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MIPG Lab at Penn Medicine: Segmentation of representative organs in thorax and abdomen from CT images.

Segmentation of representative organs in thorax and abdomen from CT images.

 

The 11th International Conference on Image and Graphics (ICIG) will be held in Haikou, China, on August 6 – 8, 2021

Conference of Note:
The 11th International Conference on Image and Graphics
is coming to Haikou, China, August 6-8, 2021. The ICIG focuses on technologies of image, video and graphics processing and fosters entrepreneurship and networking.

Focus

The Medical Image Processing Group (MIPG) at Penn Radiology is one of the oldest and longest active leading research groups in the world engaged in research on the processing, visualization, and analysis of medical images and the medical and clinical applications of these computerized methods.

Some areas of current research study include body-wide Automatic Anatomy Recognition (AAR), body-wide disease quantification (DQ), body composition assessment, radiation therapy planning, pre-treatment planning in thoracic insufficiency syndrome (TIS), and study of obstructive sleep apnea via dynamic MRI.

Faculty And Staff

Jayaram K. Udupa, PhD

Jayaram K. Udupa, PhD

Chief of Section
Professor of Radiologic Science in Radiology
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Drew A. Torigian, MD, Clinical Director, Medical Imaging Processing Group (MIPG)

Drew A. Torigian, MD, MA

Clinical Director

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Yubing Tong, PhD Senior Research Investigator, Medical Image Processing Group

Yubing Tong, PhD

Director of Operations
Senior Research Investigator

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Chris Ciesielski, PhD Adjunct Professor, Medical Image Processing Group

Chris Ciesielski, PhD

Adjunct Professor
Dewey Odhner, MA Systems Manager, Medical Image Processing Group

Dewey Odhner, MA

Systems Manager
Liming Zhao, PhD Post-doctoral Fellow, Medical Image Processing Group

Liming Zhao, PhD

Post-Doctoral Fellow
Caiyun Wu, BS Technical Assistant, Medical Image Processing Group

Caiyun Wu, MS

Technical Assistant
Chao Jin, PhD., Post-Doctoral Fellow, Medical Image Processing Group

Chao Jin, PhD

Post-Doctoral Fellow
Tiange Liu, PhD, Postdoc Research Fellow, Medical Image Processing Group

Tiange Liu, PhD

Post-Doctoral Fellow
Aliasghar Mortazi, MS, PhD Student, Medical Image Processing Group

Aliasghar Mortazi, PhD

Post-Doctoral Fellow
Jizheng Yi, PhD Visiting Scholar, Medical Image Processing Group

Jizheng Yi, PhD

Visiting Scholar
Jieyu Li, MS PhD Student, Medical Image Processing Group

Jieyu Li, MS

PhD Student
Changian Sun, MS PhD Student, Medical Image Processing Group

Changian Sun, MS

PhD Student
You Hao, MS PhD Student, Medical Image Processing Group

You Hao, MS

PhD Student

Recent Publications

  1. Xu G, Cao H, Udupa JK, Tong Y, Torigian DA. DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images. Comput Med Imaging Graph. 2020;88:101851. doi: 10.1016/j.compmedimag.2020.101851. PubMed PMID: 33465588.
  2. Tong Y, Udupa JK, McDonough JM, Wu C, Sun C, Qiu C, Lott C, Galagedera N, Anari JB, Mayer OH, Torigian DA, Cahill PJ. Thoracic Quantitative Dynamic MRI to Understand Developmental Changes in Normal Ventilatory Dynamics. Chest. 2020. doi: 10.1016/j.chest.2020.07.066. PubMed PMID: 32768456.
  3. Udupa JK, Tong Y, Capraro A, McDonough JM, Mayer OH, Ho S, Wileyto P, Torigian DA, Campbell RM, Jr. Understanding Respiratory Restrictions as a Function of the Scoliotic Spinal Curve in Thoracic Insufficiency Syndrome: A 4D Dynamic MR Imaging Study. J Pediatr Orthop. 2020;40(4):183-9. doi: 10.1097/BPO.0000000000001258. PubMed PMID: 32132448; PMCID: PMC6426694.
  4. Li J, Udupa JK, Tong Y, Wang L, Torigian DA. LinSEM: Linearizing segmentation evaluation metrics for medical images. Med Image Anal. 2020;60:101601. doi: 10.1016/j.media.2019.101601. PubMed PMID: 31811980; PMCID: PMC6980787.
  5. Xu G, Udupa JK, Tong Y, Odhner D, Cao H, Torigian DA. AAR-LN-DQ: Automatic Anatomy Recognition based Disease Quantification in Thoracic Lymph Node Zones via FDG PET/CT images without Nodal Delineation. Med Phys. 2020. doi: 10.1002/mp.14240. PubMed PMID: 32418221.
  6. Liu T, Pan J, Torigian DA, Xu P, Miao Q, Tong Y, Udupa JK. ABCNet: A new efficient 3D dense-structure network for segmentation and analysis of body tissue composition on body-torso-wide CT images. Med Phys. 2020. doi: 10.1002/mp.14141. PubMed PMID: 32170754.
  7. Tong Y, Udupa JK, McDonough JM, Wileyto EP, Capraro A, Wu C, Ho S, Galagedera N, Talwar D, Mayer OH, Torigian DA, Campbell RM. Quantitative Dynamic Thoracic MRI: Application to Thoracic Insufficiency Syndrome in Pediatric Patients. Radiology. 2019;292(1):206-13. doi: 10.1148/radiol.2019181731. PubMed PMID: 31112090; PMCID: PMC6614911.

Contact Us

Medical Image Processing Group
Department of Radiology
3710 Hamilton  Walk
#602W, 6th Floor, Goddard Laboratories
Philadelphia, Pennsylvania, 19104

Cathy Oliva
catherine.oliva@pennmedicine.upenn.edu
Phone: (215) 615-8042

Learn more about the MIPG

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