We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




3D Printed Models of DICOM Images Are Critical to Progress in Medicine According to Expert

By MedImaging International staff writers
Posted on 02 Mar 2016
Print article
Image: 3D printed models are increasingly being used for planning complex orthopedic interventions (Photo courtesy of RSNA).
Image: 3D printed models are increasingly being used for planning complex orthopedic interventions (Photo courtesy of RSNA).
The use of 3D printed models of DICOM images can change the way doctors are trained, and how they communicate with their patients.

The research was presented at the annual meeting of the Radiological Society of North America (RSNA 2015). The research shows that despite the challenges that still need to be overcome before 3D models printing reaches its full potential in radiology, the impact of 3D printing could become the standard.

According to Frank Rybicki, MD, PhD, professor, Department of Radiology, University of Ottawa Faculty of Medicine (uOttawa; Ottawa, Canada), radiologists need to invest the time to learn 3D model printing methods. Dr. Rybicki suggests that printing of medical models from Computed Tomography (CT) and Magnetic Resonance (MR) images should become part of radiology departments. Advanced imaging modalities and protocols need to be able to generate source DICOM images that can be used for 3D printing. Radiologists could use 3D printed models of DICOM images for tactile feedback, and tangible depth information of anatomic, and pathologic states. Existing obstacles to the mainstream adoption of 3-D printing include a consensus in terminology, cost, training, materials, equipment, and guidelines.

Dr. Rybicki, said, “If we’re going to get reimbursement, we need a single reporting standard for 3D printing, and reimbursement will be a major hurdle. All payors know that we need 3D printing, and that it will eventually be reimbursed as the demand continues to swell. This will happen as we accumulate more data, and then develop guidelines regarding appropriate utilization. While there are many pressures to contain costs, data is beginning to show that the generation of 3D models is cost-effective for several applications, particularly when the model saves time in the operating room. 3D printing is a completely disruptive technology in general and in medicine. It will change the way that doctors do procedures. It will change the way we teach young physicians. The next natural step in the progression of technology is 3D printing.”

Related Links:

uOttawa


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Computed Tomography (CT) Scanner
Aquilion Serve SP
New
Enterprise Imaging & Reporting Solution
Syngo Carbon
Thyroid Shield
Standard Thyroid Shield

Print article
Radcal

Channels

MRI

view channel
Image: PET/MRI can accurately classify prostate cancer patients (Photo courtesy of 123RF)

PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients

The Prostate Imaging Reporting and Data System (PI-RADS) is a five-point scale to assess potential prostate cancer in MR images. PI-RADS category 3 which offers an unclear suggestion of clinically significant... Read more

Nuclear Medicine

view channel
Image: The new SPECT/CT technique demonstrated impressive biomarker identification (Journal of Nuclear Medicine: doi.org/10.2967/jnumed.123.267189)

New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access

The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read more

General/Advanced Imaging

view channel
Image: The Tyche machine-learning model could help capture crucial information. (Photo courtesy of 123RF)

New AI Method Captures Uncertainty in Medical Images

In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.