Ge Medical Systems Global Technology Company, LLC

General Electric Company

Francois Serge Nicolas

Gopal Biligeri Avinash

John Michael Sabol

Kenneth Scott Kump

Kadri Nizar Jabri

Renuka Uppaluri

Amber Elaine Rader

Remy Klausz

Vincent Stanley Polkus

Mohamed Ali Hamadeh

Michael John Barber

Jianguo Zhao

The present technique provides a variety of processing schemes for decomposing soft tissue and bone images more accurately from low and high-energy images acquired from an imaging system, such as a dual-energy digital radiography system using flat-panel technology. In particular, a parameter selection process is provided for automatically computing the decomposition parameters WS and WB to create soft tissue and bone images, respectively. The parameter selection process modifies a default decomposition parameter based on a variety of image and technique variables, such as intensity levels of the low and high-energy images, the patient size, and the collimator filtration setting. The parameter selection process avoids robustness problems associated with image-based algorithms, and the process may operate without any direct user interaction.

Automatic selection of the log-subtraction decomposition parameters for dual energy chest radiography

A method is provided to automatically determine a structure cancelled image in a dual energy decomposition system. A high energy and a low energy level image of internal anatomy formed of at least first and second types of structure are acquired. A characteristic mask is computed using a gradient mask and a localization mask. A first cancellation parameter is evaluated against the characteristic mask, and a second cancellation parameter is computed based upon the first cancellation parameter. The first or second cancellation parameter is selected from a range in a look-up table determined by an effective kVp used to acquire the high level image and an effective kVp used to acquire the low level image. An image of soft structure and an image of hard structure are obtained from the first and second energy level images according to a cancellation equation using the first and second cancellation parameters.

Method and apparatus to automatically determine tissue cancellation parameters in X-ray dual energy imaging

A system and method for improved imaging of a patient through the use of low-dose exposure aided positioning is provided. The patient is positioned in the X-ray system and them imaged with a low-dose pre-shot to verify the positioning of the patient. If the patient's positioning is acceptable, the patient is then imaged with a full-dose X-ray exposure. If the patient's positioning is not acceptable, the patient is repositioned and re-imaged with a low-dose pre-shot until the patient's positioning is acceptable. The low-dose pre-shot may take the form of a low-dose X-ray imaging sequence. The present invention thus provides for rapid verification of the proper positioning of the patient in the X-ray system in order to provide for optimal X-ray image quality. Additionally, the X-ray imaging system thus minimizes the additional exposure to X-ray radiation on the part of the patient.

Low-dose exposure aided positioning (LEAP) for digital radiography

A method of processing dual energy images. The method includes obtaining a first image generated at a first energy level and obtaining a second image generated at a second energy level different than the first energy level. The first and second images are pre-processed and decomposed to form a raw soft-tissue image and a raw bone image. The raw soft-tissue image is post-processed to form a processed soft-tissue image and the raw bone image is post-processed to form a processed bone image. The processed soft-tissue image and the processed bone image are then display processed.

Method, system and computer product for processing dual energy images

A system and method for improving the image quality of an X-ray image of a patient in a dual energy X-ray imaging system is provided. The system includes a heart cycle monitor, and X-ray emitter and an X-ray detector. A patient is positioned between the X-ray emitter and the X-ray detector. The heart cycle monitor monitors the cardiac cycle of the patient to detect a cardiac trigger. Once the cardiac trigger has been detected, the X-ray emitter emits high energy and low energy X-rays through the patient and the X-ray detector detects the emissions and forms images. The X-ray detector then performs a number of scrubs. Then the X-ray emitter acquires at least one offset image. The offset and the X-ray images are then combined to form X-ray images that may then be employed for dual energy X-ray processing.

System and method for synchronization of the acquisition of images with the cardiac cycle for dual energy imaging

A method for determining a suggested value for a cancellation parameter for a dual energy decomposition includes obtaining a first energy level image of internal structure, obtaining a second, lower, energy level image of the internal structure, and iteratively processing the images to determine a provisional value for the cancellation parameter. The iteration includes varying a cancellation parameter in a cancellation equation, obtaining a structure cancelled image from the first and second energy level images according to the cancellation equation, and evaluating a cancellation metric from the structure cancelled image. The provisional cancellation parameter may then be chosen (e.g., as the value that approximately minimizes a variance cancellation metric). Further iterations may be performed around the provisional cancellation parameter to refine the provisional cancellation parameter into a final cancellation parameter.

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Wauwatosa, WI, United States of America

Francois Serge Nicolas