Dataset Card for DMR-IR

DMR-IR is an infrared imaging dataset for Mamma Research, featuring TIFF raw temperature images and clinical metadata with generated text prompts from data acquired at Antônio Pedro University Hospital. It supports multimodal research in breast imaging and diagnostics.

Dataset Details

Dataset Description

The DMR-IR dataset is an infrared imaging database for Mamma Research, developed from clinical data acquired at the Antônio Pedro University Hospital. It comprises IR images, digitized mammograms, and associated clinical data from patients in both the screening and gynecologic departments. The IR images were captured using a FLIR SC620 thermal camera with a sensitivity of less than 0.04°C and a capture range of -40°C to 500°C, at a resolution of 640 × 480 pixels. Data acquisition was approved by the Ethical Committee and registered with the Brazilian Ministry of Health (CAAE: 01042812.0.0000.5243). The dataset is accessible through an online interface.

In our processed version, the original temperature matrices have been converted to TIFF format. Additionally, clinical metadata has been used to generate descriptive text prompts via a custom Python function, summarizing personal, clinical, and protocol information to facilitate multimodal research.

Curated by: Guillermo Pinto, Brayan Quintero, Julian Leon, Miguel Pimiento, Dana Villamizar
Shared by [optional]: The original dataset was shared by Silva, L. F.; Saade, D. C. M.; Sequeiros, G. O.; Silva, A. C.; Paiva, A. C.; Bravo, R. S.; Conci, A.
Language(s) (NLP): English.
License: Not provided – please update if applicable.

Dataset Sources [optional]

Repository: DMR-IR Online Interface
Paper [optional]: DOI: https://doi.org/10.1166/jmihi.2014.1226

Uses

Direct Use

This dataset is intended for research in breast imaging and diagnostic analysis, including:

Developing and testing IR image processing and analysis algorithms.
Investigating clinical correlations with infrared imaging features.
Utilizing generated text prompts for multimodal research.

Out-of-Scope Use

The dataset should not be used as the sole source for clinical decision making without extensive validation.
It is not recommended for commercial applications if license restrictions apply.
Applications outside of its intended research context are not advised.

Dataset Structure

The dataset comprises multiple components:

IR Images: TIFF images obtained from temperature matrices.
Text Prompts: Descriptive sentences generated from the clinical metadata using a custom Python function (see code snippet here).

Dataset Creation

Curation Rationale

The dataset was curated to improve the usability of the original IR images by converting them from temperature matrices to TIFF format, enhancing reproducibility. In addition, the integration of descriptive clinical metadata allows the clinical context to be incorporated into image analysis workflows.

Source Data

The original data was collected at Antônio Pedro University Hospital and comprises:

Infrared images captured with a FLIR SC620 thermal camera.
Digitized mammograms.
Clinical data from both healthy patients and patients with breast diseases.

Data Collection and Processing

Original Collection: Data was acquired from patients in the screening and gynecologic departments following ethical guidelines approved by the hospital’s Ethical Committee and registered under CAAE: 01042812.0.0000.5243.
Processing: The original temperature matrices were converted to TIFF format. Clinical metadata was processed using a custom Python function to generate text prompts summarizing risk factors, complementary features, and protocol details.

Who are the source data producers?

The original dataset was produced by:

Silva, L. F.
Saade, D. C. M.
Sequeiros, G. O.
Silva, A. C.
Paiva, A. C.
Bravo, R. S.
Conci, A.

Annotations [optional]

Annotation process

The dataset does not include manual annotations beyond the automated generation of clinical text prompts based on existing metadata.

Personal and Sensitive Information

The clinical metadata includes sensitive personal and medical information such as risk factors (e.g., eating habits, family history, radiotherapy, hormone replacement, age, menarche/menopause), complementary features (e.g., prosthesis, nipple changes), and protocol details (e.g., smoking, alcohol, coffee consumption). Although explicit identifiers are not provided, the data is sensitive and should be handled in accordance with applicable privacy regulations.

Bias, Risks, and Limitations

The dataset reflects the clinical demographics and practices of a specific hospital in Brazil, which may limit its generalizability to other populations.
The calibration process and text prompt generation depend on the accuracy of the thermal parser tool and the quality of the clinical metadata.
The selection of clinical features may introduce bias that could affect downstream analysis.

Recommendations

Users should be aware of the clinical context, potential biases, and technical limitations when utilizing this dataset. It is recommended to validate any findings with additional data sources and clinical expertise prior to application in real-world settings.