Medical image processing apparatus and breast image processing method thereof
AssigneeTaihao Medical Inc.
InventorsRuey-Feng Chang, Rong-Tai Chen, Hsin-Hung Lai, Hong-Hao Chen
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AssigneeTaihao Medical Inc.
InventorsRuey-Feng Chang, Rong-Tai Chen, Hsin-Hung Lai, Hong-Hao Chen
Estimating the term…
A medical image processing apparatus and a breast image processing method thereof are provided. The processing method at least contains but not limited to the following steps. At least one slice of breast image is obtained. Mammary glandular tissue in each breast image is detected through a mammary glandular tissue detector. The mammary glandular tissue detector is based on texture characteristic analysis. Therefore, the embodiments of the present disclosure would assist density analysis of the mammary glandular tissue and efficiently reduce false positive of computer-aided detection. In addition, based on a result of the density analysis of the mammary glandular tissue, the embodiment would further determine lactation yield and present density diagrams of mammary glandular tissue of left and right breasts. A breast region may also be separated from the breast image based on rib information according to the embodiments of the present disclosure.
A breast image processing method, adapted to a medical image processing apparatus, the breast image processing method comprising:
A medical image processing apparatus, comprising:
Dependencies are inferred from the claim text.
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Inspection of images, e.g. flaw detection: biomedical image inspection
Specially adapted for specific body parts; specially adapted for specific clinical applications: for diagnosis of breast, i.e. mammography
Clinical applications: for diagnosis of the breast, e.g. mammography
Machine learning
About 9 years 9 months of term left · ends 22 Jul 2036 (estimated)
This application claims the priority benefit of Taiwan application serial no. 105102753, filed on Jan. 28, 2016, and Taiwan application serial no. 105112377, filed on Apr. 21, 2016. The entirety of each of the above-mentioned patent applications is hereby incorporated by reference herein and made a part of this specification.
1. Field of the Invention
The present disclosure relates to an image processing technique, and particularly relates to a medical image processing apparatus and a breast image processing method thereof.
The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
FIG. 1 is a block diagram of a medical image processing apparatus according to an embodiment of the present disclosure.
FIG. 2 is a flowchart illustrating a breast image processing method according to an embodiment of the present disclosure.
Reference will now be made in detail to the present preferred embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the description to refer to the same or like parts.
FIG. 1 is a block diagram of a medical image processing apparatus according to an embodiment of the present disclosure. Referring to FIG. 1, the medical image processing apparatus 100 at least includes (but not limited to) a storage unit 110 and a processing unit 150. The medical image processing apparatus 100 can be an electronic apparatus such as a server, a user device, a desktop computer, a notebook, a network computer, a working station, a personal digital assistant (PDA), a personal computer (PC), etc., which is not limited by the present disclosure.
The storage unit 110 may be a fixed or a movable device in any possible forms including a random access memory (RAM), a read-only memory (ROM), a flash memory or other similar devices, or a combination of the above-mentioned devices. In the present embodiment, the storage unit 110 is used for storing at least one slice of breast image and breast training image, a program code, a device configuration, buffer or permanent data, and records software programs such as an image input module 111, a mammary glandular detection module 113, a breast region segmentation module 114, a detection training module 115, a density quantification module 116, a false positive comparison module 117, a lactation yield assessment module 118, left and right breasts gland density symmetry measurement module 119, etc. The processing unit 150 can access and execute afore-mentioned modules, and operation details thereof will be described later in following embodiments. The storage unit 110 of the present embodiment is not limited to be a single memory device, and the aforementioned software modules can also be separately stored in two or more memory devices of the same type or different types.