Three-dimensional ultrasound imaging of the eye

Downey, Dónal B.; Nicolle, David A.; Levin, M F; Fenster, Aaron

doi:10.1038/eye.1996.11

Cited by 42 publications

(26 citation statements)

References 12 publications

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“…This also allows the study of organ motion itself; much of the development of 3D ultrasound has been targeted towards such studies of the heart. Shorter examination times are also of benefit to both clinician and patient [51,57].…”

Section: Why 3d Ultrasound?mentioning

confidence: 99%

“…Accurate volume measurement of melanomas has also been used for follow up of therapeutic response [152]. 3D ultrasound display has been suggested to be better than conventional 2D for the evaluation of vitreous haemorrhages and retinal detachment [51].…”

Section: Why Volume Measurement and Surface Visualisation?mentioning

confidence: 99%

“…This is generally achieved by attaching the transducer to a stepper motor, for linear [92,104,117,169], rotational [51,91,136], fan [20,69] or intravascular linear [102] scanning. This kind of approach has also been used in integrated transducers, for instance Kretz Technik's 4 Combison 330 [1,2] and 530 [30,107,121,173], which scans an entire pyramidal volume.…”

Section: Automatic Mechanical Localisationmentioning

confidence: 99%

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Volume Measurement in Sequential Freehand 3-D Ultrasound

Treece

Prager

Gee

et al. 1999

Lecture Notes in Computer Science

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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.

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Section: Why 3d Ultrasound?mentioning

confidence: 99%

Section: Why Volume Measurement and Surface Visualisation?mentioning

confidence: 99%

Section: Automatic Mechanical Localisationmentioning

confidence: 99%

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Volume Measurement in Sequential Freehand 3-D Ultrasound

Treece

Prager

Gee

et al. 1999

Lecture Notes in Computer Science

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“…This discovery led to the development of Doppler ultrasonography, and thanks to Erickson and Hendrix it found its applications also in ophthalmology. In the 1990s, 3D diagnostic methods were introduced in ocular ultrasonography [23,24]. In the following years, optical coherence tomography (OCT) started to be employed, which allows the doctor to assess cross-sections of the cornea, vitreous body and retina, as well as optic nerve head [25,26].…”

Section: Diagnosing Diabetic Retinopathymentioning

confidence: 99%

Diagnosis and treatment of diabetic retinopathy — historical overview

Matuszewski

Bandurska-Stankiewicz

Modzelewski

et al. 2017

Clinical Diabetology

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“…Currently, 3D eye imaging is realized by combining a sequence of 2D cross-sectional OCT [9] or ultrasound images [10]. However, the iris is a dynamic tissue and its shape and configuration may be altered with eye motion; consequently, iris anatomy can change during recording of the multiple 2D cross-sectional images required.…”

Section: Introductionmentioning

confidence: 99%

Human iris three-dimensional imaging at micron resolution by a micro-plenoptic camera

Chen¹,

Woodward²,

Burke³

et al. 2017

Biomed. Opt. Express

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A micro-plenoptic system was designed to capture the three-dimensional (3D) topography of the anterior iris surface by simple single-shot imaging. Within a depth-of-field of 2.4 mm, depth resolution of 10 µm can be achieved with accuracy (systematic errors) and precision (random errors) below 20%. We demonstrated the application of our microplenoptic imaging system on two healthy irides, an iris with naevi, and an iris with melanoma. The ridges and folds, with height differences of 10~80 µm, on the healthy irides can be effectively captured. The front surface on the iris naevi was flat, and the iris melanoma was 50 ± 10 µm higher than the surrounding iris. The micro-plenoptic imaging system has great potential to be utilized for iris disease diagnosis and continuing, simple monitoring.

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Three-dimensional ultrasound imaging of the eye

Cited by 42 publications

References 12 publications

Volume Measurement in Sequential Freehand 3-D Ultrasound

Volume Measurement in Sequential Freehand 3-D Ultrasound

Diagnosis and treatment of diabetic retinopathy — historical overview

Human iris three-dimensional imaging at micron resolution by a micro-plenoptic camera

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