KU lab (Home)

KU lab (Home)

Welcome!

Welcome to temporary KU lab website! We are a group of engineers and physicists at Radiological Physics Division (RPD), Department of Radiology, Johns Hopkins University School of Medicine. Our lab’s philosophies are:

  • Develop novel technologies that will change the game 
  • Be genuine and respectful, and earn respect from the community 
  • Enjoy doing the above, but family and health always come first 

We wish to develop technologies that enable quantum leaps in medical imaging. We identify clinically important problems and tackle them by taking theoretically sound engineering approaches, respecting physics and math, and taking into account physiology and medicine. We have a long history of developing novel technologies for x-ray CT such as spectral, photon counting CT, and are now expanding for intra-interventional perfusion imaging. We are enjoying our exciting projects and working hard to make real-world impacts. That said, we truly believe that work–life balance is critical for our long-term success and that family and health always come first.

Opportunities

We are hiring a PhD student for fall, 2024 and a postdoc research fellow for fall, 2023. We wish to start Medical Physics PhD program for fall, 2024. We hope to help you achieve your full potential and advance to the next stage. Click here for more information.

News

  • March 1, 2024. Donghyeon Lee’s Medical Physics paper on a photon counting detector model was highlighted as one of seven featured papers in the journal email. Congratulations Donghyeon!! [Link]
  • February 20, 2024. Shalini Subramanian presented her paper on IPEN at SPIE Medical Imaging 2024 . The first person at the microphone asked, “Can you explain to me like you would talk to a kid how your method works? It sounds like a magic to me.” 😄
  • January 11, 2024. Donghyeon Lee’s paper on a photon counting detector model has been published in Medical Physics. It is the first model that can handle both (a) a global, count-rate-dependent model–data mismatch and (b) a local, pixel- and energy bin-specific deviation from averaged (good) pixels. A hard work like this adds practical values to sophisticated models and deserves recognition. Congratulations Donghyeon!! We are proud of you! [Link]
  • January 11, 2024. Ken Taguchi’s paper on direct energy binning has been published in Medical Physics. Congratulations Ken!! [Link]
  • November 27, 2023. Shalini Subramanian gave a talk on IPEN at RSNA 2023 and did an excellent job. Congratulations Shalini!! We are so proud of you!
  • November 27, 2023. Junyu Chen has been selected as one of Forbes 30 under 30 in Healthcare. Wow! This is incredible! Congratulations Junyu!!
  • November 14, 2023. Shalini Subramanian received the Best Clinical Poster Award at Radiology Research Day for IPEN work. This is a rare accomplishment for a non-MR, non-cancer work. Congratulations Shalini!!
  • November 8, 2023. Shalini Subramanian, Donghyeon Lee, and Ken Taguchi presented their posters at 2023 IEEE Nuclear Science Symposium and Medical Imaging Conference in Vancouver, Canada. Congratulations!! The information can be found at Shalini’s, Donghyeon’s, and Ken’s.
  • August 2023. Scarlett Wei has joined KU lab. Welcome Scarlett!! It is great to have you!
  • May 8, 2023. Junyu Chen received a Johns Hopkins Discovery Award 2023. Yay! His award is entitled, “Constructing Whole-body PET/CT Atlas for PSMA Therapy Dosimetry.” The selection process was very competitive this year, with an acceptance rate of 18% (35 out of 191 proposals, many from established investigators). This is an amazing first step as an independent researcher. Congratulations!! Here is the link.

  • April 18, 2023. Junyu Chen’s first-author papers had been ones of the most downloaded papers in Medical Image Analysis and Medical Physics, respectively. Wow!! Congratulations!!