IBIA: Indian Biological Images Archive

Image Data Submission Report

Generated on: 25 May 2026

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Project Accession: IBIAP_1000000029
Title: 3D medical imaging data in head and neck cancer patients
Representative Image:
Description: The comprehensive dataset specifically includes three-dimensional (3D) medical imaging data acquired from head and neck cancer patients. The primary imaging modality utilized for this collection is Computed Tomography (CT) scanning. CT scans provide detailed cross-sectional images essential for accurate diagnosis, tumor delineation, treatment planning (such as radiation therapy), and monitoring of therapeutic response in oncology. The dataset aims to serve as a high-quality resource for researchers and developers working on projects such as automated tumor segmentation, radiomics analysis, deep learning model training for prognosis prediction, and personalized treatment strategies within the domain of head and neck oncology. The detailed 3D structure captured by the CT scans allows for a more complete and spatial understanding of the disease, moving beyond traditional 2D assessments.
Publications: N/A
Associated Codes (URL only): N/A
Funding agency: N/A
Grant Number: N/A
Ethics Statement: N/A
Any Other Information : N/A
Additional File: N/A
Acknowledgments: The authors acknowledge the Department of Oncoradiology, AIIMS New Delhi, for technical and clinical support.

Sr.No First name Last name Email Organization Designation
1 Amit Gupta amit.aiims2014@gmail.com NCI Jhajjar, All India Institute of Medical Sciences (AIIMS), New Delhi, India Co-Principal Investigator
2 Krithika Rangarajan krithikarangarajan@aiims.edu All India Institute of Medical Sciences (AIIMS), New Delhi, India Principal Investigator
3 Hema Malhotra hemamalhotraaiims.2020@gmail.com All India Institute of Medical Sciences (AIIMS), New Delhi, India Program Manager
4 Ashish Rastogi ashishrastogi.3150@gmail.com All India Institute of Medical Sciences (AIIMS), New Delhi, India Data Analyst
5 Rohit Shah rohitaiims.2024@gmail.com All India Institute of Medical Sciences (AIIMS), New Delhi, India D.E.O

Study Accession: CTS_1000000034
Title: 3D medical imaging data in head and neck cancer patients
Imaging Type: Computed Tomography (CT)
Imaging Sub-type: Diagnostic Radiology
Summary: The comprehensive dataset specifically includes three-dimensional (3D) medical imaging data acquired from head and neck cancer patients. The primary imaging modality utilized for this collection is Computed Tomography (CT) scanning. CT scans provide detailed cross-sectional images essential for accurate diagnosis, tumor delineation, treatment planning (such as radiation therapy), and monitoring of therapeutic response in oncology. The dataset aims to serve as a high-quality resource for researchers and developers working on projects such as automated tumor segmentation, radiomics analysis, deep learning model training for prognosis prediction, and personalized treatment strategies within the domain of head and neck oncology. The detailed 3D structure captured by the CT scans allows for a more complete and spatial understanding of the disease, moving beyond traditional 2D assessments.
Keywords: Laryngeal cancer; Head and Neck cancer; CT scan
Additional / Any Other Information: N/A
Release Date: April 29, 2026
Access Licence Type: Open Access

Table 1. The sample types registered under this study are as follows:
Sample Type IDOrganismTaxon IDBiological EntityLateralitySource TissueSource Cell/Cell-lineCell Organelle
CTSMT_10000000064Homo sapiens 9606 Multiple body regionsBothN/AN/AN/A

The total number of samples registered under this study is: 859

Table 3. The experiment types registered under this study are as follows:
Experiment Type IDInstrument NameInstrument TypeManufacturerModel
CTET_10000000030CT-Scan MachineMultiscliceSiemens HealthineersSomatom Definition Edge


Experimental Design Summary (CTET_10000000030)
The CT scans included in this dataset were performed for patients diagnosed with head and neck cancer at our institute. The CT images include various body regions including face, neck, chest, abdomen and pelvis. These scans were performed at various stages of management of the cancer, including pre-treatment scans, post-radiotherapy response assessment scans, and post-operative follow-up scans. All the scans were double reported by two radiologists - first, a resident radiologist (3-6 years of experience), and second reading by a specialist onco-radiologist (more than 10 years of experience).

Acquired Images Annotation Description (CTET_10000000030)
Each CT scan in the dataset is accompanied by the summary of main findings in the corresponding radiology reports. All the scans were double reported by two radiologists - first, a resident radiologist (3-6 years of experience), and second reading by a specialist onco-radiologist (more than 10 years of experience). The findings from these reports provided in this dataset, are robust scan-level labels for each of the CT exams included in the dataset. Image and pixel-level annotations are not included in this dataset.

The total number of experiments registered under this study is: 859

The total number of images registered under this study is: 859