Feature | August 28, 2013 | Dianna M. E. Bardo, M.D.

Managing Pediatric Imaging and Dose

Producing high-quality diagnostic images with radiation dose as low as reasonably achievable

The issue of ionizing radiation in medical imaging is often discussed and is a hotly debated topic. Computed tomography (CT) is the major contributor to medical radiation dose exposure and has been vilified in lay and professional press as a danger to those exposed, potentially carcinogenic and most dangerous in children. As a pediatric radiologist, my primary concern is in producing high-quality diagnostic images with radiation dose as low as reasonably achievable (ALARA).

State-of-the-Art Imaging

The care and thought that precede any medical imaging examination of a child is extraordinary. The medical team that cares for each child includes not only the pediatrician and radiologist, but the manufacturer of medical imaging equipment as well. At Oregon Health & Science University (OHSU), Philips Healthcare is the maker of our CT scanners. Working in partnership with Philips, OHSU radiologists are able to utilize, test and influence the newest scanning, image reconstruction and image post-processing techniques. In this role, we are now working with a new knowledge- and model-based iterative image reconstruction technique, iterative model reconstruction (IMR). The knowledge-based iterative reconstruction algorithms of IMR differ from filtered back projection (FBP) methods in that the reconstruction is an iterative optimization process that uses the data statistics, image statistics and system models. The constrained optimization processes gives the user some amount of control over the desired image characteristics of the IMR images. CT images in our clinical patients are now undergoing an additional reconstruction step as we evaluate IMR. Subspecialty trained and board-certified radiologists are reviewing and evaluating CT images for quality, including assessment of image noise, diagnostic quality and visual appeal.

Often, CT images utilizing iterative reconstruction techniques are criticized for having a “plastic” or otherwise artificial look. In fact, one of our residents asked me how I knew iterative reconstructed images did not have “artifacts in them, compared to the real CT images” we are used to viewing. I guess it is all in what you are used to viewing, and we must remember that what we see in standard filtered back projection CT images is merely a representation of the patient’s anatomy.

At OHSU, we have been using Philips’ anatomic-based iterative reconstruction technique iDose4 since 2010. Since its installation, we have reduced CT dose by approximately 60 percent in all pediatric body examinations, relying on iDose4 to reduce image noise for these low-dose examinations. Our initial thoughts about using IMR were that we were happy with our level of dose reduction in pediatric exams, but we were looking to use IMR only for improving image quality. Having reviewed thousands of images now with IMR reconstruction, I am impressed by the quality of the images. The markedly reduced, or lack of, image noise in IMR CT images results in smoothness in visceral structures and muscle that mimics what is seen in natural, living tissues. With such remarkably improved image quality, our doses may just get a bit lower. 

Diagnoses With Confidence

Because IMR CT images more closely represent natural tissues, we have the opportunity to more accurately diagnose disease and be more confident in that diagnosis. Clinical CT images illustrate these concepts.

First is a 6-month-old infant with congenital heart disease. A CT scan was requested in order to visualize the anatomy of his coronary arteries, as an anomalous vessel was suspected on echo and would affect the surgical decisions for repairing his heart. A prospective ECG-gated (step-and-shoot) protocol designed to capture a motionless image of the coronary arteries was used. While the original images were diagnostic, the virtually noiseless IMR reconstruction elegantly shows only a single coronary artery (instead of the usual two), arising from the non-coronary cusp coursing over the right ventricular outflow tract (Figure 1). Reduced image noise of IMR also improves the quality of the 3-D surface rendered images. 

Low contrast tissue resolution is also optimized with IMR.  This effect is seen in a second child, a 6-year-old with a mass in the right lobe of the liver. Accounting for image noise, the mass, an embryonal sarcoma of liver, appears to be a homogenous texture on the FBP images (arrows).  The IMR images clearly show that the periphery of the mass is encapsulated and the internal detail of the varied tissue and architecture of the tumor because of improved low contrast resolution and marked reduction in image noise (arrows, Figure 2).

Image noise profoundly affects image quality in all patient populations, particularly in obese patients. IMR drastically reduces image noise even in the most noise degraded exams, improving diagnostic confidence. In a morbidly obese young man with chest pain, the noise standard FBP images limit my ability to thoroughly evaluate a complex plaque in the proximal left anterior descending artery (LAD). With IMR I can see that the plaque is composed of fibrous, fatty and calcified components, and that the degree of stenosis is severe (Figure 3).

The time required to reconstruct image data is important as well. IMR image reconstruction occurs within a matter of minutes — approximately two to three minutes for a chest, abdomen and pelvis scan — so images are readily available for diagnostic review. Workflow at the CT scanner is not affected by delayed or extended image reconstruction times, so patient care and throughput remains optimized.

The ground-breaking image quality and noise reduction of IMR iterative reconstruction fits our radiology practice at OHSU by maintaining efficient workflow, with improving patient care, and will likely lead to further reduction in CT radiation dose in children and adults.  itn

Dianna M. E. Bardo, M.D., is associate professor of radiology, pediatrics and cardiovascular medicine, director of cardiac radiology, pediatric neuroradiologist, at Oregon Health & Science University in Portland, Ore.

Related Content

Artificial intelligence, also called deep learning and machine learning, was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting.

Artificial intelligence was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting, which included a large area with its own presentation therater set asside for AI vendors.

Feature | Artificial Intelligence | January 10, 2019 | Dave Fornell, Editor
Hands down, the hottest topic in radiology the past two years has been the implementation of...
3-D Reconstruction of Ichthyosaurus Skull

A 3-D reconstruction of the ichthyosaurus skull from a computed tomography (CT) scan. Image courtesy of Nigel Larkin, taken at Royal Veterinary College, London.

News | Computed Tomography (CT) | January 09, 2019
A nearly meter-long skull of a giant fossil marine ichthyosaur found in a farmer's field more than 60 years ago has...
SCCT Releases New Guideline for CT Use During TAVR
News | Computed Tomography (CT) | January 08, 2019
The Society of Cardiovascular Computed Tomography (SCCT) has released a new expert consensus document for computed...
Artificial Intelligence Pinpoints Nine Different Abnormalities in Head Scans

A brain scan (left) showing an intraparenchymal hemorrhage in left frontal region and a scan (right) of a subarachnoid hemorrhage in the left parietal region. Both conditions were accurately detected by the Qure.ai tool. Image courtesy of Nature Medicine.

News | Artificial Intelligence | January 07, 2019
The rise in the use of computed tomography (CT) scans in U.S. emergency rooms has been a well-documented trend1 in...
CT Technique Expands Possibilities of Imaging Ancient Remains
News | Computed Tomography (CT) | December 27, 2018
Researchers in Sweden using computed tomography (CT) have successfully imaged the soft tissue of an ancient Egyptian...
Canon Aquilion One CT Helps Gates Vascular Institute Adhere to New Stroke Guidelines
News | Computed Tomography (CT) | December 12, 2018
In stroke, time saved on imaging is time gained in the treatment window. The recently updated guidelines from the...
Coreline Soft Introduces AI Lung Segmentation Solution at RSNA 2018
News | Lung Cancer | December 10, 2018
December 10, 2018 — Korean image software company Coreline Soft Co. Ltd.
FDA Approves New Features for Planmed Verity Cone Beam CT Scanner
Technology | Computed Tomography (CT) | December 07, 2018
The U.S. Food and Drug Administration (FDA) issued an approval letter for the new features and intended uses of the...
YITU Releases AI-Based Cancer Screening Solutions at RSNA 2018
News | Artificial Intelligence | December 06, 2018
Chinese artificial intelligence (AI) healthcare company YITU healthcare released two brand-new products, Intelligent...
Guerbet Launches Multi-Use OptiVantage Contrast Media Injector in Europe
Technology | Contrast Media Injectors | December 05, 2018
Contrast agent company Guerbet recently announced that the OptiVantage multi-use contrast media injector is now CE...