Visual user assistance

At the key moments of the exam

An extra eye on the patient

In real-time for the radiographer  and off-line for the radiologist

Did you know?

7% repeat rate

is the threshold for investigation of possible corrective action  recommended  by the American Association of Physicists in Medicine Task Group 151 (TG-151) for pediatric patients, increasing to 10% for adults [1]

Positioning mistakes

are the most common source of repeats, accounting for up to 68% of repeats, followed by exposure technique mistakes  [2] [3]

Adding cameras to the radiography equipment

Assisting the users at the key moments of the exam

During positioning

Technique setting

At exposure

During reporting

Live camera view of the collimation area

Avoid retakes

Remotely from the workstation, the radiographer can make a last check if patient positioning is still correct before exposure

Save time

Remotely from the workstation, the radiographer can guide the patient to correct for unintended movements

Archiving a picture of the collimation area in PACS

Check on patient positioning

Visualising the collimation area enables the radiologist to check if the body part is correct or the positioning

Soft tissues condition

Positioning picture gives to radiologist additional information on body condition e.g. swelling, bruises, wounds

External foreign objects

Radiologist can check if tube, lines, buttons, hair, etc. were visible at time of exposure

Evidences of abuse

Archiving pictures that can give evidences of violent treatment against the patient

Live visualisation of collimation and AEC areas

Reduced retakes

Accurately positioning the collimation area can be difficult, especially with obese patients or for lateral views. With SmartPositioning, the radiographer can remotely check if the collimation area is correct and if the AEC are properly covered before triggering exposure

Faster positioning

Immediate assistance to the radiographer with real-time overlays projected onto the patient on the Tube Head Display

Adapting dose to patient thickness

Better image quality for bariatric patients

When AECs are not available to automatically adapt the dose, the radiographer gets assistance to increase the dose for overweight patients

Easier follow-up

No matter if the patient weight has changed, a dose tailored to patient thickness is proposed to the radiographer before exposure

Save time

Number of exams repeated due to sub-diagnostic image quality is reduced

External references

[1] Jones, A.K., Heintz, P., Geiser, W., Goldman, L., Jerjian, K., Martin, M., Peck, D., Pfeiffer, D., Ranger, N. and Yorkston, J. (2015), Ongoing quality control in digital radiography: Report of AAPM Imaging Physics Committee Task Group 151. Med. Phys., 42: 6658-6670.

[2] Little KJ, Reiser I, Liu L, Kinsey T, Sánchez AA, Haas K, Mallory F, Froman C, Lu ZF. Unified Database for Rejected Image Analysis Across Multiple Vendors in Radiography. J Am Coll Radiol. 2017 Feb;14(2):208-216. doi: 10.1016/j.jacr.2016.07.011. Epub 2016 Sep 20. PMID: 27663061.

[3] J Med Radiat Sci 67 (20207279