Abstract: Novel compressive sensing technique to retrieve the images or videos of multi modalities or analyzing lung cancer is the proposed invention. The proposed invention focuses on analyzing the images that are captured using modalities such as MRI, CT, PET etc. These images are used by deep learning algorithms to find the exact condition of lung cancer and paving way for therapeutic treatment.
The present invention relates to the field of designing and implementing a novel
compressive sensing technique to retrieve the images or videos of multi modalities for
analyzing lung cancer. The invention aims at identifying the edge cutting parameters.
BACKGROUND OF INVENTION
[0001] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0002] Compressed sensing (CS) is an image acquisition method, where only few random measurements are taken instead of taking all the necessary samples as suggested by Nyquist sampling theorem. Compressive sensing offers compression of data below the Nyquist rate, making it an attractive solution in the field of medical imaging, and has been extensively used for ultrasound compression and sparse recovery.
[0003] A number of different types of cancer detection systems that are known in the prior art. For example, the following patents are provided for their supportive teachings and are all incorporated by reference.
[0004] US10301273B2 This document provides compounds, compositions, and methods for treating cancers including renal cancer (e.g., renal cell carcinoma) as well as ovarian, breast, prostate, colon, pancreatic, bladder, liver, lung, and thyroid cancers and melanoma. For example, compounds, compositions, and methods for using one or more inhibitors of SCD1 to treat renal cell carcinoma (e.g., clear cell renal cell carcinoma (ccRCC)), thyroid cancer, or liver cancer; or to increase the efficacy of treatment for the same. This document relates to methods and materials involved in treating cancer, for example, renal cell carcinoma, melanoma, and ovarian, breast, prostate, colon, pancreatic, bladder, liver, lung, and thyroid cancers. For example, this document provides methods and material for using one or more inhibitors of a stearoyl-Coenzyme A desaturase 1 (SCD1) enzyme to treat cancer.
[0005] Compressed sensing a reduction in data sensing, transmission and storage. Compressed sensing is a method for accelerating MRI acquisition by acquiring less data through under sampling of k-space. There is a need for applying compressive sensing techniques to the field of lung cancer analysis.
[0006] Above information is presented as background information only to assist with an understanding of the present disclosure. No determination has been made, no assertion is made, and as to whether any of the above might be applicable as prior art with regard to the present invention.
[0007] In the view of the foregoing disadvantages inherent in the known types of cancer analysis systems now present in the prior art, the present invention provides an improved system. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved novel compressive based technique to analyze the stage of lung cancer that has all the advantages of the prior art and none of the disadvantages.
SUMMARY OF INVENTION
[0008] In the view of the foregoing disadvantages inherent in the known types of cancer detection and prevention systems now present in the prior art, the present invention provides an improved one. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved compressive sensing technique to analyze the exact stage of lung cancer which has all the advantages of the prior art and none of the disadvantages.
[0009] The main objective of the proposed invention is to implement novel compressive sensing technique to retrieve the images or videos of multi modalities for analyzing lung cancer. The proposed invention focuses on paving wave for therapeutic treatment.
[0010] Yet another important aspect of the proposed invention is that the proposed system includes images and videos that are capture using various modalities such as MRI, CT, PET etc. These images and videos are compressed using compressive sensing technique to analyze the stage of lung cancer more accurately. The invention will revolutionize the treatment for lung cancer by addressing the flaws of existing system.
[0011] In this respect, before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the various ways. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[0012] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be had to the accompanying drawings and descriptive matter in which there are illustrated preferred embodiments of the invention.
BREIF DESCRIPTION OF DRAWINGS
[0013] The invention will be better understood and objects other than those set forth above will become apparent when consideration is given to the following detailed description thereof. Such description makes reference to the annexed drawings wherein:
Figure 1 illustrates the block diagram of novel compressive censuring technique to retrieve the images or videos of multi modalities or analysing lung cancer, according to the embodiment herein.
DETAILED DESCRIPTION OF INVENTION
[0014] In the following detailed description, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that the embodiments may be combined, or that other embodiments may be utilized and that structural and logical changes may be made without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims and their equivalents.
[0015] While the present invention is described herein by way of example using several embodiments and illustrative drawings, those skilled in the art will recognize that the invention is neither intended to be limited to the embodiments of drawing or drawings described, nor intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention covers all modification/s, equivalents and alternatives falling within the spirit and scope of the present invention as defined by the appended claims. The headings are used for organizational purposes only and are not meant to limit the scope of the description or the claims. As used throughout this description, the word "may" be used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Further, the words "a" or "a" mean "at least one” and the word “plurality” means one or more, unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and any additional subject matter not recited, and is not intended to exclude any other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the like are included in the specification solely for the purpose of providing a context for the present invention.
[0016] In this disclosure, whenever an element or a group of elements is preceded with the transitional phrase "comprising", it is understood that we also contemplate the same element or group of elements with transitional phrases "consisting essentially of, "consisting", "selected from the group consisting of”, "including", or "is" preceding the recitation of the element or group of elements and vice versa.
[0017] Compress sensing is a signal processing technique for efficiently acquiring and re constructing a signal, by finding solutions to under determine linear systems. Compress sensing has been used to shorten MRI scanning sessions on conventional hardware. There is a need to implement technique that can address the flaws that are inherent in the existing systems of analyzing lung cancer.
[0018] The proposed invention aims at implementing a novel compressive sensing techniques to the images and videos that are captured using various modalities such as MRI, CT, PET etc. The invention focuses on integrating the algorithms of compressive sensing to imaging modalities and gain better results. The system will strive to address the flaws that are inherent in the existing diagnosis and treatment of lung cancer.
[0019] Reference will now be made in detail to the exemplary embodiment of the present disclosure. Before describing the detailed embodiments that are in accordance with the present disclosure, it should be observed that the embodiment resides primarily in combinations arrangement of the system according to an embodiment herein and as exemplified in FIG. 1
[0020] Figure 1 illustrates the block diagram of novel compressive censuring technique to retrieve the images or videos of multi modalities or analysing lung cancer 100. The proposed system 100 includes images 100 that are captured using various modalities such as MRI, PET, CT etc. The videos 102 are also screened and captured using various modalities. The compressive sensing techniques will compress, compare and contrast the images and videos for better analyzation. The results are displayed in resultant unit 104.
[0021] In the following description, for the purpose of explanation, numerous specific details are set forth in order to provide a thorough understanding of the arrangement of the system according to an embodiment herein. It will be apparent, however, to one skilled in the art that the present embodiment can be practiced without these specific details. In other instances, structures are shown in block diagram form only in order to avoid obscuring the present invention.
WE CLAIM
1. Novel compressive sensing technique to retrieve the images or videos of multi
modalities or analysing lung cancer comprises of
resultant unit and
Database of images and videos.
2. Novel compressive sensing technique to retrieve the images or videos of multi
modalities or analysing lung cancer, according to claim 1, includes a resultant
unit, wherein the resultant unit will display the results of Machine learning unit.
3. Novel compressive sensing technique to retrieve the images or videos of multi
modalities or analysing lung cancer, according to claim 1, includes database of
images and videos, wherein the images and videos of the lung cancer are captured
using various modalities are stored in the database. They are used for the purpose
of analysis.
| # | Name | Date |
|---|---|---|
| 1 | 202211012049-FORM 1 [07-03-2022(online)].pdf | 2022-03-07 |
| 2 | 202211012049-DRAWINGS [07-03-2022(online)].pdf | 2022-03-07 |
| 3 | 202211012049-COMPLETE SPECIFICATION [07-03-2022(online)].pdf | 2022-03-07 |
| 4 | 202211012049-FORM-9 [14-03-2022(online)].pdf | 2022-03-14 |