Systems and methods for optical medical instrument patient measurements
Presented are systems and methods for the accurate acquisition of medical measurement data of a body part of patient. To assist in acquiring accurate medical measurement data, an automated diagnostic and treatment system provides instructions to the patient to allow the patient to precisely position a medical instrument in proximity to a target spot of a body part of patient. Based on a series of images acquired from a kiosk camera and an instrument camera, these instructions are generated. Subsequent images from instrument camera are analyzed by automated diagnostic and treatment system utilizing a database and deep convolution neural network (DCNN) to obtain measured medical data. An error threshold measurement by the automated diagnostic and treatment system may determine the accuracy of the instrument positioning and the medical measured data. The measured medical data may be communicated to a physician.
1. A system comprising:
an automated diagnostic system comprising a database;
a deep learning system coupled to the automated diagnostic system;
one or more camera modules operable to send images of an instrument, which is in proximity to a body part of a patient, to the automated diagnostic system; and
the instrument comprising an instrument camera and operable to send images of the body part of the patient to the automated diagnostic system, wherein the patient controls instrument's movement,
wherein, the automated diagnostic system, utilizing the images from the one or more camera modules, the images from the instrument camera and the deep learning system, provide visual instructions to the patient to adjust the instrument from a first position to a second position proximately closer to a target spot of the body part of the patient.
2. The system according to claim 1 , further comprising:
a patient interface station operable to send and receive information from the automated diagnostic system, the one or more camera modules and the instrument.
3. The system according to claim 1 , wherein the automated diagnostic system is operable to analyze information provided by the one or more camera modules, the instrument and the deep learning system to generate medical measured data of the body part of the patient.
4. The system according to claim 3 , wherein the medical measured data of the body part of the patient is communicated to a physician and a deep learning database.
5. The system according to claim 1 , wherein the one or more camera modules provide a pose estimate based on time of flight of multiple light signals emitted from each of the one or more camera modules and reflected back to the one or more camera modules.
6. The system according to claim 1 , wherein the one or more camera modules determine a location, an angle and a rotation of the instrument relative to the body part of the patient.
7. The system according to claim 6 , wherein the one or more camera modules determine the rotation of the instrument relative to the body part of the patient based on an identifiable marker on the instrument, wherein the identifiable marker comprises an image and/or a serial number.
8. The system according to claim 7 , wherein other instructions may be communicated to the patient via haptic feedback sensors.
9. The system according to claim 1 , wherein the instrument is an opthalmoscope, intraoral camera, auriscope, or otoscope.