inside the original study in the proper folder with the original images.
CONCLUSIONS: As a result, a homogeneous service to the different hospitals of the region will be offered. End users will benefit from a homogeneous workflow and a standardised integration model to request and obtain results from CAD systems in any modality, not dependant on commercial integration models. This new solution will foster the deployment of these technologies in the entire region of Galicia.

Keywords:  CAD platform; CAD-PACS integration; Computer-aided-diagnosis (CAD); DICOM structured reporting (SR); Lung cancer

Mesh:

Year:  2017        PMID: 28188483     DOI: 10.1007/s11548-017-1532-6

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  20 in total

1.  Integrating the Healthcare Enterprise: a primer. Part 2. Seven brides for seven brothers: the IHE integration profiles.

Authors:  D S Channin
Journal:  Radiographics       Date:  2001 Sep-Oct       Impact factor: 5.333

2.  Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program.

Authors:  Samuel G Armato; Feng Li; Maryellen L Giger; Heber MacMahon; Shusuke Sone; Kunio Doi
Journal:  Radiology       Date:  2002-12       Impact factor: 11.105

Review 3.  Computer-aided detection in mammography.

Authors:  S M Astley; F J Gilbert
Journal:  Clin Radiol       Date:  2004-05       Impact factor: 2.350

Review 4.  Current status and future potential of computer-aided diagnosis in medical imaging.

Authors:  K Doi
Journal:  Br J Radiol       Date:  2005       Impact factor: 3.039

5.  [Automatic detection of pulmonary nodules on computed tomography: a preliminary study].

Authors:  M Souto; P G Tahoces; J J Suárez Cuenca; M J Lado; M Remy-Jardin; J Remy; J J Vidal
Journal:  Radiologia       Date:  2008 Sep-Oct

6.  Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans.

Authors:  Qiang Li; Shusuke Sone; Kunio Doi
Journal:  Med Phys       Date:  2003-08       Impact factor: 4.071

7.  Automated pulmonary nodule detection based on three-dimensional shape-based feature descriptor.

Authors:  Wook-Jin Choi; Tae-Sun Choi
Journal:  Comput Methods Programs Biomed       Date:  2013-09-07       Impact factor: 5.428

Review 8.  Integration of computer-aided diagnosis/detection (CAD) results in a PACS environment using CAD-PACS toolkit and DICOM SR.

Authors:  Anh H T Le; Brent Liu; H K Huang
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-04-15       Impact factor: 2.924

9.  Application of the iris filter for automatic detection of pulmonary nodules on computed tomography images.

Authors:  Jorge Juan Suárez-Cuenca; Pablo G Tahoces; Miguel Souto; María J Lado; Martine Remy-Jardin; Jacques Remy; Juan José Vidal
Journal:  Comput Biol Med       Date:  2009-08-05       Impact factor: 4.589

10.  Computer-aided detection versus independent double reading of masses on mammograms.

Authors:  Nico Karssemeijer; Johannes D M Otten; Andre L M Verbeek; Johanna H Groenewoud; Harry J de Koning; Jan H C L Hendriks; Roland Holland
Journal:  Radiology       Date:  2003-02-28       Impact factor: 11.105

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