Predicting respiratory motion for active canceling during percutaneous needle insertion

Riviere, Cameron N.; Thakral, Anshul; Iordachita, Iulian; Mitroi, G.; Stoianovici, Dan

doi:10.1109/iembs.2001.1019580

Cited by 36 publications

(21 citation statements)

References 9 publications

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“…Needle insertion has also been studied in the context of haptic rendering for simulation [30] and virtual reality systems for medical procedures [31,32]. Needle insertion with sensorless planning, respiratory motion simulation [33] and automatic targeting [34] are also topics that have attracted considerable research.…”

Section: Solutionmentioning

confidence: 99%

Needle insertion into soft tissue: A survey

Abolhassani

Patel

Moallem

2007

Medical Engineering & Physics

629

409

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Section: Solutionmentioning

confidence: 99%

Needle insertion into soft tissue: A survey

Abolhassani

Patel

Moallem

2007

Medical Engineering & Physics

629

409

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“…Previous studies have used alternative methods of measuring or gating breathing motion, such as strain gauge determination of abdominal circumference, spirometric measurement of lung volume, and optical tracking of markers, to monitor the respiratory cycles of patients (6)(7)(8)(9). Strain gauges make use of an elastic belt that stretches according to abdominal motion.…”

Section: Discussionmentioning

confidence: 99%

Respiratory Biofeedback during CT-guided Procedures

Locklin

Yanof

Luk

et al. 2007

Journal of Vascular and Interventional Radiology

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PURPOSE-Respiratory motion can be a complicating factor during image-guided interventions. The ability to reproduce breath-holds may facilitate safer needle-based procedures. The purpose of this study was to evaluate if respiratory biofeedback decreased variability among breath-holds and if the signals from the respiratory bellows belt can be used to measure target motion. MATERIALS AND METHODS-In phase 1 of the study, a respiratory bellows belt was applied to patients before image-guided interventional procedures. Belt stretch from respiratory motion was converted into voltage readings and displayed on a monitor as biofeedback. Patients were asked to perform inspiratory, expiratory, and midcycle breath-holds with and without the biofeedback. The variability in voltage readings between breath-holds with and without biofeedback was compared. In phase 2, the respiratory bellows belt was used during computed tomography (CT)-guided procedures with the patients blinded to the biofeedback. Voltage readings and CT series numbers were recorded as patients were asked to hold their breath during scans. The variability of CT z-axis targets was compared with the variability of voltage readings.RESULTS-A significant decrease in variability was found during expiratory breath-holds (P = . 0083) with trends toward significance with midcycle and inspiratory breath-holds. A positive correlation (Kendall τ = 0.5; P = .024) was shown between CT z-axis and belt stretch variability in subjects who received smaller doses of moderate sedation compared with those who received larger doses or general anesthesia.CONCLUSIONS-Biofeedback may help the patient to have a more consistent breath-hold. The belt could decrease the error and unpredictability from craniocaudal motion of targets during imageguided interventions.PATIENT respiratory motion can be a complicating factor when targeting a tumor for computed tomography (CT)-guided interventional procedures. Respiration-induced motion during the normal breathing cycle can result in significant shifts in tumor position, especially near the diaphragm, in the lung and abdomen (1). Consistent and reproducible breath-holds could reduce procedure time and the number of needle manipulations, promoting a safer procedure. Without a documented measure of their breath-hold position in the respiratory cycle, the patient cannot be expected to precisely reproduce similar pre-and intraprocedural breathholds. The air bellows belt measures chest wall or abdomen excursion and provides patients with visual biofeedback during their respiratory cycle.Address correspondence to J.K.L., National Institutes of Health, Building 10, Room 1C367A, 9000 Rockville Pike, Bethesda, MD 20892; E-mail: locklinj@cc.nih.gov. NIH Public Access MATERIALS AND METHODSIn the present study, a tool consisting of an air bellows belt (Philips Medical Systems, Cleveland, OH) attached to a visual feedback system shown to patients was evaluated for its ability to assist patients to more precisely reproduce preprocedural breath-hold...

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“…Respiration during MIS is usually regulated by a ventilator, creating an asymmetric periodic signal with an extended exhale phase. For example, the effect of respiration on the liver is modeled in [41] by a Prototype Repetitive Controller and using a weighted-frequency Fourier linear combiner in [48]. The motion of the cardiac surface, however, is more complex as it contains deformations caused by both the cardiac and respiratory cycle.…”

Section: Tissue Morphology Modelingmentioning

confidence: 99%

Three-Dimensional Tissue Deformation Recovery and Tracking

Mountney

Stoyanov

Yang

2010

IEEE Signal Process. Mag.

170

111

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Recent advances in surgical robotics have provided a platform for extending the current capabilities of minimally invasive surgery by incorporating both pre-operative and intra-operative imaging data. In this tutorial paper, we introduce techniques for in vivo 3D tissue deformation recovery and tracking, based on laparoscopic or endoscopic images. These optically based techniques provide a unique opportunity for recovering surface deformation of the softtissue without the need of additional instrumentation. They can therefore be easily incorporated into the existing surgical workflow. Technically, the problem formulation is challenging due to non-rigid deformation of the tissue and instrument interaction. Current approaches and future research directions in terms of intra-operative planning and adaptive surgical navigation are explained in detail.Index Terms-image-guidance, robotic assisted minimally invasive surgery, 3D deformation recovery.

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Predicting respiratory motion for active canceling during percutaneous needle insertion

Cited by 36 publications

References 9 publications

Needle insertion into soft tissue: A survey

Needle insertion into soft tissue: A survey

Respiratory Biofeedback during CT-guided Procedures

Three-Dimensional Tissue Deformation Recovery and Tracking

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