Three-dimensional imaging with stereotactic ultrasonography

Trobaugh, Jason W.; Trobaugh, Darin J; Richard, William D.

doi:10.1016/0895-6111(94)90002-7

Cited by 84 publications

(58 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Optical The optical ('stereotactic') method works in a similar manner, except the emitter is replaced by at least three infrared LEDs [176]. A restriction of this technique is that there must be a line of sight at all times between the LEDs and the optical sensor.…”

Section: Automatic Position Sensingmentioning

confidence: 99%

“…more than one voxel) can be assigned from each pixel in order to reduce any empty space between scans. More sophisticated is closest-points interpolation [176], where each voxel bounded by two scan planes is assigned a distance weighted value based on the closest pixel in each of the two scan planes. An inverse-distance weighting scheme can also be used, in which the inversedistance weighted value of all the surrounding pixels in a bounding sphere of some chosen dimension [18], is assigned to each voxel.…”

Section: Data Interpolationmentioning

confidence: 99%

“…Interpolation methods for freehand scans include nearest-neighbour bin-filling [176], which is probably the simplest technique -pixel coordinates are transformed to 3D space, and rounded to the nearest voxel, which is then assigned the original pixel value. Larger 'bins' (i.e.…”

Section: Data Interpolationmentioning

confidence: 99%

See 2 more Smart Citations

Volume Measurement in Sequential Freehand 3-D Ultrasound

Treece

Prager

Gee

et al. 1999

Lecture Notes in Computer Science

View full text Add to dashboard Cite

SummaryThree-dimensional (3D) acquisition and visualisation techniques are increasingly being incorporated into commercial ultrasound scanners. The diagnostic benefit of such techniques is not yet convincing, compared to the added inconvenience of using them. Although it is straightforward to use special probes to acquire 3D data, these are more restrictive than conventional 2D probes. The only 3D technique which retains the scanning flexibility and wide area of application of 2D ultrasound, is freehand 3D ultrasound, where a 2D probe is moved manually and its location sensed remotely. However, it is hard to generate a regular volume of data from the resulting non-parallel ultrasound images.Probably the largest body of evidence justifying the use of 3D ultrasound relates to the accurate measurement of volume. However, volume measurement with 3D ultrasound requires segmentation (i.e. outlining of the area of interest), which is a time consuming, manual task. Both this problem, and that of creating a regular volume of data, are eased by the use of sequential freehand 3D ultrasound, a recent technique amplified in this thesis, where all the processing is performed on the original ultrasound images. Thus a regular array of data is not required, and segmentation is performed on images whose features and artifacts are recognisable to the clinician.In this thesis, novel volume measurement and surface visualisation algorithms are developed for sequential freehand 3D ultrasound. A particular emphasis is placed on limiting the number of segmented cross-sections required for a given measurement accuracy. Inherent accuracy is demonstrated by simulation to be within ±2%, from 10 or fewer cross-sections. In vivo precision, including registration and segmentation errors, is shown to be within ±7%, even on complicated objects such as the liver or a foetus, from similar numbers of cross-sections. The volume can be updated in real-time as each image is segmented, and surfaces can be interpolated and visualised within a few seconds. Such visualisation can reveal errors in the segmentation which are otherwise hard to see.In addition, a framework for multiple-sweep data is developed, which allows volume measurement and surface visualisation of anatomy that can only be scanned by several sweeps of the ultrasound probe. Accurate volume measurements can therefore be made of all areas observable by conventional ultrasound. These measurements can be accomplished within approximately 5 minutes of examining the patient.The surface visualisation algorithms can also produce high quality renderings of data from a wide range of sources in medical imaging and other fields. The interpolation of cross-sections is an improvement on shape-based interpolation, and the triangular mesh created from the data is of a much higher quality than that using marching cubes. An extension of the surface interpolation algorithm can also be used to gradually change, or 'morph' one 3D surface to another, a technique commonly used in the film industry.

show abstract

Section: Automatic Position Sensingmentioning

confidence: 99%

Section: Data Interpolationmentioning

confidence: 99%

See 1 more Smart Citation

Volume Measurement in Sequential Freehand 3-D Ultrasound

Treece

Prager

Gee

et al. 1999

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…The images and corresponding tracking data from the tracking sensors are transferred to the workstation in real-time. Based on these images and tracking data, a preoperative ultrasound volume is immediately reconstructed on the workstation [8]. Since all the 2D ultrasound images are tracked, the position and orientation of the reconstructed ultrasound volume can be determined in the tracking space.…”

Section: Clinical Workflowmentioning

confidence: 99%

Closed-Loop Control in Fused MR-TRUS Image-Guided Prostate Biopsy

Kruecker

Guion

et al.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

View full text Add to dashboard Cite

Abstract. Multi-modality fusion imaging for targeted prostate biopsy is difficult because of prostate motion during the biopsy procedure. A closed-loop control mechanism is proposed to improve the efficacy and safety of the biopsy procedure, which uses real-time ultrasound and spatial tracking as feedback to adjust the registration between a preoperative 3D image (e.g. MRI) and realtime ultrasound images. The spatial tracking data is used to initialize the imagebased registration between intraoperative ultrasound images and a preoperative ultrasound volume. The preoperative ultrasound volume is obtained using a 2D sweep and manually registered to the MRI dataset before the biopsy procedure. The accuracy of the system is 2.3±0.9 mm in phantom studies. The results of twelve patient studies show that prostate motion can be effectively compensated using closed-loop control.

show abstract

“…This is typically the receiver of an electromagnetic position sensor [4,5,6,7,8], as illustrated in Figure 1, although alternatives include acoustic spark gaps [9], mechanical arms [10] and optical sensors [11,12]. Measurements from the electromagnetic position sensor are used to determine the positions and orientations of the B-scans with respect to a fixed datum, usually the transmitter of the electromagnetic position sensor.…”

Section: Introductionmentioning

confidence: 99%

PC-Based System for Calibration, Reconstruction, Processing, and Visualization of 3D Ultrasound Data Based on a Magnetic-Field Position and Orientation Sensing System

Boctor

Saad

Chang

et al. 2001

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. 3D-ultrasound can become a new, fast, non-radiative, noninvasive, and inexpensive tomographic medical imaging technique with unique advantages for the localization of vessels and tumors in soft tissue (spleen, kidneys, liver, breast etc.). In general, unlike the usual 2D-ultrasound, in the 3D-case a complete volume is covered with a whole series of cuts, which would enable a 3D reconstruction and visualization.In the last two decades, many researchers have attempted to produce systems that would allow the construction and visualization of threedimensional (3-D) images from ultrasound data. There is a general agreement that this development represents a positive step forward in medical imaging, and clinical applications have been suggested in many different areas. However, it is clear that 3-D ultrasound has not yet gained widespread clinical acceptance, and that there are still important problems to solve before it becomes a common tool.

show abstract

Three-dimensional imaging with stereotactic ultrasonography

Cited by 84 publications

References 5 publications

Volume Measurement in Sequential Freehand 3-D Ultrasound

Volume Measurement in Sequential Freehand 3-D Ultrasound

Closed-Loop Control in Fused MR-TRUS Image-Guided Prostate Biopsy

PC-Based System for Calibration, Reconstruction, Processing, and Visualization of 3D Ultrasound Data Based on a Magnetic-Field Position and Orientation Sensing System

Contact Info

Product

Resources

About