A configurable framework has been developed that can receive, modify, and export images in different picture archiving and communication system scenarios. The framework has three main components: a receiver for Digital Imaging and Communications in Medicine (DICOM) objects, a processing pipeline to apply one or more modifications to these objects, and one or more senders to send the processed objects to predefined addresses. The toolbox programming was implemented as an open source project in Java. The processing pipeline uses the concept of configurable plug-ins. One plug-in is user programmable by means of extensible stylesheet language files and allows conversion of DICOM objects to extensible markup language documents or other file types. Input and output channels are the DICOM Storage service, DICOM compact disks-read-only memory (CD-ROMs), and the local file system. The toolbox has been successfully applied to different clinical scenarios, including the correction of DICOM objects from non-Integrating the Healthcare Enterprise (IHE) conform modalities, pseudonaming of DICOM images, and use of the IHE Portable Data for Imaging profile with import and export of CD-ROMs. The toolbox has proved reliability in the clinical routine. Because of the open programming interfaces, the functionality can easily be adapted to future applications.
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http://dx.doi.org/10.1148/rg.256055072 | DOI Listing |
J Appl Clin Med Phys
December 2024
Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Purpose: To develop and validate an automated software analysis method for mammography image quality assessment of the American College of Radiology (ACR) digital mammography (DM) phantom images.
Methods: Twenty-seven DICOM images were acquired using Fuji mammography systems. All images were evaluated by three expert medical physicists using the Royal Australian and New Zealand College of Radiologists (RANZCR) mammography quality control guideline.
Braz Oral Res
October 2024
Universidade Estadual de Campinas - Unicamp, Piracicaba Dental School, Department of Oral Diagnosis, Oral Radiology, Piracicaba, SP, Brazil.
Given today's higher demand for online transmission of radiographic images, clinicians and regulatory agencies should be given the evidence they need to guide them in choosing the best image file format to be adopted. To this end, the present scoping review aims to explore, map, and evaluate the literature, with the object of reporting the influence of image file formats on dental diagnostic tasks by assessing intraoral radiographic images. This scoping review complies with PRISMA-ScR.
View Article and Find Full Text PDFJ Craniofac Surg
September 2024
Department of Plastic Surgery, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai.
Object: Observations of preoperative and postoperative orbital morphology following fronto-orbital advancement and cranial vault remodeling (FOA and CVR) in patients with unilateral coronal synostosis (UCS).
Methods: This retrospective cohort included patients diagnosed with unilateral coronal synostosis and treated with fronto-orbital advancement and cranial vault remodeling at the Children's Hospital of Fudan University. The orbital height, orbital width, and orbital volume were obtained from head 3-dimensional computed tomography of preoperation and postoperation.
Clin Imaging
August 2024
Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, USA; Mass General Brigham AI, USA.
Purpose: We created an infrastructure for no code machine learning (NML) platform for non-programming physicians to create NML model. We tested the platform by creating an NML model for classifying radiographs for the presence and absence of clavicle fractures.
Methods: Our IRB-approved retrospective study included 4135 clavicle radiographs from 2039 patients (mean age 52 ± 20 years, F:M 1022:1017) from 13 hospitals.
J Med Phys
March 2024
Department of Applied Physics and Medical Imaging, California State University Channel Islands, Camarillo, CA, USA.
Background: The slice spacing has a crucial role in the accuracy of computed tomography (CT) images in sagittal and coronal planes. However, there is no practical method for measuring the accuracy of the slice spacing.
Purpose: This study proposes a novel method to automatically measure the slice spacing using the American Association of Physicists in Medicine (AAPM) CT performance phantom.
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