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Needle Tip Localization in Ultrasound by Time-aware Deep Neural Networks
Block diagram of the framework for needle tip localization. The input to the neural network consists of a fused image sequence derived from enhanced tip images and their corresponding B-mode images. The red arrow points to the final tip location.
Invention Summary:
Ultrasound imaging is commonly used to guide the placement of needles for tissue...
Published: 10/7/2024
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Inventor(s): John Nosher, Ilker Hacihaliloglu, Cosmas Mwikirize
Keywords(s): Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Medical Imaging, Technology Classifications > Medical Devices
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Methods for Robust, Accurate and Real-time Localization of Needles in 2D and 3D Ultrasound
Invention Summary:
Ultrasound imaging is commonly used to guide the placement of needles for tissue biopsies, catheter insertions, drainages, and anesthesia. However, visual artifacts make it difficult to locate the needle in cases of steep insertion angles (40-80 degrees) and depths (9 cm). Hence, there is a need for a method for real-time needle...
Published: 12/4/2024
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Inventor(s): John Nosher, Ilker Hacihaliloglu, Cosmas Mwikirize
Keywords(s): Imaging
Category(s): Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Medical Imaging, Technology Classifications > Artificial Intelligence & Machine Learning
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Methods for Robust, Accurate and Real-time Localization of Needles in 2D and 3D Ultrasound
Invention Summary:
Ultrasound imaging is commonly used to guide the placement of needles for tissue biopsies, catheter insertions, drainages, and anesthesia. However, visual artifacts make it difficult to locate the needle in cases of steep insertion angles (40-80 degrees) and depths (9 cm). Hence, there is a need for a method for real-time needle...
Published: 12/4/2024
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Inventor(s): John Nosher, Cosmas Mwikirize, Ilker Hacihaliloglu
Keywords(s): Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Medical Imaging, Technology Classifications > Artificial Intelligence & Machine Learning
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