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Contrast Media & Molecular Imaging
Developments in High Satisfied Cellular Imaging Systems for Molecular Devices
Maintenance and Management Technology of Medical Imaging
Equipment Based on Deep Learning
Abstract
Medical gadget maintenance in current health facility
control is an emerging marginal field that's one of the vital branches of
medical institution management with the twin function of control and era. The
appropriate or awful control of scientific device immediately impacts the
quality of health facility work. With the improvement of technology and
generation, the scale of hospitals continues to increase and expand; hospitals
are geared up with increasingly scientific equipment and its technical content
material is getting higher and better, which makes the clinical equipment control
and protection practitioners greater worrying. However, the situation of
current scientific equipment control and maintenance personnel is not positive.
For this motive, this paper designs an excellent database shape, which can
efficiently lessen information redundancy and higher avoid the issues which
could occur all through the database operation. As a reference tenet for
database design, the three database paradigms may be studied and understood
intensive to assist software designers layout greater “strong” databases,
allowing powerful preservation and control of clinical imaging system.
1. Introduction
As the fashion of engineering, intelligence, and networking
of medical diagnosis and treatment era turns into increasingly obvious, the
proportion of scientific system in clinical and health care expenditure is also
growing . The employees engaged in medical device control and renovation ought
to also be advanced year by means of 12 months and the pleasant necessities of
these personnel are getting better and higher, but the real state of affairs is
that their popularity inside the clinic isn't always clean, they may be
basically below the auxiliary departments or logistics departments, and the
trend of being weakened and marginalized weakened the role of clinical gadget
control and preservation inside the overall scientific activities . Some
hospitals even cancel the scientific system management department to engage
inside the marketization and socialization of medical equipment upkeep, which
makes medical equipment control and protection cannot meet the clinical wishes
in phrases of timeliness or economy, resulting in a shortage of medical gadget
management and protection employees and a large range of task-hopping; many
humans have switched to end up retailers of main foreign clinical system
corporations .
As the diploma of integration increases, the complexity of
the equipment additionally will increase, even as the localization rate of
scientific gadget isn't high, so we are restricted within the subject of
medical gadget [4, 5]. Technology is monopolized coupled with big equipment by
means of the producer's assurance, does no longer provide drawings, units the
password, maintenance era blockade, and so on, and causes the rate of
self-restore of device to say no. Especially for a few high-grade precision
system to shop for a guarantee has grow to be a fashion. Medical gadget
protection surface is more and more narrow plus a selection of different types
of device whose professional division is simply too best; current technical
personnel can best remedy a few simple preservation of device . Due to the
obvious lack of technical employees, many people are running in several jobs;
it is hard to do excellent and is specialised additionally in making clinical
equipment management and maintenance employees work beneath expanded pressure;
in addition, exceptionally low treatment merchandising is hopeless; career
prospects are usually now not desired [7–9].
2. Related Work
In order to achieve more and better studies results in the
subject of imaging the usage of deep mastering techniques and put them into
medical programs as early as possible, primarily based on the version and
characteristics of deep studying, researchers are first required to have a huge
quantity of clinical image annotation data, while a traditional guide
annotation is simply too time-eating and hard, the accuracy of computerized
annotation isn't yet as much as the requirement of deep studying strategies for
high accuracy of datasets, and the results are annotated by means of
traditional strategies. The conventional scientific photograph annotation
strategies and outcomes are therefore now not appropriate to be used in deep
studying research techniques . In terms of scientific picture annotation gear,
despite the fact that there are many software program structures for clinical
image processing from famous large companies inside the medical subject, along
with Neusoft Medical, Heiner Medizin, and Siemens at domestic and abroad, no
corporation or agency has yet evolved a great annotation system for deep
mastering technology in medical image annotation as a brand new research
hotspot blended with the sector of imaging. Although a few image annotation
widgets exist, all of them have a unmarried feature and do not have the
capabilities of acquiring clinical large records, statistics garage, statistics
statistics, annotation of many types and formats of clinical pics, and their
visualization . Therefore, how to extract a massive range of various sorts of
medical photograph data from unique health center PACS system databases, keep,
manage, document, browse, and annotate the pics and annotation report codecs
that may be directly used for deep gaining knowledge of, after which offer a
huge quantity of databases for the studies progress of deep getting to know
generation within the scientific discipline is the primary trouble this is
typically faced and urgently needed to be solved by experts and scholars who
practice deep mastering era to the medical subject [13–18].
3. Overall System Design
three.1. Overall Architecture Design
Based at the research at the hospital web site and the
analysis of the current desires inside the area of scientific picture studies,
the design of this challenge divides the overall gadget architecture into the
subsequent three tiers: interface layer, functional layer, and statistics
exchange layer, as proven in Figure 1. As the name implies, the interface layer
is the not unusual device operation interface, which may be seen at once via
the consumer when starting the software gadget . The layout of the interface
layer typically follows the subsequent standards: to make certain the
perfection of the features whilst making complete use of the interface space,
constant background color, neat typography, special font sizes, and prominent
purposeful modules, so that the interface appears beautiful and generous as an
entire, cozy for the user to use, and smooth to perform; the practical layer is
in particular used to acquire and implement requests for numerous features on
the interface, and to limit the overall. The records exchange layer is in
particular used to complete the facts connection and exchange among the
database and the purchaser, that's liable for the facts trade between the complete
system and the database, and the design of the statistics trade layer needs to
conform with the subsequent standards: to ensure that the device can hook up
with the requested database while wished and perform commonplace database
operations including including, deleting, changing, and checking the
corresponding database desk information, and to require that the gadget may be
connected to the database whilst wished. It is also required that the operation
procedure ought to now not affect other database table statistics and be
accurate .
3.2. Database Design
A properly-designed database structure can efficaciously
reduce records redundancy and higher keep away from feasible troubles at some
stage in database operations. As a reference guideline for database design, an
in-intensity take a look at and understanding of the 3 paradigms can assist
software program designers to layout a extra “robust” database.
Based on this, the database table layout on this venture
strictly follows the fundamental principles of the 3 paradigms.
The First Paradigm (1NF). Atomicity, as an ordinary
characteristic of the primary paradigm, determines that every subject in a
database table is a unmarried characteristic and cannot be subdivided; i.E., no
multiple price can seem within the equal column, as shown in Table 1, which
satisfies this paradigm, and Table 2, which does no longer satisfy this
paradigm.
The Second Paradigm (2NF). The second paradigm is based
totally on the first paradigm, because of this that the second one paradigm is
glad handiest if the primary paradigm is satisfied first. The column used as
the particular identifier for every example in this paradigm table is referred
to as the primary key or number one keyword. This column with a unique
identifier guarantees the distinctiveness of the records rows inside the desk
and avoids the scenario wherein some field values will rely on some of the
fields to exist, therefore doing away with partial dependencies. If, because
there are multiple number one keys within the table, a number of the fields are
completely dependent on the number one key, even as the rest of the fields are
partially dependent on one of the number one keys, the situation of partial
dependency will rise up. At this time, which will make the desk shape conform
to the second paradigm, we cut up the desk and use the cut up number one key as
the unique primary key of every new table, respectively, in order that the
brand new tables all grow to be completely established, which could fulfill the
second paradigm.
The Third Paradigm (3NF). Satisfying the third paradigm
presupposes that the second one paradigm is glad first. This paradigm requires
that each one fields within the desk apart from the number one key rely without
delay at the primary key, and there can be no passing dependencies. By passing
dependency, we suggest that nonprimary key column 1 depends on nonprimary key
column 2, while nonprimary key column 2 depends at the number one key. Since
the fields that generate pass dependency are redundant fields, the design of
the third paradigm removes the pass dependency while better fending off records
redundancy. Similar to the second one paradigm, whilst a skip dependency takes
place, it could also be solved by means of the usage of relational
decomposition, in which the field in the original desk wherein the skip
dependency takes place is taken out and placed into a brand new desk, and the
primary key of the new table is ready to the dependent field inside the
authentic table, at which era the sphere is dealt with as a foreign key of the
original desk.
According to the layout architecture of the whole system,
the database courting diagrams used for every purposeful module are drawn one
at a time the usage of the entity-connection diagram as proven in Figure 2.
As proven in Figures 3–5, the database tables of every
module are designed in keeping with the connection diagram; the patient
information desk to save the migrated information, the Bucket desk to
manipulate the cloud garage files, and the annotation desk to manage and keep
the records related to the statistics to be annotated and annotated, and so
on., are created, respectively.
The first step is to design the database tables for the
records migration module. The database table of this module consists of the
record and storage of fundamental records about sufferers, exam, and prognosis
document facts and examination and analysis photograph information. According
to the sector research, with the intention to meet the demand of every
department for affected person facts, the primary statistics of sufferers,
examination and analysis reviews, and photo facts are generally stored in
extraordinary database tables, so for the operation manner of this gadget, if
the primary statistics of patients and prognosis reviews and picture facts are
also stored in distinctive database tables when designing.
Finally, the database table of the photograph annotation
module is designed to file and shop the photograph files and XML documents
generated after the annotation, in addition to the information of each
annotated affected person. The fields within the annotation facts desk
particularly consist of ImaNum, XmlNum, AnnotationDoctor, AnnotationFlag,
DicomPath, XmlPath, PNGPath, path (PngPath), and other simple affected person
information corresponding to this information. Among them, the photograph
variety and XML file range are the number one keys of the table, which
represent the specific numbers of the saved photographs and generated XML files
after annotation, and are mechanically generated during the annotation process,
and the two numbers correspond to every different; since the entire annotation
system requires the participation of as a minimum 3 expert physicians, the
annotation professional field is used to report the annotation physicians of
every information. The DICOM record path, XML record path, and PNG record path
are used to document the area wherein each photograph records is saved on the
server after annotation. [21–23]
3.Three. Data Exchange Layer Design
The statistics change layer is responsible for the
relationship among the system and the database and the machine's operation on
the database, which is designed to be implemented through ADO (ActiveX Data
Objects). As an object-oriented programming interface, it isn't only a
effective programming version for facts get right of entry to but additionally
the handiest, most direct, and green way to manipulate the databases presently
supported by means of Microsoft. In addition, this technique provides quite a few
comfort for programmers because of its ease of use, velocity, low reminiscence
intake, and other advantages.
ADO (ActiveX Data Objects) incorporates the subsequent
gadgets: Connection, Command, Field, Parameter, Record, Recordset, Property,
Error, Stream, and so on. Error, Stream objects, and so on. The object version
is shown in Figure 6.
The precise steps of the usage of ADO to perform the
database are as follows:(1)First, upload a connection with the ADO dynamic
library report and initialize the library environment(2)Second, connect the
gadget to the database through the Connection object(3)Then, the corresponding
SQL declaration is operated through the Command item, and the facts set of the
execution result is acquired by the Recordset item(four)Finally, the database
connection is disconnected and the corresponding gadgets are launched
The DataManager class within the software layout contains
the operations associated with the entire device and the database. The
SqlConnection object for organising database connection is created within the
constructor of the DataManager elegance, and the configuration records within
the set.Ini configuration file is read, together with the IP cope with of the
required database, the name of the database, the database consumer name, and
the database login password, to connect to the required database. The main
functions contained within the DataManager elegance are RunSqlCommand, GetDS,
and so forth. Among them, the Run SQL Command characteristic is specially
answerable for executing the SQL statements passed as parameters in the
database connected to the program, extra normally used to execute database
replace and delete statements, and so forth.; the principle characteristic of
the Get DS function is to acquire the facts stored inside the database within
the shape of records units. It is specifically used when the gadget plays
question operations. First, edit the corresponding SQL assertion; 2d, create a
brand new DataManager elegance item; 2d, import the SQL statement to be carried
out into the corresponding characteristic; finally, use the function finished
with the aid of the object to realize the operation of the desired database
information.