Healthcare
24 columns
200 rows
8 formats

Healthcare Imaging Metadata Features

This dataset provides comprehensive metadata for medical imaging studies across multiple modalities, including technical parameters, workflow status, and institutional context. It is ideal for AI/ML research, operational analytics, and workflow optimization in healthcare imaging environments, supporting classification, resource planning, and longitudinal patient analysis.

last updated 20 Aug 2025
by GoMask

The brief that made it

AI/ML model development for image classification and anomaly detection

Sample rows

preview · 8 of 200 rows · all 24 columns

image_idstring	modalitystring	image_heightinteger	contrast_usedboolean	manufacturerstring	patient_idstring	body_part_examinedstring	study_datedate	acquisition_datetimedatetime	institution_namestring	device_modelstring	image_widthinteger	pixel_spacing_xfloat	pixel_spacing_yfloat	slice_thicknessfloat	number_of_slicesinteger	image_formatstring	image_file_sizeinteger	study_descriptionstring	referring_physicianstring	procedure_codestring	workflow_statusstring	report_availableboolean	report_datedate
IMG000001	CT	1024	true	Siemens	P101	Chest	2022-03-12	2022-03-12T09:14:21	Starlake Medical Center	SOMATOM Definition	1024	0.7	0.7	1.5	350	DICOM	22900000	CT Chest for pulmonary embolism assessment	Dr. Lisa Harmon	CPT71260	Completed	true	2022-03-13
IMG000002	MRI	480	false	Philips	P102	Brain	2023-09-22	2023-09-22T11:02:41	River City Hospital	Ingenia 3.0T	512	0.5	0.5	2.2	30	DICOM	3500000	MRI Brain for headache evaluation	Dr. Emily Chen	CPT70553	Reported	true	2023-09-23
IMG000003	X-ray	2048	false	GE	P103	Chest	2024-01-05	2024-01-05T14:30:10	Downtown Imaging Center	Discovery XR656	2048	0.22	0.22	blank	blank	JPEG	4600000	X-ray Chest for cough evaluation	Dr. John Carter	CPT71020	Completed	true	2024-01-06
IMG000004	Mammography	4096	false	Hologic	P104	Breast	2022-11-08	2022-11-08T10:18:53	Women's Health Imaging	Selenia Dimensions	4096	0.13	0.13	blank	blank	TIFF	9700000	Mammography for routine screening	Dr. Sarah Patel	CPT77067	Completed	true	2022-11-09
IMG000005	Ultrasound	720	false	GE	P105	Abdomen	2023-06-14	2023-06-14T08:44:33	Northside Imaging	Logiq E9	1280	0.18	0.18	blank	blank	PNG	615000	Abdominal ultrasound for pain assessment	Dr. Priya Singh	CPT76700	Reported	true	2023-06-15
IMG000006	CT	2048	true	Canon	P101	Abdomen	2022-03-17	2022-03-17T12:07:11	Starlake Medical Center	Aquilion Prime	2048	0.6	0.6	1	600	DICOM	31000000	CT Abdomen for mass evaluation	Dr. Lisa Harmon	CPT74177	Completed	true	2022-03-18
IMG000007	X-ray	3000	false	Siemens	P106	Leg	2023-08-02	2023-08-02T09:20:45	Downtown Imaging Center	Multix Fusion	1500	0.3	0.3	blank	blank	JPEG	3800000	X-ray Leg for fracture diagnosis	Dr. John Carter	CPT73590	Scheduled	false	blank
IMG000008	MRI	512	false	GE	P107	Knee	2022-12-15	2022-12-15T13:10:12	River City Hospital	Signa Explorer	480	0.4	0.4	2.7	36	DICOM	2400000	MRI Knee for ligament assessment	Dr. Andrew Lee	CPT73721	Completed	true	2022-12-16
IMG000009	Ultrasound	640	false	Mindray	P108	Thyroid	2023-10-07	2023-10-07T15:41:08	Northside Imaging	DC-80	640	0.18	0.18	blank	blank	PNG	435000	Thyroid assessment for nodules	Dr. Priya Singh	CPT76536	Completed	true	2023-10-08
IMG000010	PET	256	true	GE	P109	Whole Body	2024-02-27	2024-02-27T12:20:00	Oncology Diagnostics	Discovery MI	256	2.5	2.5	3.2	120	DICOM	29000000	PET scan for cancer staging	Dr. Michael Fox	SNM001	Completed	true	2024-02-28
IMG000011	Other	200	false	blank	P110	Pelvis	2023-05-13	blank	Experimental Radiology Suite	blank	200	1.8	1.8	blank	blank	Other	110000	Experimental imaging for pelvic pain	Dr. Unknown	UNKNOWN	Canceled	false	blank
IMG000012	CT	1536	true	Siemens	P111	Abdomen	2024-03-28	2024-03-28T10:09:49	River City Hospital	SOMATOM Perspective	1536	0.8	0.8	2	800	DICOM	39000000	CT Abdomen for follow-up	Dr. Karen Zhou	CPT74176	Reported	true	2024-03-29
IMG000013	MRI	480	false	Philips	P112	Spine	2022-04-18	2022-04-18T16:43:02	River City Hospital	Achieva 1.5T	512	0.5	0.5	3	40	DICOM	4100000	MRI Spine for back pain	Dr. Emily Chen	CPT72156	Scheduled	false	blank
IMG000014	Ultrasound	960	false	Samsung	P113	Heart	2023-02-20	2023-02-20T09:21:31	River City Hospital	RS85	1280	0.15	0.15	blank	blank	PNG	720000	Heart assessment for arrhythmia	Dr. Karen Zhou	CPT93306	Reported	true	2023-02-21
IMG000015	X-ray	2500	false	GE	P114	Forearm	2024-03-09	2024-03-09T17:45:09	Downtown Imaging Center	Optima XR220amx	1200	0.19	0.19	blank	blank	PNG	840000	X-ray Forearm for trauma evaluation	Dr. John Carter	CPT73092	Completed	true	2024-03-10
IMG000016	PET	300	true	Siemens	P115	Heart	2022-08-12	2022-08-12T15:10:25	Oncology Diagnostics	Biograph Vision	300	3	3	1.8	75	DICOM	10200000	PET scan for cardiac perfusion	Dr. Michael Fox	SNM002	Completed	true	2022-08-13
IMG000017	Ultrasound	1080	false	GE	P116	Fetal	2023-01-17	2023-01-17T10:38:13	Women's Health Imaging	Voluson E10	1920	0.18	0.18	blank	blank	PNG	780000	Fetal assessment for growth	Dr. Sarah Patel	CPT76805	Completed	true	2023-01-18
IMG000018	Mammography	4096	false	Siemens	P117	Breast	2022-04-19	2022-04-19T09:55:38	Women's Health Imaging	MAMMOMAT Inspiration	4096	0.11	0.11	blank	blank	TIFF	9600000	Mammography for post-surgery follow-up	Dr. Sarah Patel	CPT77066	Canceled	false	blank
IMG000019	CT	1024	true	Philips	P118	Chest	2023-11-23	2023-11-23T07:45:59	River City Hospital	Brilliance 64	1024	0.7	0.7	1	600	DICOM	23200000	CT Chest for pneumonia evaluation	Dr. Emily Chen	CPT71250	Reported	true	2023-11-24
IMG000020	MRI	512	false	GE	P119	Brain	2024-04-05	2024-04-05T14:31:45	River City Hospital	Signa Pioneer	512	0.5	0.5	2.1	32	DICOM	4200000	MRI Brain for dizziness work-up	Dr. Andrew Lee	CPT70553	Reported	true	2024-04-06

What the 200 rows show

from the 200-row sample

Mammography modality stands out: mean image_height is 4,042, against 1,082 for the rest.

29%contrast_used = true
1,024median image_height
5image formats
5workflow statuses
14body part examineds
34referring physicians

Mean image_height by modality200 rows

image_height200 rows, in bands of 500

Median 1,024, from 110 to 4,096.

manufacturer178 rows with a value · 22 left blank

GE49
Siemens41
Philips29
Canon20
Hologic15
Samsung13
Mindray11

24 columns by typefrom the column list below

string 12
integer 4
float 3
date 2
datetime 1
boolean 2

Columns

24 columns in four groups

blueprint · 24 columns
column	type	description	example
Text 12 columns
`image_id`	string	Unique identifier for each imaging study or image fileunique	IMG000001
`patient_id`	string	De-identified patient identifier associated with the image	P101
`modality`	string	Imaging modality used (e.g., CT, MRI, X-ray, Ultrasound, PET)7 values	CT
`body_part_examined`	string	Body part or region imaged (e.g., Chest, Abdomen, Brain)	Chest
`institution_name`	string	Name of the medical institution or imaging centeroptional	Starlake Medical Center
`manufacturer`	string	Imaging device manufacturer (e.g., Siemens, GE, Philips)7 manufacturers · optional	Siemens
`device_model`	string	Model of the imaging device usedoptional	SOMATOM Definition
`image_format`	string	File format of the image (e.g., DICOM, JPEG, PNG)DICOM · JPEG · PNG · TIFF · Other	DICOM
`study_description`	string	Free-text description or clinical indication for the imaging studyoptional	CT Abdomen for follow-up
`referring_physician`	string	Name or identifier of the referring physicianoptional	Dr. Lisa Harmon
`procedure_code`	string	Standardized procedure code (e.g., CPT, LOINC, SNOMED)optional	CPT71260
`workflow_status`	string	Current workflow status (e.g., Scheduled, In Progress, Completed, Reported)Scheduled · In Progress · Completed · Reported · Canceled	Completed
Numbers 7 columns
`image_width`	integer	Width of the image in pixels1 or more · optional	1024
`image_height`	integer	Height of the image in pixels1 or more · optional	1024
`pixel_spacing_x`	float	Physical spacing between pixels in the X direction (mm)0 or more · optional	0.7
`pixel_spacing_y`	float	Physical spacing between pixels in the Y direction (mm)0 or more · optional	0.7
`slice_thickness`	float	Thickness of each image slice (mm), applicable for 3D modalities0 or more · optional	1.5
`number_of_slices`	integer	Number of slices in the imaging study (for 3D modalities)1 or more · optional	350
`image_file_size`	integer	Size of the image file in bytes1 or more · optional	22900000
Dates and times 3 columns
`study_date`	date	Date when the imaging study was performed	2022-03-12
`acquisition_datetime`	datetime	Exact date and time when the image was acquiredoptional	2022-03-12T09:14:21
`report_date`	date	Date when the radiology report was finalizedoptional	2022-03-13
True or false 2 columns
`contrast_used`	boolean	Indicates if contrast agent was used during imagingoptional	true
`report_available`	boolean	Indicates if a radiology report is available for this studyoptional	true

Use it for

A healthcare dashboard
The contrast_used rate, image_height by modality and a breakdown of manufacturer. Excel, Power BI or Tableau.
Why do the 19 Mammography rows have a mean image_height of 4,042?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Images200
IMG0000011024CT
IMG000002480MRI
IMG0000062048CT
A software demo
Believable images with patient_id, modality and body_part_examined to fill a screen in front of a buyer.

This dataset200 rows24 columns

Yours1,000 rows24 columns

blueprint · healthcare-imaging-metadata-features

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 24 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Imaging type and modality included
Patient demographics anonymized
Image acquisition parameters tracked
Diagnosis flag available

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: healthcare-imaging-metadata-features

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

A healthcare dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Healthcare

What should your data show?