Three-dimensional echocardiography–guided beating-heart surgery without cardiopulmonary bypass: A feasibility study

Suematsu, Yoshihiro; Marx, Gerald R.; Stoll, Jeffrey A.; Dupont, Pierre E.; Cleveland, Robin O.; Howe, Robert D.; Triedman, John K.; Mihaljević, Tomislav; Mora, Bassem N.; Savord, Bernie J.; Salgo, Ivan S.; Nido, Pedro J. del

doi:10.1016/j.jtcvs.2004.06.011

Cited by 44 publications

(20 citation statements)

References 23 publications

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“…Using the notation introduced by Luengo Hendriks et al [17], points on a parametric shape are defined by the function c (s, p) where p defines the parameters of the shape, and s is a free parameter that corresponds to a specific point on the shape. In this framework, the Radon transform is rewritten as (2) A line segment in 3D is parameterized with 6 variables. (x 0 , y 0 , z 0 ) defines the center of the line segment in 3D.…”

Section: The Radon Transformmentioning

confidence: 99%

“…For example, beating heart intracardiac surgery is now possible with the use of three-dimensional ultrasound and minimally invasive instruments [2]. These techniques eliminate the need for cardio-pulmonary bypass and its well documented adverse effects, including delay of neural development in children, mechanical damage produced by inserting tubing into the major vessels, stroke risk, and significant decline in cognitive performance [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…Cannon et al [1] showed that complex surgical tasks, such as navigation, approximation, and grasping are possible with 3D ultrasound. However, initial animal trials revealed many challenges to the goal of ultrasound guided intracardiac surgery [2]. In a prototypical intracardiac procedure, Atrial Septal Defect Closure, an anchor driver was inserted through the cardiac wall to secure a patch covering the defect (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

GPU Based Real-Time Instrument Tracking with Three Dimensional Ultrasound

Novotny

Stoll

Vasilyev

et al. 2006

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006

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Real-time three-dimensional ultrasound enables new intra-cardiac surgical procedures, but the distorted appearance of instruments in ultrasound poses a challenge to surgeons. This paper presents a detection technique that identifies the position of the instrument within the ultrasound volume. The algorithm uses a form of the generalized Radon transform to search for long straight objects in the ultrasound image, a feature characteristic of instruments and not found in cardiac tissue. When combined with passive markers placed on the instrument shaft, the full position and orientation of the instrument is found in 3D space. This detection technique is amenable to rapid execution on the current generation of personal computer graphics processor units (GPU). Our GPU implementation detected a surgical instrument in 31 ms, sufficient for real-time tracking at the 25 volumes per second rate of the ultrasound machine. A water tank experiment found instrument orientation errors of 1.1 degrees and tip position errors of less than 1.8 mm. Finally, an in vivo study demonstrated successful instrument tracking inside a beating porcine heart.

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Section: The Radon Transformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

GPU Based Real-Time Instrument Tracking with Three Dimensional Ultrasound

Novotny

Stoll

Vasilyev

et al. 2006

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006

Self Cite

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“…Minimally invasive beating-heart ASD closure will avoid using CPB and improve the patient rehabilitation. Reliable visualization of structures within the heart has been one of the major challenges to successful beatingheart surgical interventions [12].…”

Section: Introductionmentioning

confidence: 99%

Atrial Septal Defect Tracking in 3D Cardiac Ultrasound

Linguraru

Vasilyev

Nido

et al. 2006

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006

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Abstract. We are working to develop beating-heart atrial septal defect (ASD) closure techniques using real-time 3-D ultrasound guidance. The major image processing challenges are the low image quality and the high frame rate. This paper presents comparative results for ASD tracking in sequences of 3D cardiac ultrasound. We introduce a block flow technique, which combines the velocity computation from optical flow for an entire block with template matching. Enforcing similarity constraints to both the previous and first frames ensures optimal and unique solutions. We compare the performance of the proposed algorithm with that of block matching and optical flow on six in-vivo 4D datasets acquired from porcine beating-heart procedures. Results show that our technique is more stable and has higher sensitivity than both optical flow and block matching in tracking ASDs. Computing velocity at the block level, our technique is much faster than optical flow and comparable in computation cost to block matching.

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“…Although less invasive, these procedures often involve myocardial arrest and use of cardiopulmonary bypass, which contribute to patient morbidity [3]. To further reduce invasiveness, techniques have been developed to perform interventions on the beating-heart [4,5].…”

Section: Introductionmentioning

confidence: 99%

Towards Subject-Specific Models of the Dynamic Heart for Image-Guided Mitral Valve Surgery

Linte

Wierzbicki

Moore

et al.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

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Abstract. Surgeons need a robust interventional system capable of providing reliable, real-time information regarding the position and orientation of the surgical targets and tools to compensate for the lack of direct vision and to enhance manipulation of intracardiac targets during minimally-invasive, off-pump cardiac interventions. In this paper, we describe a novel method for creating dynamic, pre-operative, subjectspecific cardiac models containing the surgical targets and surrounding anatomy, and how they are used to augment the intra-operative virtual environment for guidance of valvular interventions. The accuracy of these pre-operative models was established by comparing the target registration error between the mitral valve annulus characterized in the pre-operative images and their equivalent structures manually extracted from 3D US data. On average, the mitral valve annulus was extracted with a 3.1 mm error across all cardiac phases. In addition, we also propose a method for registering the pre-operative models into the intra-operative virtual environment.

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Three-dimensional echocardiography–guided beating-heart surgery without cardiopulmonary bypass: A feasibility study

Cited by 44 publications

References 23 publications

GPU Based Real-Time Instrument Tracking with Three Dimensional Ultrasound

GPU Based Real-Time Instrument Tracking with Three Dimensional Ultrasound

Atrial Septal Defect Tracking in 3D Cardiac Ultrasound

Towards Subject-Specific Models of the Dynamic Heart for Image-Guided Mitral Valve Surgery

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