4D Reconstruction of Fetal Heart Ultrasound Images in Presence of Fetal Motion

Tanner, Christine; Flach, Barbara; Eggenberger, Céline; Mattausch, Oliver; Bajka, Michael; Göksel, Orçun

doi:10.1007/978-3-319-46720-7_69

Cited by 2 publications

(4 citation statements)

References 12 publications

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“…Note that this combined optimization allows for deviations from a regular heart rate. Its performance was confirmed by observer studies on in-vivo data when comparing it to the baseline and the state-of-the-art method from the initial study [14].…”

Section: Discussionmentioning

confidence: 87%

“…Due to the consistent performance of M6-L1, the lower runtime for OR and the slightly better performance of IF , we selected M6-L1-CD2-IF -OR as the best method of this study, which we call from now onwards proposed method. In all further tests, the proposed method is compared to the baseline (M0-OR×) and the state-of-the-art method [14] (M2-CD2-IF×-OR ). Fig.…”

Section: D Reconstruction Of Simulated Datamentioning

confidence: 99%

“…Temporal visual quality of the reconstructions was ranked by 4 technical US experts in addition to an US specialist in obstetrics and gynecology. In contrast to our earlier study in [14], herein we additionally (i.) investigate the effects of US-specific filtering on reconstructions and of a L1-norm phase constraint, which is seen to yield better results; (ii.)…”

Section: Introductionmentioning

confidence: 99%

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Consistent reconstruction of 4D fetal heart ultrasound images to cope with fetal motion

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Section: Discussionmentioning

confidence: 87%

Section: D Reconstruction Of Simulated Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Consistent reconstruction of 4D fetal heart ultrasound images to cope with fetal motion

et al. 2017

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“…in Tanner et al . [TFE*16]). Another potential application is the generation of images from other modalities such as CT and fluoroscopy to facilitate image registration to ultrasound [BAK*12, OAA*12].…”

Section: Discussion and Limitationsmentioning

confidence: 99%

Realistic Ultrasound Simulation of Complex Surface Models Using Interactive Monte‐Carlo Path Tracing

Mattausch

Makhinya

Göksel

2017

Computer Graphics Forum

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Ray‐based simulations have been shown to generate impressively realistic ultrasound images in interactive frame rates. Recent efforts used GPU‐based surface raytracing to simulate complex ultrasound interactions such as multiple reflections and refractions. These methods are restricted to perfectly specular reflections (i.e. following only a single reflective/refractive ray), whereas real tissue exhibits roughness of varying degree at tissue interfaces, causing partly diffuse reflections and refractions. Such surface interactions are significantly more complex and can in general not be handled by conventional deterministic raytracing approaches. However, these can be efficiently computed by Monte‐Carlo sampling techniques, where many ray paths are generated with respect to a probability distribution. In this paper, we introduce Monte‐Carlo raytracing for ultrasound simulation. This enables the realistic simulation of ultrasound‐tissue interactions such as soft shadows and fuzzy reflections. We discuss how to properly weight the contribution of each ray path in order to simulate the behaviour of a beamformed ultrasound signal. Tracing many individual rays per transducer element is easily parallelizable on modern GPUs, as opposed to previous approaches based on recursive binary raytracing. We further propose a significant performance optimization based on adaptive sampling.

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4D Reconstruction of Fetal Heart Ultrasound Images in Presence of Fetal Motion

Cited by 2 publications

References 12 publications

Consistent reconstruction of 4D fetal heart ultrasound images to cope with fetal motion

Consistent reconstruction of 4D fetal heart ultrasound images to cope with fetal motion

Realistic Ultrasound Simulation of Complex Surface Models Using Interactive Monte‐Carlo Path Tracing

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