컴퓨터 단층 촬영(CT) 기술의 혁신 및 성장 기회

Technological Advances and Stakeholder Initiatives Enable Better Diagnostic Accuracy, Lower Radiation Exposure, and Cost Savings

Computed tomography (CT) is a sophisticated imaging technology that combines X-ray measurements obtained from multiple angles and processes them using computer algorithms to generate cross-sectional images or tomograms. The tomograms are further reconstructed into a 3D representation of organs or tissues, allowing precise visualization of the internal structures.

Frost & Sullivan's analysis shows that CT technology has experienced significant advancements, including dual-energy CT, which provides superior tissue characterization by using 2 X-ray beams with different energy levels. Photon counting CT (PCCT) uses advanced detectors to detect individual X-ray photons, resulting in improved spatial resolution, reduced background noise, and lower radiation doses.

Integrating artificial intelligence and machine learning into CT imaging enhances image reconstruction, detects anomalies, and provides more accurate diagnosis. AI-powered iterative reconstruction techniques help achieve better image quality while reducing the signal-to-noise ratio and radiation exposure.

The emergence of portable and point-of-care CT units has expanded the accessibility of CT imaging, enabling immediate diagnostic capabilities in emergency settings and remote locations. Fast-advancing CT technology has also significantly improved patient outcomes.

In this report, Frost & Sullivan aims to provide an in-depth analysis of these technological advancements, focusing on PCCT and cone beam CT, their current trends, research improvements, and future growth opportunities in the CT diagnostics space.

Table of Contents

Strategic Imperatives

• Why Is It Increasingly Difficult to Grow?
• The Strategic Imperative 8™
• The Impact of the Top 3 Strategic Imperatives on the Computed Tomography Industry
• Growth Opportunities Fuel the Growth Pipeline Engine™
• Research Methodology

Growth Opportunity Analysis

• Scope of Analysis
• Segmentation

Growth Generator

• Growth Drivers
• Growth Restraints

Technology Analysis

• CT Technology Introduction and Attributes
• CT System Components

PCCT Technology Analysis

• Energy Integrating Detectors and PCDs: Technology Comparison

PCCT Technology Landscape

• Siemens Healthineers, Germany
• NeuroLogica Corp., United States
• Primary Companies in the PCCT Landscape
• Intellectual Property Trends, 2020-2024
• Analysis of Intellectual Property Trends, 2020-2024

PCCT Stakeholders' Initiatives

• Major Funding Supporting PCCT R&D, Global, 2020-2024
• Strategic Collaborations, Research Partnerships, Mergers, and Acquisitions in the PCCT Landscape
• PCCT: A Technology Road Map

CBCT Technology Analysis

• CBCT: A Technology Overview

CBCT Technology Landscape

• Koning Health, United States
• Planmed Oy, Finland
• Primary Companies in the CBCT Landscape
• Intellectual Property Trends, 2020-2024
• Analysis of Intellectual Property Trends, 2020-2024

CBCT Stakeholders' Initiatives

• Major Funding Supporting CBCT R&D, Global, 2020-2024
• Strategic Collaborations, Mergers, and Acquisitions in the CBCT Landscape
• CBCT: A Technology Road Map

Growth Opportunity Universe in CT Technology Innovations

• Growth Opportunity 1: Portable and Point-of-care Imaging
• Growth Opportunity 2: Advanced Image Reconstruction for Enhancing CT Diagnostic Accuracy
• Growth Opportunity 3: Hybrid Imaging Systems for Comprehensive Diagnostics

Appendix

• Technology Readiness Levels (TRL): Explanation

Next Steps

• Benefits and Impacts of Growth Opportunities
• Next Steps
• Take the Next Step
• Legal Disclaimer