Company Filing History:

7 out of 30,028

Siemens Aktiengesellschaft

patents

2 out of 2,075

Siemens Medical Solutions Usa, Inc.

Years Active: 2011-2014

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11 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 8693750 - Method and system for automatic detection of spinal bone lesions in 3D medical image data (2014-04-08),

2. 8571285 - Automated rib ordering and pairing (2013-10-29),

3. 8428688 - Automatic femur segmentation and condyle line detection in 3D MR scans for alignment of high resolution MR (2013-04-23),

4. 8423124 - Method and system for spine visualization in 3D medical images (2013-04-16),

5. 8411919 - Fluid dynamics approach to image segmentation (2013-04-02),

6. 8331669 - Method and system for interactive segmentation using texture and intensity cues (2012-12-11),

7. 8300975 - Piecewise smooth Mumford-Shah on an arbitrary graph (2012-10-30),

8. 8170330 - Machine learning for tissue labeling segmentation (2012-05-01),

9. 8107699 - Feature processing for lung nodules in computer assisted diagnosis (2012-01-31),

10. 7957591 - Method and apparatus for performing segmentation based on partial differential equations (2011-06-07),

11. 7917336 - Geometric source separation signal processing technique (2011-03-29),

Title: Christopher Vincent Alvino: Innovator in Medical Imaging Technology

Introduction

Christopher Vincent Alvino is a notable inventor based in Allenwood, NJ (US), recognized for his contributions to medical imaging technology. With a total of 11 patents to his name, Alvino has made significant advancements in the automatic detection and analysis of spinal bone lesions.

Latest Patents

One of Alvino's latest patents is a method and system for automatic detection of spinal bone lesions in 3D medical image data. This innovative approach allows for the automatic detection and volumetric quantification of bone lesions in 3D medical images, such as 3D computed tomography (CT) volumes. The system detects regions of interest corresponding to bone regions in a 3D medical image. Bone lesions are identified using a cascade of trained detectors that automatically locate lesion centers and estimate their size across all three spatial axes. A hierarchical multi-scale approach is employed to enhance the detection of bone lesions through a cascade of detectors operating on multiple levels of a resolution pyramid of the 3D medical image. Another significant patent involves automated rib ordering and pairing, where ribs are automatically ordered and paired using magnetic and spring functions to solve for rib pairing while maintaining order and accounting for missing or fused ribs.

Career Highlights

Throughout his career, Alvino has worked with prominent companies in the medical technology sector, including Siemens Aktiengesellschaft and Siemens Medical Solutions USA, Inc. His work has contributed to the development of advanced medical imaging solutions that improve diagnostic accuracy and patient care.

Collaborations

Alvino has collaborated with notable professionals in the field, including Leo John Grady and Atilla Peter Kiraly. These collaborations have further enhanced the impact of his innovations in medical imaging technology.

Conclusion

Christopher Vincent Alvino is a distinguished inventor whose work in medical imaging technology has led to significant advancements in the automatic detection of spinal bone lesions. His contributions continue to influence the field and improve healthcare outcomes.

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