Image diagnosis device
The imaging diagnostic apparatus addresses the challenge of distinguishing cancer and inflammatory cell tissues by overlaying bioresonance measurement images to precisely locate and display these tissues, improving diagnostic accuracy.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- IPP JAPAN CO LTD
- Filing Date
- 2024-12-18
- Publication Date
- 2026-06-25
AI Technical Summary
Conventional imaging devices like PET-CT struggle to distinguish between cancer cell tissue and inflammatory cell tissue due to similar glucose accumulation, leading to indistinguishable images.
An imaging diagnostic apparatus that overlays bioresonance measurement images, identifying cell tissue locations, separates and displays cancer and inflammatory cells based on their precise locations using a bioresonance measurement device and medical imaging device.
Enables precise differentiation and display of cancer and inflammatory cell tissues at their accurate locations, enhancing diagnostic accuracy by distinguishing between these tissues.
Smart Images

Figure JP2024044799_25062026_PF_FP_ABST
Abstract
Description
Imaging diagnostic apparatus
[0001] The present invention relates to an imaging diagnostic apparatus that separates and displays cell tissues in different states of a certain site in the body.
[0002] Conventionally, as described in Non-Patent Document 1, in early detection of cancer, confirmation of metastatic cancer, and medical checkups, etc., examinations using an imaging diagnostic apparatus called PET-CT have been performed. PET-CT is a device that combines a positron emission tomography (PET) and a computed tomography (CT).
[0003] PET is one of the nuclear medicine examinations, and is a device that administers a radioactive agent such as 18F-FDG that emits a small amount of radiation to the human body and takes pictures of the whole body with a special camera. In addition to emitting radiation, 18F-FDG has properties similar to glucose. Cancer cells are active and proliferate, so they consume more glucose than normal normal cells. Therefore, the 18F-FDG administered to the human body accumulates more in cancer cells. PET captures the radiation emitted by the 18F-FDG accumulated in cancer cells, and identifies that there are cancer cells where the 18F-FDG has accumulated.
[0004] CT is a device that takes pictures of cross-sections of the human body using X-rays. CT can accurately image the shape of the human body. Therefore, in a CT image, an abnormality in shape can be diagnosed, and in a PET image, an abnormality can be diagnosed from functions such as glucose metabolism. Since PET-CT overlays and displays such CT images and PET images, the diagnostic accuracy can be improved by diagnosing the function when it is impossible to judge only from the shape of the organ.
[0005] “PET-CT Examination”, [online], updated 2021 / 05 / 29, Cancer Treatment.com, [searched on September 30, 2024], Internet <URL: https: / / www.ganchiryo.com / prevention / pet-ct.php>
[0006] However, glucose also tends to accumulate in inflamed tissues. Therefore, in conventional imaging devices such as PET-CT, inflamed tissue appears in the image in a similar manner to tissue containing cancer cells. For example, in Figure 2(a), when a PET-CT image of a person who underwent a PET-CT examination is shown, cancer cell tissue A and inflammatory cell tissue B appear similarly and cannot be distinguished. In other words, conventional imaging devices could not distinguish and display cancer cell tissue and inflammatory cell tissue in their precise locations.
[0007] The present invention was made to solve these problems, and has configured an image diagnostic device that displays different states of cell tissue in a certain area, such as cancer cell tissue and inflammatory cell tissue, in a bioresonance measurement image in which the location of a modeled body is identified and separated by a bioresonance measurement device, overlaid on an image of the body, which is captured by a medical imaging device based on the location of the body, after the location information of the body is physically identified.
[0008] According to this configuration, the morphological image of a body part captured by a medical imaging device is overlaid with cell tissues in different states of that body part, such as cancer cells and inflammatory cells, which are separated and displayed in the bioresonance measurement image, based on their location as identified in the bioresonance measurement image. The morphological image of a body part captured by a medical imaging device is displayed at a physically identified and precise location within the body. Therefore, by separating and overlaying, for example, cancer cells and inflammatory cells, based on their location as identified in the bioresonance measurement image, onto this morphological image, cancer cells and inflammatory cells are displayed distinctly at their precise locations in the morphological image.
[0009] Furthermore, the present invention is characterized in that the bioresonance measuring instrument sends frequency signals equal to the natural frequencies of each part of the body into the body, compares the information of the biosignals of the frequencies returned from each part with the information of the biosignals registered in the database, and displays a bioresonance measurement image by analyzing the resonance relationship between the frequency signals sent into the body and the biosignals returned from each part of the body.
[0010] In this configuration, the bioresonance analyzer analyzes the resonance relationship between the frequency signal sent into the body and the biosignals returned from various parts of the body. This allows for the identification of the modeled location within the body, the differentiation of cell tissues in different states within a given area, and the display of bioresonance measurement images.
[0011] According to the present invention, it is possible to provide an imaging diagnostic device that can distinguish and display cell tissues in different states, such as cancer cell tissue and inflammatory cell tissue, in their precise locations.
[0012] This is a block diagram showing the schematic configuration of an imaging diagnostic device according to one embodiment of the present invention. (a) is an example of a PET-CT image of a certain part of the human body, and (b) is an example of an image obtained for the same part of the human body by the imaging diagnostic device according to one embodiment.
[0013] Next, an embodiment for implementing the medical imaging apparatus according to the present invention will be described.
[0014] The image diagnostic apparatus 1 according to one embodiment of the present invention shown in Figure 1 includes a GPU (graphics processing unit) 1a, a storage device 1b, and a display device 1c. The GPU 1a, according to a computer program stored in the storage device 1b, overlays images of cells and tissues in different states, input from a bioresonance analyzer 3, onto the CT image input from the CT scanner 2, for example, an image of cancer cells and an image of inflammatory cells.
[0015] CT scanner 2 is an example of a medical imaging modality, which uses X-rays to capture cross-sections of the human body. CT images are images captured by CT scanner 2, which physically identifies the location of objects within the body. These CT images are DICOM (Digital Imaging and Communication in Medicine) images, and are saved in a file format compliant with the DICOM standard.
[0016] Furthermore, medical imaging equipment is not limited to modalities that display images conforming to the DICOM standard, such as CT images, MRI (Magnetic Resonance Imaging) images, and ultrasound images, but may also include medical imaging equipment that displays images conforming to other standards, such as JPEG display. Specifically, the modalities referred to here include computed tomography scanners (CT scanners), magnetic resonance imaging scanners (MRI), digital X-ray scanners, computer radiography, angiography X-ray diagnostic equipment, and ultrasound diagnostic equipment.
[0017] The bioresonance analyzer 3 is a known Metatron bioresonance analyzer, as disclosed in the bioresonance section of the website at the URL below. The bioresonance analyzer 3 sends frequency signals equal to the natural frequencies of each part of the body into the body, compares the biosignal information of the frequencies returned from each part with the biosignal information registered in the database, and displays a bioresonance measurement image by analyzing the resonance relationship between the frequency signals sent into the body and the biosignals returned from each part of the body. <URL: https: / / ippjapan.jp / metatron / description.html>
[0018] The principle of such a bioresonance analyzer 3 is disclosed in U.S. Patent Publication No.: US 2010 / 0081959 A1, and related information is provided in the following document: Nesterov VI, Vesnin AY., Koltsova MP. “MRI and NLS-diagnostics of ankle joint damages”. Kerala Journal of Orthopaedics 2013;26(1):67-69
[0019] This bioresonance analyzer 3 identifies the location of different types of cell tissue in a part of the human body, such as cancer cell tissue and inflammatory cell tissue, within a modeled body, distinguishes them by color, and displays them as bioresonance measurement images on its display device. For example, in an illustrated image of various organs in the body, cancer cell tissue is colored purple, inflammatory cell tissue is colored brown, etc., and these images are displayed at the respective affected areas in the illustrated image.
[0020] The GPU 1a receives a CT image of a specific body part from the CT scanner 2 and a bioresonance measurement image of the same body part from the bioresonance measurement device 3. Then, based on the location of cancer cells and inflammatory cells in the bioresonance measurement image of that body part, as identified by the bioresonance measurement device 3, it overlays them onto the CT image. At this time, the GPU 1a's calculation process aligns the positions of the CT image data from the CT scanner 2 and the bioresonance measurement image data from the bioresonance measurement device 3 based on the positional information contained in each image data.
[0021] This display is performed on the display device 1c. For example, the GPU 1a displays the cancer cell tissue A in purple, the inflammatory cell tissue B in brown, and so on, on the display device 1c, as shown in the image in Figure 2(b).
[0022] According to this embodiment of the diagnostic imaging device 1, the CT image of a certain part of the body taken by the CT device 2 is overlaid with, for example, cancer cell tissue and inflammatory cell tissue of that part, which are separated and displayed in the bioresonance measurement image, based on their location identified in the bioresonance measurement image. The CT image of a certain part of the body taken by the CT device 2 is displayed at a precise location where its position within the body is physically identified. Therefore, by separating and overlaying, for example, cancer cell tissue and inflammatory cell tissue on this CT image based on their location identified in the bioresonance measurement image, cell tissues in different states, such as cancer cell tissue and inflammatory cell tissue, are displayed separately at their precise locations in the CT image.
[0023] Furthermore, according to the image diagnostic device 1 of this embodiment, CT images taken by the CT device 2 are stored in the storage device of the CT device 2 in a file format compliant with the DICOM standard. Numerous medical device and software manufacturers support this DICOM standard. Therefore, the image displayed by the image diagnostic device 1 using this CT image, in which, for example, cancer cell tissue and inflammatory cell tissue are accurately distinguished in their respective locations, becomes a versatile image that can be used by many people.
[0024] In this embodiment, the case where the DICOM image is a CT image has been described. However, the DICOM image can be any image acquired by a modality, such as an MRI image acquired by an MRI machine. By superimposing the cancer cell tissue and inflammatory cell tissue, which are separated and displayed in the bioresonance measurement image, onto this MRI image or the like, based on their locations identified in the bioresonance measurement image, the same effects and advantages as in the above embodiment can be achieved.
[0025] Furthermore, the DICOM image may be a two-dimensional image such as an ultrasound image or a digital X-ray image. In this case, it is not possible to identify the location of the disease in three dimensions, but by superimposing the cancer cell tissue and inflammatory cell tissue, which are separated and displayed in the bioresonance measurement image, onto the ultrasound image or digital X-ray image, based on their location identified in the bioresonance measurement image, the same effects as in the above embodiment can be achieved.
[0026] 1... Diagnostic imaging device, 1a... GPU, 1b... Storage, 1c... Display device, 2... CT scanner (medical imaging equipment), 3... Bio-resonance analyzer, A... Cancer cell tissue, B... Inflammatory cell tissue
Claims
1. An imaging diagnostic device that overlays images of different states of cells and tissues in a particular area of a bioresonance measurement image, in which the location of a modeled cell within the body is identified and separated by a bioresonance measurement device, onto an image of that area, which is captured by a medical imaging device based on its physical location within the body.
2. The imaging diagnostic apparatus according to claim 1, characterized in that the cell tissues in different states are cancer cell tissue and inflammatory cell tissue.
3. The bioresonance measuring device is characterized in that it sends a frequency signal equal to the natural frequency of each part of the body into the body, compares the information of the biosignals of the frequencies returned from each part with the information of the biosignals registered in the database, and displays the bioresonance measurement image by analyzing the resonance relationship between the frequency signal sent into the body and the biosignals returned from each part of the body, as described in claim 1 or 2.