Estimation of acoustic impedance from multiple ultrasound images with application to spatial compounding
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Citations
Ultrasound for locating anatomy or probe guidance
Registration strategies and similarity measures for three-dimensional ultrasound mosaicing.
Ultrasound registration: A review.
Bone surface image reconstruction using ultrasound
A Markov random field approach to group-wise registration/mosaicing with application to ultrasound
References
Simulation and fully automatic multimodal registration of medical ultrasound
Ultrasound physics and instrumentation
Real-Time Simulation of Medical Ultrasound from CT Images
A new method of spatial compounding imaging
The detection of breast microcalcifications with medical ultrasound
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Frequently Asked Questions (10)
Q2. What is the way to improve the SNR?
When scanning the same region from different positions, speckle noise, which is direction dependent, can be reduced and therefore the SNR is improved [22].
Q3. What is the clinical value of US compounding?
The clinical value of US compounding is mainly a result of increased quality and extended FOV of the images presented to the physician.
Q4. What is the ML framework used to estimate the phase of the ultrasound image?
In their estimation framework, the authors directly access the orientation information delivered by the phase calculation, which is very robust and accurate, so that the approximation makes sense.
Q5. What is the advantage of using ultrasound?
Ultrasound (US) has many advantages in comparison to other imaging modalities which has lead to its widespread use in clinical practice; it is (i) harmless at low power, (ii) portable, (iii) a real-time modality, and (iv) most importantly, cost effective.
Q6. What is the way to describe the acoustic relationship of anatomical structures?
And last, due to the increased features in the compounded view, specialists that are used to other modalities can better understand the spatial relationship of anatomical structures [10]; helping to bridge the gap between the modalities and making it easier to convey sonographic findings to other experts.
Q7. How did the authors simulate an ultrasound image from the global estimate?
The authors simulated an ultrasound image from the global estimate at 0◦ rotation, to make it comparable to the original US images, but the authors could have simulated this from an arbitrary position.
Q8. What is the advantage of averaging ultrasound images?
This has the advantage that the av-eraging becomes a less complex task, because the acoustic impedance images are less view-dependent than the original US images.
Q9. how do the authors estimate the acoustic impedance of an ultrasound image?
the authors have to define an US simulation function s, producing one of the n simulated US images Û = {û1, . . . , ûn}, by taking the corresponding transformation in T = {T1, . . . , Tn} and the acoustic impedance image z:s : (z, Ti) 7−→ ûi.
Q10. What is the acoustic impedance of the ultrasound image?
In contrast, compounding of estimated acoustic impedance images is straightforward because these images hold a correspondence between intensity value and tissue type.