Services
PACS-like imaging platform integrated with segmentation and quantification software developed by the Computational Image Analysis Laboratory, upon which the service is provided.
The Computational Image Analysis Laboratory provides services including (but not limited to) image de-identification and transfer, tumor segmentation and characterization, and image-based therapeutic response assessment using both conventional criteria and advanced methods. Image modalities include CT, MRI, PET, and ultrasound. Our software tools work for both 3D and 2D images.
Our Services
Image De-identification
- Standard and customized
Image Transfer
- Thru sftp, DVD/CD, diverse software systems, etc.
Lesion and Organ Segmentation
- All solid tumors such as tumors in lung, liver, lymph node, kidney, pancreas, prostate
- Organs including lung, liver, liver right/left lobes, spleen, kidney, pancreas, prostate
- Breast: lesion, parenchyma enhancement component
- Brain: core infarct, necrosis, edema, brain and its anatomic structures
Lesion Quantification
- Unidimensional, bidimensional and volume measurements
- 1160 radiomics features
Body Fat Quantification
- Visceral fat and subcutaneous fat at any specified anatomical level and over a pre-defined body range
Anatomic and Functional Therapy Response Assessment
- RECIST 1.0/1.1, WHO, Choi, tumor volume, necrosis
- SUVmax, SUVave, total lesion glycolysis (TLG), functional lesion volume
- RANO criteria
- Radiomic features (1160 quantitative image features) and prediction models using multiple ML methods
Computational Image Analysis Laboratory
530 West 166th Street
5th Floor
New York, NY 10032
United States