Computed Tomography Technology Innovations and Growth Opportunities

Description

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.

Product Code: DAFC

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
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