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Single-Seeded Coronary Artery Tracking in CT Angiography

Single-Seeded Coronary Artery Tracking in CT Angiography. Guy Lavi a , Jonathan Lessick a,b , Peter C. Johnson c and Divya Khullar c a Philips Medical Systems Technologies, Haifa, Israel b Rambam Medical Center, Haifa, Israel c Philips Medical Systems, Cleveland, OH. Objective.

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Single-Seeded Coronary Artery Tracking in CT Angiography

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  1. Single-Seeded Coronary Artery Tracking in CT Angiography Guy Lavia, Jonathan Lessicka,b, Peter C. Johnsonc and Divya Khullarc aPhilips Medical Systems Technologies, Haifa, Israel bRambam Medical Center, Haifa, Israel cPhilips Medical Systems, Cleveland, OH

  2. Objective Extract the coronary artery tree from a CT volume dataset in a fast, robust and accurate manner.

  3. Potential Pitfalls • Touching veins • Proximal chambers • Changing gray level along vessel path (down to muscular HU in distal parts) • Branching

  4. Compromise: One Click per Branch • Conforms with user’s native workflow – handling one vessel at a time • Easier registration of results – each branch is labeled by user (for retrieving, reporting etc.) • Increased robustness • Faster – simple decisions; 2-3 sec per vessel

  5. regional (v1) local (v2) angular deviation Define two measures for propagation direction V

  6. Initial filtering • The fat layer is firstly isolated by a predefined threshold • A morphological bottom-hat filter is applied to the fat layer wrapping the heart • A bottom-hat filtering is achieved by subtracting the morphological closing of the binary image (isolated fat) from the binary image itself • Used to enhance non-fatty troughs within the fat layer, i.e. mainly the coronaries

  7. Adaptive threshold • Adapt threshold by testing • front size • local angular deviation • regional angular deviation • Allow gradual decrease in gray level up to 50 HU • Minimum allowable threshold – 50 HU • Avoid overshooting by sorting voxels

  8. Mean diameter & mean direction diameter: contribution of current front direction:

  9. Decision making on front splits – a credit system • Diameter • Minimum angular deviation • Avoid backwards propagation • Gray level decrease

  10. Stopping criteria • Growth rate • Minimum diameter • Maximum angular deviation

  11. Aortic Root Extraction • planar front propagation • watershed segmentation • adaptive erosion

  12. Algorithm Demonstration

  13. Clinical Evaluation

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