AI driving positive impact across modalities
Contents
- INTERVIEW: Pushing the Boundaries of Interventional Cardiology with Alphenix
- NEWS, PRODUCT: The Alphenix / Evolve Edition – Setting New Standards in Interventional Cardiology
- TECHNOLOGY: Leveraging Additional Layers of Intelligence
- SEMINAR: Advances in Diagnostic Imaging in the Field of Otolaryngology Made Possible by Ultra-High Resolution CT with AiCE
- CASE STUDY: PIQE: Reach a new peak in image quality for heavily calcified coronary arteries
- SEMINAR: New Perspectives on High-resolution Imaging in Musculoskeletal MRI Using Deep Learning
- SEMINAR: Recent Expansion of Deep Learning Reconstruction
- SEMINAR: Clinical Applications of High-Resolution Imaging in the Abdomen
- INTERVIEW: Precise IQ Engine (PIQE) for MRI
- CLINICAL REPORT: The Broadened Horizons with Higher Image Quality and Higher Acceleration Delivered by Deep Learning Reconstruction on the 1.5T MRI System
- CASE STUDY: Advanced intelligent Clear-IQ Engine (AiCE) Improves Image Quality and Scan Times
- TECHNOLOGY: Auto Planning to Simplify Scan Planning
Pushing the Boundaries of Interventional Cardiology with Alphenix
“The Alphenix is the most reliable interventional cardiology system I have worked with.”
Dr. Sanjeevan Pasupati
Canon new Alphenix / Evolve Edition Angiography system, which was introduced in August 2023, has opened new windows of opportunity for interventional cardiologists.
Leveraging Additional Layers of Intelligence
“The greatest impact of the Automation Platform for the team is seen during night-time, due to the quick availability of the images.”
Stijn Bollen, Radiologist, the Groene Hart Ziekenhuis (GHZ), Gouda, the Netherlands.
Prof. Satoshi Yoshioka
The development of CT technology has focused on increasing the number of detector rows, achieving faster gantry rotation, and reducing the exposure dose. In 2017, the introduction of the high-resolution CT system Aquilion Precision, which features remarkably high spatial resolution, led to a true revolution in clinical practice. This report describes the clinical advances in the field of otolaryngology that have been made possible by Aquilion Precision and the Deep Learning Reconstruction technology known as Advanced intelligent Clear-IQ Engine (AiCE)*.
The development of CT technology has focused on increasing the number of detector rows, achieving faster gantry rotation, and reducing the exposure dose. In 2017, the introduction of the high-resolution CT system Aquilion Precision, which features remarkably high spatial resolution, led to a true revolution in clinical practice. This report describes the clinical advances in the field of otolaryngology that have been made possible by Aquilion Precision and the Deep Learning Reconstruction technology known as Advanced intelligent Clear-IQ Engine (AiCE)*.
*Deep Learning technology is used in the design stage of image reconstruction processing in AiCE. The CT system itself does not have self-learning capabilities.
PIQE: Reach a new peak in image quality for heavily calcified coronary arteries
“The first time I saw Precise IQ Engine (PIQE) images, I was surprised by the unexpected combination of high resolution and low noise. Cardiac CTA is traditionally limited in patients with heavily calcified coronary arteries due to blooming artifacts. PIQE overcomes this by providing sharper boundaries and better delineation of the calcifications, thus allowing a more confident evaluation of these difficult cases. PIQE is undeniably a valuable AI technical innovation for challenging coronary CTA..”
Prof. Mickaël Ohana, MD, PhD
New Perspectives on High-resolution Imaging in Musculoskeletal MRI Using Deep Learning
“With the use of PIQE, we are now able to achieve both high resolution and high contrast with short acquisition times, making it much easier to perform high-resolution musculoskeletal imaging. New perspectives on advanced technologies is eagerly anticipated.”
Takahide Kakigi, MD, PhD
Recent Expansion of Deep Learning Reconstruction
“AiCE reduces image noise and improves the SNR, and hybrid DLR combined with CS and Fast 3D mode enables faster scanning and higher resolution while maintaining a high SNR.” “Also PIQE can improve spatial resolution while maintaining good tissue contrast.”
Toshinori Hirai, MD, PhD
Clinical Applications of High-Resolution Imaging in the Abdomen
“In patients with suspected chronic pancreatitis, dilatation of the pancreatic duct branches is one of the diagnostic criteria for early-stage chronic pancreatitis, and therefore, the high-precision images obtained applying PIQE can be expected to be of great clinical value for early diagnosis.”
Katsuyoshi Ito, MD, PhD
Precise IQ Engine (PIQE) for MRI
“I initially thought the 1.5T images reconstructed with PIQE were generated from a 3T scanner, and I am very impressed by how far advances in PIQE technology has matured! PIQE clearly improved spatial resolution, which can make spotting things like metastasis or subtle lesions easier.”
Dr. Daniel Chow
The Broadened Horizons with Higher Image Quality and Higher Acceleration Delivered by Deep Learning Reconstruction on the 1.5T MRI System
“It previously took a long scan time even to acquire 3 mm-slice 2D images on the previous system, but AiCE enables to acquire thinner-slice and higher-resolution images without extending the scan time on Vantage Fortian as well as their 3T system.”
Yusuke Chatani, radiologic technologist in charge of MRI
Dr. Keita Satoyoshi Chief, Department of Radiology, Samukawa Hospital, Japan
In 2020, Samukawa Hospital replaced its current 1.5T MRI system with a Vantage Orian 1.5T built with Advanced intelligent Clear-IQ Engine (AiCE) technology. AiCE represents the world’s first AI-based solution for improving the signal-to-noise ratio (SNR) of medical images, which the hospital is currently using in its routine clinical practice. In this report, radiologists at Samukawa Hospital discuss their experience with AiCE.
In 2020, Samukawa Hospital replaced its current 1.5T MRI system with a Vantage Orian 1.5T built with Advanced intelligent Clear-IQ Engine (AiCE) technology. AiCE represents the world’s first AI-based solution for improving the signal-to-noise ratio (SNR) of medical images, which the hospital is currently using in its routine clinical practice. In this report, radiologists at Samukawa Hospital discuss their experience with AiCE.
Yutaka Hoshiyama
There is a great need for highly reproducible MRI examinations with the same scan position and angle, and with smooth scan operation regardless of the operator’s experience. Auto Planning, supported by Auto Scan Assist, allows MR Technologists with different levels of experience to perform complex MR procedures easily, while enhancing workflow and reproducibility from patient to patient.
There is a great need for highly reproducible MRI examinations with the same scan position and angle, and with smooth scan operation regardless of the operator’s experience. Auto Planning, supported by Auto Scan Assist, allows MR Technologists with different levels of experience to perform complex MR procedures easily, while enhancing workflow and reproducibility from patient to patient.
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