The quality of thoracic X-rays is depends on the inspiration state of an imaged patient. If the lungs of a patient are not significantly inflated during a thoracic X-ray, tissue from surrounding organs can cause the image to become cloudier, and the lung parenchyma is not effectively shown. Thus, there is a reliance on a medical professional to ensure that the patient is in an appropriate posture and inspiration state at the point of image exposure. This can be difficult with patients suffering from chronic conditions, though. Therefore, this application discusses a means to assess the inspiration state using the position of rib bones, and the diaphragm line in the X-ray image. Thus, an accurate estimate of inspiration state can automatically be reported to a medical professional, before a patient leaves the examination room, allowing an X-ray to be retaken, if necessary.

X-ray image inhalation quality monitoring

Provided are systems, devices, and methods for planning a medical procedure. An exemplary method includes receiving image data of a patient's chest (S402), identifying the patient's lungs in the image data (S404), determining locations of pleural surfaces of the patient's lungs in the image data (S408), identifying a treatment target in the patient's lungs (S410), generating a three-dimensional (3D) model of the patient's lungs based on the image data (S412), the 3D model showing the pleural surfaces of the patient's lungs and the treatment target, determining whether the treatment target invades the pleural surfaces (S414), displaying a view of the 3D model for viewing by a clinician (S416), receiving input from the clinician regarding a plan for the medical procedure (S418), and displaying the plan for the medical procedure (S428).

Systems and methods for detecting pleural invasion for surgical and interventional planning

A method is for positioning a positionable table for a patient inside a medical imaging device. In an embodiment, the method includes a determination of a table position as a function of an organ or body part of the patient for examination; an ascertainment of correction data for correcting the table position; a determination of a corrected table position based on the ascertained correction data; and a positioning of the table at the corrected table position.

Method for positioning a positionable table

The invention provides a pleural effusion discrimination method and device and a computer device, and the method comprises the steps of obtaining a lung CT image, and dividing a pleural region according to bone blocks in the CT image; performing image processing of a preset algorithm on the CT image, and dividing a lung area in the CT image; acquiring a preset number of pixel points within a preset distance below the lung area in the CT image; judging whether pixel points which are equal to or greater than a preset proportion are located in the thoracic cavity area or not, and when the pixel points which are equal to or greater than the preset proportion are located in the thoracic cavity area, determining that the CT image has pleural effusion. The pleural effusion discrimination method can quickly and accurately judge whether the pleural effusion exists in the lung CT image or not, and the pleural effusion diagnosis efficiency of the lung CT image is improved.

A pleural effusion discrimination method and device and a computer device

A method for automatically identifying a potential pleural effusion in medical image data of a thorax of a patient from a scan by means of a medical scanner is provided. It includes at least the steps of accepting rib cage detection data of the rib cage of the patient from the image data, which rib cage detection data include rib cage extent data of a rib cage extent of the interior of the rib cage, accepting lung detection data of the lung of the patient from the image data, which lung detection data comprise lung extent data of a lung extent of the external boundary of the lung, accepting mediastinum detection data of all organs of the mediastinum in the thorax (Th) of the patient from the image data, which mediastinum detection data comprise mediastinum extent data of a mediastinum extent of the external boundary of the mediastinum, and subtracting the lung extent and the mediastinum extent from the rib cage extent while forming pleural effusion identification data.

Automatic identification of a potential pleural effusion

Die Erfindung betrifft ein Verfahren (Z) zur automatischen Erkennung eines potenziellen Pleuraergusses (10) in medizintechnischen Bilddaten (ID) eines Thorax (Th) eines Patienten aus einem Scan mittels eines medizintechnischen Scangerats (25). Es umfasst mindestens die Schritte einer Entgegennahme (A2) von Brustkorb-Detektionsdaten (BD) des Brustkorbs (5) des Patienten aus den Bilddaten (ID), welche Brustkorb-Detektionsdaten (BD) Brustkorb-Erstreckungsdaten (BE) einer Brustkorb-Erstreckung des Innenraums des Brustkorbs (5) umfassen, einer Entgegennahme (A3) von Lungen-Detektionsdaten (LD) der Lunge (1) des Patienten aus den Bilddaten (ID), welche Lungen-Detektionsdaten (LD) Lungen-Erstreckungsdaten (LE) einer Lungen-Erstreckung der Ausenbegrenzung der Lunge (1) umfassen, einer Entgegennahme (A4) von Mediastinum-Detektionsdaten (MD) aller Organe des Mediastinums (9) im Thorax (Th) des Patienten aus den Bilddaten (ID), welche Mediastinum-Detektionsdaten (MD) Mediastinum-Erstreckungsdaten (ME) einer Mediastinum-Erstreckung der Ausenbegrenzung des Mediastinums (9) umfassen, und einer Subtraktion (B) der Lungen-Erstreckung und der Mediastinum-Erstreckung von der Brustkorb-Erstreckung unter Bildung von Pleuraerguss-Erkennungsdaten (PED). Die Erfindung betrifft auserdem ein Erkennungssystem (29) fur denselben Zweck.

Automatische Erkennung eines potenziellen Pleuraergusses

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Automatic identification of a potential pleural effusion

Automatische Erkennung eines potenziellen Pleuraergusses