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Precise IQ Engine

PIQE is a Deep Learning Reconstruction (DLR) algorithm developed by Canon that maximizes the inherent resolution of a CT to provide Super Resolution images for cardiac, lung and body examinations with increased spatial resolution and excellent low contrast detectability.

 

The PIQE images show sharper anatomical detail for better delineation of small anatomical structures, and sharper borders between structures for a more definitive diagnosis. The 1024 matrix allows PIQE images to be enlarged up to four times the size of a 512 image.

PIQE in practice

See for yourself the enhanced anatomical detail made possible with PIQE.

View the PIQE Clinical Gallery

Since 2011, Canon has been at the forefront of utilizing novel technologies to improve CT image quality. In 2018, the immense computational power of Deep Learning Neural Networks was first applied to image reconstruction with the development of Advanced intelligent Clear-IQ Engine (AiCE). In 2021, PIQE marked the latest advancement in DLR technology, launched first with 512 matrix and now further improved to1024.

Benefits

Sharp anatomical detail

No additional dose

4x zoom (1024 matrix)

Trained for precision

PIQE is trained to reconstruct UHR-CT 0.25 mm images acquired with AquilionPrecision from a down-sampled version of the same data at 0.5 mm. This next generation, three-dimensional neural network allows PIQE to maximize the spatial resolution of routine scans and provide a new standard in CT image quality.

How PIQE Works PDF
3 MB
PIQE Cardiac PDF
6 MB
PIQE Lung PDF
9 MB

"We are used, with each new software reconstruction [technology], to see an increase in image quality. What struck me with PIQE is that it’s really a step forward compared to other reconstruction techniques. And really, the difference is in sharper images. Increased spatial resolution, also with less image noise. Combining both is really a tremendous step forward."

Prof. Mickaël Ohana
Strasbourg University, France

“PIQE offers higher spatial resolution and lower image noise compared to conventional reconstruction methods like hybrid IR, model-based IR, and DLR. In cardiac CT, PIQE enables clearer visualization of small atherosclerotic plaques and calcifications, facilitating the evaluation of plaque characteristics, facilitating the evaluation of plaque characteristics compared to reconstruction techniques. Additionally, the use of PIQE effectively reduces blooming artifacts from stents, resulting in sharper identification of the stent struts and a clearer visualization of the vessel lumen. PIQE is considered a groundbreaking technology that should be widely implemented across various areas of the body."

Dr. Fuminari Tatsugami
Hiroshima University, Japan

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