Probe calibration for freehand 3-D ultrasound

Lindseth, Frank; Tangen, Geir; Langø, Thomas; Bang, Jon

doi:10.1016/s0301-5629(03)01012-3

Cited by 97 publications

(81 citation statements)

References 22 publications

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“…We therefore need to determine the scales in the ultrasound images and the rigid-body transformation from the electrical centre of the position sensor to the corner of the ultrasound scan plane. This is done through a process called probe calibration [12]. Points in the B-scan are first transformed to the sensor's coordinate system by the parameters found by calibration, and then to the world space by the sensor's readings.…”

Section: Introductionmentioning

confidence: 99%

Rapid, easy and reliable calibration for freehand 3D ultrasound

Hsu

Prager

Gee

et al. 2006

Ultrasound in Medicine & Biology

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This paper presents improvements to the plane-based technique for calibrating freehand 3D ultrasound systems. The improvements are designed to make it easier for inexperienced users to perform plane-based calibration and to know that they have got a reliable result. In particular, we enable the calibration to be performed using water at room temperature while producing a result that is valid for average soft tissue, and we show how it is possible to provide feedback on the reliability of the calibration using a metric based on the curvature of the calibration criterion function. We present comprehensive results showing that these innovations improve the precision of the calibration and offer useful feedback to the user.

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Section: Introductionmentioning

confidence: 99%

Rapid, easy and reliable calibration for freehand 3D ultrasound

Hsu

Prager

Gee

et al. 2006

Ultrasound in Medicine & Biology

View full text Add to dashboard Cite

show abstract

“…Perhaps the greatest barrier to more widespread uptake of freehand scanning is the need for the add-on position sensor. This requires careful end-user calibration [12] and imposes cumbersome constraints on the scanning protocol. Typically, the operator must maintain a clear line of sight between the probe and the position sensor's fixed base station, and must be careful not to stray outside the sensor's operating region.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Reconstruction of Unconstrained Freehand 3D Ultrasound Data

Housden

Gee

Treece

et al. 2007

Ultrasound in Medicine & Biology

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Freehand 3D ultrasound can be acquired without a position sensor by finding the separations of pairs of frames using information in the images themselves. Previous work has not considered how to reconstruct entirely freehand data, which can exhibit irregularly spaced frames, intersecting frames, non-monotonic out-of-plane probe motion and significant in-plane motion. This paper presents reconstruction methods that overcome these limitations and are able to robustly reconstruct unconstrained freehand data. The methods are assessed on freehand data sets and compared to reconstructions obtained with a position sensor.

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“…Many approaches for probe calibration have been presented, and a frequently used technique is to acquire images of a phantom with known geometric and physical properties, and to identify these known structures in the images. The probe calibration matrix can then be found, since the locations of the features are known in the global positioning system (14,15). For ultrasound-based systems no registration of the image volumes is required, since the ultrasound images are acquired directly in the same coordinate system as navigation is performed.…”

Section: Ultrasound Imaging In Neuronavigationmentioning

confidence: 99%

“…For ultrasound-based systems no registration of the image volumes is required, since the ultrasound images are acquired directly in the same coordinate system as navigation is performed. The accuracy of ultrasound-based neuronavigation systems, which is affected by the calibration of the ultrasound probe and the 3D reconstruction algorithm, will typically be in the range 1-2 mm, as described (15,16).…”

Section: Ultrasound Imaging In Neuronavigationmentioning

confidence: 99%