Time-of-flight sensor for respiratory motion gating

Schaller, Christian; Penne, Jochen; Hornegger, Joachim

doi:10.1118/1.2938521

Cited by 52 publications

(52 citation statements)

References 9 publications

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“…2a). Schaller et al presented a ToF-based system to acquire a low-dimensional respiratory signal [21]. Lately, similar systems using Microsoft Kinect have been presented by Xia et al and Alnowami et al [22,23].…”

Section: Positioning and Motion Management In Radiation Therapymentioning

confidence: 99%

Real-Time Range Imaging in Health Care: A Survey

Bauer

Seitel

Hofmann³

et al. 2013

Lecture Notes in Computer Science

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Abstract. The recent availability of dynamic, dense, and low-cost range imaging has gained widespread interest in health care. It opens up new opportunities and has an increasing impact on both research and commercial activities. This chapter presents a state-of-the-art survey on the integration of modern range imaging sensors into medical applications. The scope is to identify promising applications and methods, and to provide an overview of recent developments in this rapidly evolving domain. The survey covers a broad range of topics, including guidance in computer-assisted interventions, operation room monitoring and workflow analysis, touch-less interaction and on-patient visualization, as well as prevention and support in elderly care and rehabilitation. We put emphasis on dynamic and interactive tasks where real-time and dense 3-D imaging forms the key aspect. While considering different range imaging modalities that fulfill these requirements, we particularly investigate the impact of Time-of-Flight imaging in this domain. Eventually, we discuss practical demands and limitations, and open research issues and challenges that are of fundamental importance for the progression of the field.

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Section: Positioning and Motion Management In Radiation Therapymentioning

confidence: 99%

Real-Time Range Imaging in Health Care: A Survey

Bauer

Seitel

Hofmann³

et al. 2013

Lecture Notes in Computer Science

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“…Recently, it has been demonstrated that respiratory motion can be effectively monitored using real-time 3D surface imaging [3]. Schaller et al [4] presented a time-of-flight respiratory motion detection system that estimates at the ToF frame rate of 25 fps two 1D-signals for the thorax and abdomen movement, respectively. Fayad et al [5] proposed to use ToF as surrogate to develop a respiration model using PCA.…”

Section: Introductionmentioning

confidence: 99%

“…Based on ρ, the radial distance (range) r from the sensor element to the object can be computed as r = cρ 4πf mod where f mod denotes the modulation frequency and c the speed of light. The technology has recently been proposed for diagnostic, interventional and therapeutic medical applications such as patient positioning [9] and respiratory motion detection [4]. However, due to physical limitations of the sensor, depth data from ToF cameras are subject to high temporal noise and exhibit systematic errors.…”

Section: Introductionmentioning

confidence: 99%

Joint ToF Image Denoising and Registration with a CT Surface in Radiation Therapy

Bauer

Berkels

Hornegger

et al. 2012

Lecture Notes in Computer Science

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Abstract. The management of intra-fractional respiratory motion is becoming increasingly important in radiation therapy. Based on in advance acquired accurate 3D CT data and intra-fractionally recorded noisy timeof-flight (ToF) range data an improved treatment can be achieved. In this paper, a variational approach for the joint registration of the thorax surface extracted from a CT and a ToF image and the denoising of the ToF image is proposed. This enables a robust intra-fractional full torso surface acquisition and deformation tracking to cope with variations in patient pose and respiratory motion. Thereby, the aim is to improve radiotherapy for patients with thoracic, abdominal and pelvic tumors. The approach combines a Huber norm type regularization of the ToF data and a geometrically consistent treatment of the shape mismatch. The algorithm is tested and validated on synthetic and real ToF/CT data and then evaluated on real ToF data and 4D CT phantom experiments.

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“…used for AR applications (Koch et al, 2009). In the context of biomedical applications ToF cameras have been used as an imaging modality for respiratory motion gating (Schaller et al, 2008) and patient positioning (Placht et al, 2012;Schaller et al, 2009) in radiotherapy as well as for building patient-specific respiratory motion models Wentz et al, 2012).…”

Section: State-of-the-artmentioning

confidence: 99%

Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery

Maier-Hein

Mountney

Bartoli

et al. 2013

Medical Image Analysis

242

130

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One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-operative morphology and motion of soft-tissues. This information is prerequisite to the registration of multi-modal patient-specific data for enhancing the surgeon's navigation capabilites by observing beyond exposed tissue surfaces and for providing intelligent control of robotic-assisted instruments. In minimally invasive surgery (MIS), optical techniques are an increasingly attractive approach for in vivo 3D reconstruction of the soft-tissue surface geometry. This paper reviews the state-of-the-art methods for optical intra-operative 3D reconstruction in laparoscopic surgery and discusses the technical challenges and future perspectives towards clinical translation. With the recent paradigm shift of surgical practice towards MIS and new developments in 3D optical imaging, this is a timely discussion about technologies that could facilitate complex CAS procedures in dynamic and deformable anatomical regions.

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Time-of-flight sensor for respiratory motion gating

Cited by 52 publications

References 9 publications

Real-Time Range Imaging in Health Care: A Survey

Real-Time Range Imaging in Health Care: A Survey

Joint ToF Image Denoising and Registration with a CT Surface in Radiation Therapy

Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery

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