Claims Analysis
Total Claims: 12
Claim 1
Independent Claim
64 words
A method of determining the imaged posture of a medical image, comprising the steps of: (i) generating an accumulative histogram defining cumulative distributions of image signals bearing a transmitted image of a human body; (ii) determining a rate of change of said accumulative histogram in a predetermined region thereof; and (iii) determining the imaged posture of said image based on said rate of change.
Claim 2
Independent Claim
64 words
A method of determining the imaged posture of a medical image, comprising the steps of: (i) generating an accumulative histogram defining cumulative distributions of image signals bearing a transmitted image of a human body; (ii) determining a rate of change of said accumulative histogram in a predetermined region thereof; and (iii) determining the imaged posture of said image based on said rate of change.
Claim 3
Independent Claim
51 words
A method of determining the imaged posture of a medical image, comprising the steps of: (i) generating a histogram of an image signal bearing a transmitted image of a human body; (ii) determining the separation of said histogram; and (iii) determining the imaged posture of said image based on said separation.
Claim 4
Independent Claim
51 words
A method of determining the imaged posture of a medical image, comprising the steps of: (i) generating a histogram of an image signal bearing a transmitted image of a human body; (ii) determining the separation of said histogram; and (iii) determining the imaged posture of said image based on said separation.
Claim 5
Independent Claim
74 words
A method of determining the imaged posture of a medical image, comprising the steps of: (i) generating a histogram of an image signal bearing a transmitted image of a human body; (ii) determining the degree of matching between a pattern of said histogram and a plurality of reference image signal histogram patterns predefined of imaged postures of the image; and (iii) determining the imaged posture of said image based on said degree of matching.
Claim 6
Independent Claim
74 words
A method of determining the imaged posture of a medical image, comprising the steps of: (i) generating a histogram of an image signal bearing a transmitted image of a human body; (ii) determining the degree of matching between a pattern of said histogram and a plurality of reference image signal histogram patterns predefined of imaged postures of the image; and (iii) determining the imaged posture of said image based on said degree of matching.
Claim 7
Independent Claim
107 words
A method of determining the imaged posture of a medical image, comprising the steps of: (i) generating a histogram of an image signal bearing a transmitted image of a human body; (ii) determining a function approximating a pattern of said histogram; (iii) thereafter, determining a derivative of second order of said function; (iv) checking whether said derivative of second order is of a positive or negative value in a predetermined section of the histogram, the section corresponding to a region in the image; and (v) determining the imaged posture of said image based on whether said derivative of second order is of a positive or negative value.
Claim 8
Independent Claim
107 words
A method of determining the imaged posture of a medical image, comprising the steps of: (i) generating a histogram of an image signal bearing a transmitted image of a human body; (ii) determining a function approximating a pattern of said histogram; (iii) thereafter, determining a derivative of second order of said function; (iv) checking whether said derivative of second order is of a positive or negative value in a predetermined section of the histogram, the section corresponding to a region in the image; and (v) determining the imaged posture of said image based on whether said derivative of second order is of a positive or negative value.
Claim 9
Independent Claim
70 words
A method of determining the imaged posture of a medical image, comprising the steps of: (i) generating a histogram of an image signal bearing a transmitted image of a human body; (ii) detecting whether said histogram is basically of a single-peak form or a double-hump form; and (iii) determining the imaged posture of said image based on whether said histogram is basically of a single-peak form of a double-hump form.
Claim 10
Independent Claim
70 words
A method of determining the imaged posture of a medical image, comprising the steps of: (i) generating a histogram of an image signal bearing a transmitted image of a human body; (ii) detecting whether said histogram is basically of a single-peak form or a double-hump form; and (iii) determining the imaged posture of said image based on whether said histogram is basically of a single-peak form of a double-hump form.
Claim 11
Independent Claim
51 words
A method of determining the imaged posture of a medical image, comprising the steps of: (i) generating a histogram of an image signal bearing a transmitted image of a human body; (ii) determining the dispersion of said histogram; and (iii) determining the imaged posture of said image based on said dispersion.
Claim 12
Independent Claim
51 words
A method of determining the imaged posture of a medical image, comprising the steps of: (i) generating a histogram of an image signal bearing a transmitted image of a human body; (ii) determining the dispersion of said histogram; and (iii) determining the imaged posture of said image based on said dispersion.