WiMi Hologram Cloud Inc (WIMI)

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Holographic WITMED: “X-rays” Before Surgery.

Source
https://www.newstrail.com/holographic-witmed-x-rays-before-surgery/

November 22, 2022

After decades of rapid development of health information systems and biogenetic technologies, the medical field has also entered the “big data era.” In the face of a “data tsunami and data explosion,” WiMi seeks to explore the future of medical science with data innovation and find ways to quickly access information in the vast data resources to enhance the collective human medical experience.

Founded in 2015, WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) mainly provides AR-based holographic services and products and focuses on providing innovative and interactive holographic AR experiences for its customers. It is committed to building a service platform with great flexibility and openness, bridging the gap between holographic technology application and holographic computer vision presentation, realizing the application and production of holographic computer vision in different segments, and promoting the development of the industry.

It is reported that WiMi has obtained the patent for a MEMS micro-reflection processing device for holographic body imaging and has gradually applied this technology in different medical fields. Micro-reflection processing devices are widely used in medical imaging, projectors, spectrometers, and graphic code readers, for example, holographic scanning probes used in medical imaging. Miniaturization is the primary development trend of optical scanning devices.
MEMS micro-mirrors are especially suitable for miniaturized holographic optical scanning devices due to their compact structure, ease to control, and low power consumption. Therefore, holographic imaging optical scanning devices based on MEMS micro-mirrors have become mainstream. Realize holographic medical visualization requires using a surface array photodetector (such as CCD CMOS) instead of traditional optical holographic recording media (such as silver salt dry plate, photographic film) and the storage of the hologram in digital form in the computer.
Then, the computer uses diffraction propagation to simulate the transmission process of light waves during holographic reproduction and obtains quantitative amplitude and phase distribution of the object-light wave field through numerical calculation, which digitally realizes the hologram recording, storage, and copy of the whole process. Using the Internet of Things (IoT) combined with emerging technologies such as 5G, cloud computing, and the company’s existing patents, WiMi’s holographic Wise Information Technology of Med (WITMED) will see intelligent medical services and medical care prosperity. The company will use the type, number, location, interconnection, and molecular composition of all cells in the human body to construct a fine map of cellular gene expression and other high-dimensional mathematical characteristics, build a perfect and fine reference system of human development, physiology, and cases, and finally establish a holographic life information network.

Through a deep, intelligent algorithm, WiMi builds
1) A multi-angle real-time modeling system: the image of the collected object is scanned in the whole dimension and synthesized into a three-dimensional model in real-time.
2) Six-degree matrix light field system: the imaging field of holographic virtual images is built using multiple light sources.
3) Binocular parallax intelligent enhancement system: the object trajectory is dynamically tracked, and the light during the acquisition process is adjusted to maintain the balanced value of binocular parallax.
4) Multi-image dynamic fusion system: wide-angle multidimensional image capture technology in narrow space is applied to cloud vision miniaturized holographic stacks.
5) Hologram high-speed processing algorithm: the image information is processed extremely fast, and the rendering effect is guaranteed, with a processing rate of 10GB/sec.
6) Stealth polyester optical display film: the critical component of holographic imaging to keep the hologram intact.
7) Holographic virtual character image and sound reconstruction technology: human skeleton dynamic capturing, image rendering in real-time, voice recognition, and sound simulation to present a virtual human. Compared with the traditional iterative phase recovery method, the deep learning-based intelligent algorithm can create object reconstruction without speckles and double image artifacts through neural networks in a single (i.e., no iterative) pass. Recurrent neural networks trained using deep learning and combining spatial features from multiple holograms are used to create digital holographic microscopy images of samples, such as human tissue slides. With its help, image quality can be improved, reconstruction speed accelerated, and the depth of field of the reconstructed sample can be enhanced. Through these technological systems, holographic WITMED technology is gradually being applied in different medical fields to achieve mixed reality integration, integrating VR and AR to improve the interaction between the user and the virtual and real world.

As the human brain is very complex and fragile, brain tumor removal is one of the most challenging surgeries in modern medicine. Some tumors grow deep in the brain’s gray matter and cannot be easily seen and removed. Other tumors must be located with the aid of a holographic technique using a tentacle-like endoscope, making it necessary to perform the surgery with great precision, requiring a high degree of surgical accuracy on the part of the surgeon. In a brain tumor resection, for example, the surgeon can project a multidimensional brain scan hologram of the patient’s head through holographic imaging technology. The surgeon can zoom in, change angles, or see deep into the brain with the appearance of moving their hand in the air to quickly and precisely determine the tumor’s location and where to make the incision. Combining WiMi’s patented technology with its years of expertise in holography is like embedding an X-ray device in the surgeon’s eyes so that they can easily “see through” the patient’s skull and determine the location of the tumor directly on the operating table, no matter how deep the cancer is in the brain.


As shown in the figure RH-M, there are two implementation paths:
The recurrent holographic (RH) imaging framework uses multiple (M) input holograms that are back-propagated to the common axis plane using zero phases, performing both autofocus and phase retrieval in its output inference.
RH-MD:
The same autofocus and phase retrieval performance of RH-M is enhanced by using a dilated (D) convolution kernel without any free-space back-propagation (FSP) step; that is, the original holograms of the acquired objects are directly utilized as training RNN inputs for focusing image reconstruction at their outputs, called RH-MD.

WiMi can use MRI or computed tomography images processed as stereotyped holograms for the operating table to assist physicians in simplifying surgical procedures and improving efficiency, helping to establish a new AI-smart medical ecosystem. Through the application of holographic big data and system artificial intelligence, WiMi can fundamentally change the deficiencies of inefficient process software and isolated content information model; comprehensively improve the medical level, medical efficiency, medical quality, medical experience, and the happiness index of the medical staff at work; change the medical status quo of complex and expensive medical care, high rate of misdiagnosis, and tension between doctors and patients; and establish a new harmony medical ecosystem of gratitude, respect, maintenance, and mutual assistance.