Abstract. A novel real-time multi-sensor framework for range imag-ing (RI) based respiratory motion analysis in image guided interventions such as fractionated radiation therapy is presented. We constitute our method based upon real-time constraints in clinical practice and an ana-lytic analysis of RI based elastic body surface deformation fields. For the latter, we show that the underlying joint rigid and non-rigid registration problem is ill-conditioned and identify insufficient body coverage as an error source. Facing these issues, we propose a novel manifold ray casting technique enabling the reconstruction of an 180 ◦ coverage body surface model composed of ∼ 3 ·105 points from volumetrically fused multi-view range data in ∼ 25 ms. Exp...
PurposeOn-board magnetic resonance imaging (MRI) greatly enhances real-time target tracking capabili...
Surrogate-driven respiratory motion models relate the motion of the internal anatomy to easily acqui...
Motion estimation is a key enabler for many advanced medical imaging / image analysis applications, ...
© 2016 The Authors.Respiratory motion poses significant challenges in image-guided interventions. In...
Abstract. To manage respiratory motion in image-guided interventions a novel sparse-to-dense registr...
Accurate tracking and modeling of internal and external respiratory motion in the thoracic and abdom...
International audienceA main challenge in radiotherapy is to precisely take into account organs defo...
This work deals with the improvement of motion monitoring for cancer treatment with external radioth...
Respiratory motion analysis and management are crucial issues for a plurality of medical applicatio...
Abstract. To manage respiratory motion in image-guided interventions a novel sparse to dense registr...
Abstract. To ensure precise tumor irradiation in radiotherapy a stable breathing pattern is mandator...
International audienceRespiratory motion modeling of both tumor and surrounding tissues is a key ele...
Abstract—In image-guided radiotherapy (IGRT) of disease sites subject to respiratory motion, soft ti...
This paper describes a method of using a tracking system to track the upper part of the anterior sur...
Respiratory motion causes an important uncertainty in radiotherapy planning of the thorax and upper ...
PurposeOn-board magnetic resonance imaging (MRI) greatly enhances real-time target tracking capabili...
Surrogate-driven respiratory motion models relate the motion of the internal anatomy to easily acqui...
Motion estimation is a key enabler for many advanced medical imaging / image analysis applications, ...
© 2016 The Authors.Respiratory motion poses significant challenges in image-guided interventions. In...
Abstract. To manage respiratory motion in image-guided interventions a novel sparse-to-dense registr...
Accurate tracking and modeling of internal and external respiratory motion in the thoracic and abdom...
International audienceA main challenge in radiotherapy is to precisely take into account organs defo...
This work deals with the improvement of motion monitoring for cancer treatment with external radioth...
Respiratory motion analysis and management are crucial issues for a plurality of medical applicatio...
Abstract. To manage respiratory motion in image-guided interventions a novel sparse to dense registr...
Abstract. To ensure precise tumor irradiation in radiotherapy a stable breathing pattern is mandator...
International audienceRespiratory motion modeling of both tumor and surrounding tissues is a key ele...
Abstract—In image-guided radiotherapy (IGRT) of disease sites subject to respiratory motion, soft ti...
This paper describes a method of using a tracking system to track the upper part of the anterior sur...
Respiratory motion causes an important uncertainty in radiotherapy planning of the thorax and upper ...
PurposeOn-board magnetic resonance imaging (MRI) greatly enhances real-time target tracking capabili...
Surrogate-driven respiratory motion models relate the motion of the internal anatomy to easily acqui...
Motion estimation is a key enabler for many advanced medical imaging / image analysis applications, ...