The technology industry continues to be a hotbed of patent innovation. Activity is driven by the rapid emergence and widespread adoption of game-changing technologies such as artificial intelligence (AI), advancements in deep learning algorithms, and growing importance of technologies such as deep neural networks, generative adversarial network (GAN), and image and video super-resolution techniques. Dynamic image reconstruction process can use computational photography techniques to capture wide range of information and details and create visually appealing and dynamic images. In the last three years alone, there have been over 1.5 million patents filed and granted in the technology industry, according to GlobalData’s report on Artificial intelligence in technology: dynamic image reconstructionBuy the report here.

However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilizing and reaching maturity.

Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.

185+ innovations will shape the technology industry

According to GlobalData’s Technology Foresights, which plots the S-curve for the technology industry using innovation intensity models built on over 1.6 million patents, there are 185+ innovation areas that will shape the future of the industry.

Within the emerging innovation stage, quantum AI, GenAI for coding and emotion AI are disruptive technologies that are in the early stages of application and should be tracked closely. Biological computing models, defect detection models, and circuit designing AI are some of the accelerating innovation areas, where adoption has been steadily increasing.

Innovation S-curve for artificial intelligence in the technology industry

Dynamic image reconstruction is a key innovation area in artificial intelligence

Dynamic image reconstruction refers to the method used in medical imaging for generating a sequence of two-dimensional images from a sequence of three-dimensional scans of an object or patient taken at different time points. This approach enables healthcare practitioners to track and analyse changes occurring over time, aiding in the diagnosis, and monitoring of diseases or degenerative conditions.

GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 320 companies, spanning technology vendors, established technology companies, and up-and-coming start-ups engaged in the development and application of dynamic image reconstruction.

Key players in dynamic image reconstruction – a disruptive innovation in the technology industry

‘Application diversity’ measures the number of applications identified for each patent. It broadly splits companies into either ‘niche’ or ‘diversified’ innovators.

‘Geographic reach’ refers to the number of countries each patent is registered in. It reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.

Patent volumes related to dynamic image reconstruction

Company Total patents (2010 - 2022) Premium intelligence on the world's largest companies
Fujifilm 80 Unlock Company Profile
Elekta 39 Unlock Company Profile
Shanghai United Imaging Healthcare 323 Unlock Company Profile
Accuray 61 Unlock Company Profile
Planmeca 15 Unlock Company Profile
Adaptix 47 Unlock Company Profile
Siemens 370 Unlock Company Profile
Fraunhofer-Gesellschaft zur Forderung der Angewandten Forschung 16 Unlock Company Profile
Hitachi 195 Unlock Company Profile
General Electric 452 Unlock Company Profile
Koninklijke Philips 900 Unlock Company Profile
ViewRay 23 Unlock Company Profile
Canon 202 Unlock Company Profile
Nuctech 120 Unlock Company Profile
Siemens 397 Unlock Company Profile
Dentsply Sirona 29 Unlock Company Profile
Heartflow 284 Unlock Company Profile
Hologic 125 Unlock Company Profile
VisionGate 18 Unlock Company Profile
Toshiba 255 Unlock Company Profile
Shimadzu 40 Unlock Company Profile
Toshiba Medical Systems 95 Unlock Company Profile
CathWorks 31 Unlock Company Profile
Surgivisio 17 Unlock Company Profile
Cms Medical 20 Unlock Company Profile
The French Alternative Energies and Atomic Energy Commission 15 Unlock Company Profile
VOTI 24 Unlock Company Profile

Source: GlobalData Patent Analytics

Koninklijke Philips is the leading patent filer in dynamic image reconstruction. The company’s patents are aimed at invention describing spectral propagation restoration for spectral CT.

The method includes obtaining at least one of projection data from a spectral scan or image data generated from the projection data, selecting a local reference dataset from the at least one of the projection data or the image data, determining a noise pattern for the selected reference dataset, estimating underlying local structure from the reference dataset based on the noise pattern, and restoring at least one of the projection data or the image data based on the estimated underlying local structure.

Other prominent patent filers in the space include Siemens, General Electric (GE), Shanghai United Imaging Healthcare, and Canon.

By geographic reach, Accuray leads the pack, followed by ViewRay and VOTI. In terms of application diversity, Siemens holds the top position, followed by Koninklijke Philips and Accuray.

Dynamic image reconstruction in medical imaging enables healthcare professionals to observe and analyze temporal changes within patients or objects. This capability plays a crucial role in disease diagnosis, treatment evaluation, and monitoring the progression of conditions, leading to more accurate assessments and improved patient care.

To further understand how artificial intelligence is disrupting the technology industry, access GlobalData’s latest thematic research report on Artificial Intelligence (AI).

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData’s Patent Analytics tracks patent filings and grants from official offices around the world. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.