Simulation and Fully Automatic Multimodal Registration of Medical Ultrasound

Wein, Wolfgang; Khamene, Ali; Clevert, Dirk-André; Kutter, Oliver; Navab, Nassir

doi:10.1007/978-3-540-75757-3_17

Cited by 73 publications

(58 citation statements)

References 8 publications

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“…Another approach used the combination of reflection and transmission images as in the case of Wein et al study. 10 The statistical similarity metrics like Mutual Information and Correlation Ratio were used to assess the correspondence between the original CT and US intensities. The method could not introduce the shadowing effect into the simulated images either.…”

Section: Simulation Of the Fishmentioning

confidence: 99%

Simulation of ultrasound backscatter images from fish

et al. 2011

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The objective of this work is to investigate ultrasound (US) backscatter in the MHz range from fish to develop a realistic and reliable simulation model. The long term objective of the work is to develop the needed signal processing for fish species differentiation using US. In in-vitro experiments, a cod (Gadus morhua) was scanned with both a BK Medical ProFocus 2202 ultrasound scanner and a Toshiba Aquilion ONE computed tomography (CT) scanner. The US images of the fish were compared with US images created using the ultrasound simulation program Field II. The center frequency of the transducer is 10 MHz and the Full Width at Half Maximum (FWHM) at the focus point is 0.54 mm in the lateral direction. The transducer model in Field II was calibrated using a wire phantom to validate the simulated point spread function. The inputs to the simulation were the CT image data of the fish converted to simulated scatter maps. The positions of the point scatterers were assumed to be uniformly distributed. The scatter amplitudes were generated with a new method based on the segmented CT data in Hounsfield Units and backscatter data for the different types of tissues from the literature. The simulated US images reproduce most of the important characteristics of the measured US image.

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Section: Simulation Of the Fishmentioning

confidence: 99%

Simulation of ultrasound backscatter images from fish

et al. 2011

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“…Wein et al [21], propose a model to simulate US from CT, by mapping CT Hounsfield units to acoustic impedance values. We can directly use this model without the need for a mapping.…”

Section: Physics Of Ultrasoundmentioning

confidence: 99%

Estimation of acoustic impedance from multiple ultrasound images with application to spatial compounding

Wachinger

Shams

Navab

2008

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

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Reflection of sound waves, due to acoustic impedance mismatch at the interface of two media, is the principal physical property which allows visualization with ultrasound. In this paper, we investigate reconstruction of the acoustic impedance from ultrasound images for the first time. Similar to spatial compounding, we combine multiple images to improve the estimation. We use phase information to determine regions of high reflection from an ultrasound image. We model the physical imaging process with an emphasis on the reflection of sound waves. The model is used in computing the acoustic impedance (up to a scale) from areas of high reflectivity. The acoustic impedance image can either be directly visualized or be used in simulation of ultrasound images from an arbitrary point of view. The experiments performed on in-vitro and in-vivo data show promising results.

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“…One approach to overcome this second problem is to adapt one modality to the other, e.g. by computing pseudo-US from CT data to register it to the original US [1], [2]. However, small-FOV registration proved to be a challenging and exigent task so far.…”

Section: Introductionmentioning

confidence: 99%

Ultrasound and ct registration quality: Elastography vs. classical B-Mode

Keil

Stolka

Wiebel

et al. 2009

2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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Ultrasound and computed tomography registration is a valuable tool for interventional imaging and navigation, but current methods are limited in reliability or usefulness, requiring large fields of view, large ultrasound penetration depth, distinct image features, or contours of the investigated organs. Computationally cheap, smallfield-of-view registration proved elusive so far. We propose the use of interventional ultrasound elastography imaging to perform limited-field-of-view, limited-features registration reliably, examining the image acquisition and registration in the example application of partial nephrectomies. Furthermore, the benefits of elastography vs. conventional B-Mode ultrasound imaging are investigated.

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Simulation and Fully Automatic Multimodal Registration of Medical Ultrasound

Cited by 73 publications

References 8 publications

Simulation of ultrasound backscatter images from fish

Simulation of ultrasound backscatter images from fish

Estimation of acoustic impedance from multiple ultrasound images with application to spatial compounding

Ultrasound and ct registration quality: Elastography vs. classical B-Mode

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