Statistical acoustic sensing-based system and method for in-vehicle child presence detection
US-2024329239-A1 · Oct 3, 2024 · US
US9265479B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9265479-B2 |
| Application number | US-98641411-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 7, 2011 |
| Priority date | Jan 14, 2010 |
| Publication date | Feb 23, 2016 |
| Grant date | Feb 23, 2016 |
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According to one embodiment, a ultrasonic diagnosis apparatus comprises an ultrasonic scanning unit configured to scan a region including at least part of a liver of an object with an ultrasonic wave and acquire an echo signal associated with the liver, an image generating unit configured to generate an ultrasonic image of the liver based on an echo signal associated with the liver, and a calculation unit configured to calculate at least one of a first index indicating an irregularity degree of the liver and a second index indicating an irregularity feature of the liver by using the ultrasonic image of the liver.
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What is claimed is: 1. An ultrasonic diagnosis apparatus to evaluate the type and stage of liver disease comprising: a transmission and reception unit implemented by circuitry configured to transmit an ultrasonic wave to a region including at least part of a liver of an object and to receive an echo signal associated with the liver, via an ultrasonic probe; an image generating unit implemented by circuitry configured to generate an ultrasonic image of the liver in response to the echo signal associated with the liver; and a calculation unit implemented by circuitry configured to extract contour points and to calculate an approximate curve of the contour of the liver by using the ultrasonic image of the liver and to calculate a frequency distribution indicating an irregularity feature of the liver utilizing the positional relation between the approximate curve and the contour points of the liver, wherein the number of high-frequency components in the frequency distribution are utilize to determine the type and stage of the liver disease. 2. The apparatus according to claim 1 , wherein the calculation unit acquires both a first boundary line of the liver acquired by contour extraction processing including smoothing and a second boundary line of the liver by contour extraction processing including no smoothing by using the ultrasonic image of the liver, calculate the approximate curve by using the first boundary line and the second boundary line, and calculates the frequency distribution by using the second boundary line. 3. The apparatus according to claim 2 , wherein the calculation unit acquires the first boundary line and the second boundary line by using a Fast Marching method. 4. The apparatus according to claim 2 , wherein the calculation unit calculates an average value of distances between the first boundary line and the second boundary line as the approximate curve. 5. The apparatus according to claim 4 , wherein the calculation unit acquires the first boundary line and the second boundary line by using the Fast Marching method. 6. The apparatus according to claim 2 , wherein the calculation unit calculates, as the frequency distribution, a spectrum distribution obtained by projecting the second boundary line on a kernel coordinate system of the approximate curve and transforming the second boundary line into a frequency domain. 7. The apparatus according to claim 6 , wherein the calculation unit acquires the first boundary line and the second boundary line by using the Fast Marching method. 8. The apparatus according to claim 1 , wherein the calculation unit further outputs a liver function correspondence table associating the approximate curve and the frequency distribution with a liver function. 9. An ultrasonic image processing apparatus to evaluate the type and stage of liver disease comprising: a transmission and reception unit implemented by circuitry configured to transmit an ultrasonic wave to a region including at least part of a liver of an object and to receive an echo signal associated with the liver, via an ultrasonic probe; an image generating unit implemented by circuitry configured to generate an ultrasonic image of the liver in response to the echo signal associated with the liver; and a calculation unit implemented by circuitry configured to extract contour points and to calculate an approximate curve of the contour of the liver by using the ultrasonic image of the liver and to calculate a frequency distribution indicating an irregularity feature of the liver utilizing the positional relations between the approximate curve and the contour points of the liver, wherein the number of high-frequency components in the frequency distribution are utilize to determine the type and stage of the liver disease. 10. The apparatus according to claim 9 , wherein the calculation unit acquires both a first boundary line of the liver acquired by contour extraction processing including smoothing and a second boundary line of the liver by contour extraction processing including no smoothing by using the ultrasonic image of the liver, calculate the approximate curve by using the first boundary line and the second boundary line, and calculates the frequency distribution by using the second boundary line. 11. The apparatus according to claim 10 , wherein the calculation unit acquires the first boundary line and the second boundary line by using a Fast Marching method. 12. The apparatus according to claim 10 , wherein the calculation unit calculates an average value of distances between the first boundary line and the second boundary line as the approximate curve. 13. The apparatus according to claim 12 , wherein the calculation unit acquires the first boundary line and the second boundary line by using the Fast Marching method. 14. The apparatus according to claim 10 , wherein the calculation unit calculates, as the frequency distribution, a spectrum distribution obtained by projecting the second boundary line on a kernel coordinate system of the approximate curve and transforming the second boundary line into a frequency domain. 15. The apparatus according to claim 14 , wherein the calculation unit acquires the first boundary line and the second boundary line by using the Fast Marching method. 16. The apparatus according to claim 9 , wherein the calculation unit further outputs a liver function correspondence table associating the approximate curve and the frequency distribution with a liver function.
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