I was able to attend a college basketball game at Welsh-Ryan Arena in Evanston, Illinois, on Saturday, January 11, 2020. The Northwestern University Wildcats played the University of Nebraska Cornhuskers. Welsh-Ryan Arena recently underwent $110 million of renovations that were completed in late 2018. Even though it was snowing in Evanston at the conclusion of the game, with more snow expected, Northwestern fans turned out with the attendance recorded at 5,664 out of 7,039 (80.4%). My impression though was that the attendance was less than 80% of the capacity in the arena.
Coming into the basketball game, Northwestern had lost all of their four Big Ten conference games and had lost their previous five games. Northwestern played well against Nebraska and never trailed after about 10 minutes into the first half. Northwestern prevailed to beat Nebraska with a score of 62 to 57. Northwestern was coached by Chris Collins and Nebraska was coached by former Chicago Bulls coach Fred Hoiberg.
Nebraska guard Cam Mack added 11 points and 10 rebounds and sunk a 3 three-point field goal to take Nebraska within three points of Northwestern with 51 seconds left in the game. However, Northwestern forward Miller Kopp led the team with 15 points, 5 rebounds and 1 steal, and hit two late free throws with 9 seconds left in the game to clinch the win. Northwestern guard Pat Spencer also added 14 points, 8 rebounds, 5 assists, and 1 steal. In addition, Northwestern forward Robbie Beran added a double double with 10 points and 10 rebounds.
Below are some pictures I took while at Welsh-Ryan Arena during the Nebraska vs Northwestern college basketball game.
I was able to attend the Radiological Society of North America’s (RSNA) 105th Scientific Assembly and Annual Meeting at McCormick Place in Chicago, IL, which occurred from December 1 to December 6, 2019. The annual meeting is a very large gathering of industry leaders in medical imaging, radiologists, and other related industry professionals. This was the 105th Scientific Assembly and Annual Meeting with the tagline: See Possibilities – Together. This year expanded focus on artificial intelligence with a brand new AI Showcase Technical Exhibit in the North Building. More than 100 companies were in the AI Showcase to demo software and products. In addition, the RSNA AI Deep Learning lab, a hands on classroom focusing on using open-source tools for deep learning, was now integrated into the AI Showcase Technical Exhibit. This year the AI Deep Learning Lab featured four unique sessions: Beginner Class: Classification Task, Segmentation, Data Science: Data Wrangling, and Generative Adversarial Networks (GANs).
This year also expanded focus on 3D Printing and Advanced Visualization with an expanded Showcase and Theater offering daily presentations on the latest research and innovations in 3D printing for medical applications. I was able to attend a presentation covering Category III CPT Codes for 3D Printing of Anatomic Models and Guides, Scripting for Segmentation, 3D Printing to Support Research, and Leveraging 3D Printing for Surgical Simulation. It was quite interesting to hear more about the Category III CPT Codes for 3D Printing, which includes 0559T, 0560T, 0561T, and 0562T that went into effect in July, 2019. This should allow for greater adoption by physicians and medical centers. Even so, for those utilizing 3D printing, it was encouraged by the presenter of the CPT code talk to sign up for the RSNA-ACR 3D Printing Registry to help support a future category I CPT code.
As usual there were numerous posters and presentations. Also as usual, there were many exhibitors with medical imaging devices ready to provide demonstrations of their latest technology. New exhibitors this year included Amazon Web Services (AWS) and Medical IP. I was able to attend a few educational courses and scientific sessions. In particular I attended the Artificial Intelligence: Cutting Edge Artificial Intelligence session and Creating Publicly Accessible Radiology Imaging Resources for Machine Learning and AI sessions. In the former session mentioned above, an interesting talk titled Defacing Neuroimages discussed image de-identification using a two-step deep learning model for head CTs and brain MRIs. In the former session, I also was intrigued by a talk titled Automated Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks that discussed automatically detecting vertebral fractures in CT images of the spine using a learning method with 3D features. The latter session featured several talks discussing practical challenges with data preparation including image pre-processing steps, techniques for creating ground truth labeling, and statistical approaches to create training and testing data sets.
Below are some of the pictures I took while at the RSNA annual meeting in 2019, in Chicago, IL.
This patent builds upon work presented in 2017 in a paper titled paper titled “A Phase Confocal Method for Near-Field Microwave Imaging” published in IEEE Transactions on Microwave Theory and Techniques. The patent describes a frequency domain based method that uses electromagnetic waves transmitted and received by antennas to estimate a phase shift caused by an object in the path of the electromagnetic waves. The phase is reversed to allow for an image to be constructed.
The patent provides protection for a system and method for producing microwave images that calculates phase shifts based on a propagation distance from a receiver to a transmitter, compensating a phase using the phase shift, and calculating a variance of the phase shift using an inverse summation. Further, the patent provides protection for a method for producing images that calculates phase shifts based on a propagation distance from a receiver to a transmitter, compensating a phase using the phase shift, and utilizing complex-number detected microwave signals as unit vectors when producing an image. Additionally, the patent provides protection for a method for producing images that calculates phase shifts based on a propagation distance from a receiver to a transmitter and compensating a phase using the phase shift along with information from a phase change in a connector on both the transmitter and receiver end and a phase change in the transmitter and receiver. The patent also provides protection for methods for utilizing multiple frequencies. The high efficiency of the method allows for real-time imaging.
Below is a patent certificate that was created to celebrate the accomplishment of having the patent granted. This is the first patent I have had issued since after the USPTO celebrated the issuance of 10 million patents and changed the patent cover design.
On April 7, 2019, I visited the cherry blossoms in the Tidal Basin along with the National Museum of African Art and the National Portrait Gallery. Below are some pictures taken while visiting the cherry blossoms, national mall, and museums of the Smithsonian Institution mentioned above in Washington, D.C.
The National Museum of African Art and the National Portrait Gallery are part of the Smithsonian Institution which permits still and video photography for noncommercial use, unless otherwise posted, as indicated at https://www.si.edu/visit/security. All images above from inside the National Museum of African Art and the National Portrait Gallery are being used for noncommericial and personal purposes. Refer to the disclaimer http://www.toddmccollough.com/policy-disclaimer/ for additional policies of this site.
On March 31, 2019, I walked around the National Mall in Washington D.C. and visited the cherry blossoms in the Tidal Basin. This was one day before the predicted peak bloom this year when 70% of the blossoms of the Yoshino cherry trees that surround the Tidal Basin are open. I also went inside the West Building of the National Gallery of Art, the Archives of American Art Lawrence A. Fleischman Gallery, and the National Portrait Gallery. Below are some pictures taken in Washington D.C. while visiting the cherry blossoms and museums mentioned above.
The Archives of American Art Lawrence A. Fleischman Gallery and the National Portrait Gallery are part of the Smithsonian which permits still and video photography for noncommercial use only in its museums and exhibitions, unless otherwise posted, as indicated at https://www.si.edu/visit/security. The National Gallery of Art permits photography for personal use unless otherwise prohibited, as indicated at https://www.nga.gov/visit/visitor-policies.html. All images above from inside the National Gallery of Art, Archives of American Art Lawrence A. Fleischman Gallery, and the National Portrait Gallery are being used for noncommericial and personal purposes. Refer to the disclaimer http://www.toddmccollough.com/policy-disclaimer/ for additional policies of this site.